Patent Application
20180164873
The present disclosure pertains to the field of processing logic, microprocessors, and associated instruction set architecture that, when executed by the processor or other processing logic, perform logical, mathematical, or other functional operations.
Power management is used in electrical devices, such as, for example, a processor, a system-on-chip (SoCs) and other integrated circuits, to reduce power consumption. The reduction in power is typically done by turning off or placing all or portions of a device in a lower power state when it's less active or inactive. That is, when nothing useful is being performed, various parts of the device can be powered down to save energy.
Some devices have various power management states. For example, some processors have multiple idle states, referred to as C-states. In one implementation, there are six C-states, namely C0-C6, where C0 is an active state with full power and performance, and C6 is a deep sleep state in which power is shut off to the entire processor and processor state is saved in a small memory.
In order to enter one of the reduced power consumption states, in one implementation, a power control unit (PCU), or P-unit, proceeds through a number of phases of a finite state machine (FSM) and communicates every phase of the power management flow serially to the core or intellectual property (IP) units being managed. The PCU waits until the core has completed executing each phase before starting a new phase. After each phase is completed, the core sends an acknowledgement indicating that the power phase has been completed. In response to the acknowledgement, the PCU starts sending communications for the next phase. The back and forth communication that proceeds serially between the PCU and the core as phases are performed has high performance cost.
Embodiments are illustrated by way of example and not limitation in the Figures of the accompanying drawings:
A multiphase power control flow and method for performing the same are described. In one embodiment, the power control flow is a flow for placing part of a device, such as, for example, an integrated circuit (e.g., a processor, system-on-chip (SoC), etc.) into a sleep state. The part of the device may be, for example, a core, controller, processing unit, or intellectual property (IP) block. In one embodiment, the sleep state is a deep sleep state (e.g., a C6 C-state). In another embodiment, the power control flow is a flow for performing dynamic voltage and frequency scaling (DVFS) with respect to a component.
In one embodiment, processing logic performs the power control flow within or in association with a processor, computer system, or other processing apparatus. In the following description, numerous specific details such as processing logic, processor types, micro-architectural conditions, events, enablement mechanisms, and the like are set forth in order to provide a more thorough understanding of embodiments of the present invention. It will be appreciated, however, by one skilled in the art that the invention may be practiced without such specific details. Additionally, some well known structures, circuits, and the like have not been shown in detail to avoid unnecessarily obscuring embodiments of the present invention.
Although the following embodiments are described with reference to a processor, other embodiments are applicable to other types of integrated circuits and logic devices. Similar techniques and teachings of embodiments of the present invention can be applied to other types of circuits or semiconductor devices that can benefit from higher pipeline throughput and improved performance. The teachings of embodiments of the present invention are applicable to any processor or machine that performs data manipulations. However, the present invention is not limited to processors or machines that perform 512 bit, 256 bit, 128 bit, 64 bit, 32 bit, or 16 bit data operations and can be applied to any processor and machine in which manipulation or management of data is performed. In addition, the following description provides examples, and the accompanying drawings show various examples for the purposes of illustration. However, these examples should not be construed in a limiting sense as they are merely intended to provide examples of embodiments of the present invention rather than to provide an exhaustive list of all possible implementations of embodiments of the present invention.
Although the below examples describe instruction handling and distribution in the context of execution units and logic circuits, other embodiments of the present invention can be accomplished by way of a data or instructions stored on a machine-readable, tangible medium, which when performed by a machine cause the machine to perform functions consistent with at least one embodiment of the invention. In one embodiment, functions associated with embodiments of the present invention are embodied in machine-executable instructions. The instructions can be used to cause a general-purpose or special-purpose processor that is programmed with the instructions to perform the steps of the present invention. Embodiments of the present invention may be provided as a computer program product or software which may include a machine or computer-readable medium having stored thereon instructions which may be used to program a computer (or other electronic devices) to perform one or more operations according to embodiments of the present invention. Alternatively, steps of embodiments of the present invention might be performed by specific hardware components that contain fixed-function logic for performing the steps, or by any combination of programmed computer components and fixed-function hardware components.
Instructions used to program logic to perform embodiments of the invention can be stored within a memory in the system, such as DRAM, cache, flash memory, or other storage. Furthermore, the instructions can be distributed via a network or by way of other computer readable media. Thus a machine-readable medium may include any mechanism for storing or transmitting information in a form readable by a machine (e.g., a computer), but is not limited to, floppy diskettes, optical disks, Compact Disc, Read-Only Memory (CD-ROMs), and magneto-optical disks, Read-Only Memory (ROMs), Random Access Memory (RAM), Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), magnetic or optical cards, flash memory, or a tangible, machine-readable storage used in the transmission of information over the Internet via electrical, optical, acoustical or other forms of propagated signals (e.g., carrier waves, infrared signals, digital signals, etc.). Accordingly, the computer-readable medium includes any type of tangible machine-readable medium suitable for storing or transmitting electronic instructions or information in a form readable by a machine (e.g., a computer).
A design may go through various stages, from creation to simulation to fabrication. Data representing a design may represent the design in a number of manners. First, as is useful in simulations, the hardware may be represented using a hardware description language or another functional description language. Additionally, a circuit level model with logic and/or transistor gates may be produced at some stages of the design process. Furthermore, most designs, at some stage, reach a level of data representing the physical placement of various devices in the hardware model. In the case where conventional semiconductor fabrication techniques are used, the data representing the hardware model may be the data specifying the presence or absence of various features on different mask layers for masks used to produce the integrated circuit. In any representation of the design, the data may be stored in any form of a machine readable medium. A memory or a magnetic or optical storage such as a disc may be the machine readable medium to store information transmitted via optical or electrical wave modulated or otherwise generated to transmit such information. When an electrical carrier wave indicating or carrying the code or design is transmitted, to the extent that copying, buffering, or re-transmission of the electrical signal is performed, a new copy is made. Thus, a communication provider or a network provider may store on a tangible, machine-readable medium, at least temporarily, an article, such as information encoded into a carrier wave, embodying techniques of embodiments of the present invention.
In modern processors, a number of different execution units are used to process and execute a variety of code and instructions. Not all instructions are created equal as some are quicker to complete while others can take a number of clock cycles to complete. The faster the throughput of instructions, the better the overall performance of the processor. Thus it would be advantageous to have as many instructions execute as fast as possible. However, there are certain instructions that have greater complexity and require more in terms of execution time and processor resources. For example, there are floating point instructions, load/store operations, data moves, etc.
As more computer systems are used in internet, text, and multimedia applications, additional processor support has been introduced over time. In one embodiment, an instruction set may be associated with one or more computer architectures, including data types, instructions, register architecture, addressing modes, memory architecture, interrupt and exception handling, and external input and output (I/O).
In one embodiment, the instruction set architecture (ISA) may be implemented by one or more micro-architectures, which includes processor logic and circuits used to implement one or more instruction sets. Accordingly, processors with different micro-architectures can share at least a portion of a common instruction set. For example, Intel® Pentium 4 processors, Intel® Core™ processors, and processors from Advanced Micro Devices, Inc. of Sunnyvale CA implement nearly identical versions of the x86 instruction set (with some extensions that have been added with newer versions), but have different internal designs. Similarly, processors designed by other processor development companies, such as ARM Holdings, Ltd., MIPS, or their licensees or adopters, may share at least a portion a common instruction set, but may include different processor designs. For example, the same register architecture of the ISA may be implemented in different ways in different micro-architectures using new or well-known techniques, including dedicated physical registers, one or more dynamically allocated physical registers using a register renaming mechanism (e.g., the use of a Register Alias Table (RAT), a Reorder Buffer (ROB) and a retirement register file. In one embodiment, registers may include one or more registers, register architectures, register files, or other register sets that may or may not be addressable by a software programmer.
In one embodiment, an instruction may include one or more instruction formats. In one embodiment, an instruction format may indicate various fields (number of bits, location of bits, etc.) to specify, among other things, the operation to be performed and the operand(s) on which that operation is to be performed. Some instruction formats may be further broken defined by instruction templates (or sub formats). For example, the instruction templates of a given instruction format may be defined to have different subsets of the instruction format's fields and/or defined to have a given field interpreted differently. In one embodiment, an instruction is expressed using an instruction format (and, if defined, in a given one of the instruction templates of that instruction format) and specifies or indicates the operation and the operands upon which the operation will operate.
Scientific, financial, auto-vectorized general purpose, RMS (recognition, mining, and synthesis), and visual and multimedia applications (e.g., 2D/3D graphics, image processing, video compression/decompression, voice recognition algorithms and audio manipulation) may require the same operation to be performed on a large number of data items. In one embodiment, Single Instruction Multiple Data (SIMD) refers to a type of instruction that causes a processor to perform an operation on multiple data elements. SIMD technology may be used in processors that can logically divide the bits in a register into a number of fixed-sized or variable-sized data elements, each of which represents a separate value. For example, in one embodiment, the bits in a 64-bit register may be organized as a source operand containing four separate 16-bit data elements, each of which represents a separate 16-bit value. This type of data may be referred to as ‘packed’ data type or ‘vector’ data type, and operands of this data type are referred to as packed data operands or vector operands. In one embodiment, a packed data item or vector may be a sequence of packed data elements stored within a single register, and a packed data operand or a vector operand may a source or destination operand of a SIMD instruction (or ‘packed data instruction’ or a ‘vector instruction’). In one embodiment, a SIMD instruction specifies a single vector operation to be performed on two source vector operands to generate a destination vector operand (also referred to as a result vector operand) of the same or different size, with the same or different number of data elements, and in the same or different data element order.
SIMD technology, such as that employed by the Intel® Core™ processors having an instruction set including x86, MMX™, Streaming SIMD Extensions (SSE), SSE2, SSE3, SSE4.1, and SSE4.2 instructions, ARM processors, such as the ARM Cortex® family of processors having an instruction set including the Vector Floating Point (VFP) and/or NEON instructions, and MIPS processors, such as the Loongson family of processors developed by the Institute of Computing Technology (ICT) of the Chinese Academy of Sciences, has enabled a significant improvement in application performance (Core™ and MMX™ are registered trademarks or trademarks of Intel Corporation of Santa Clara, Calif.).
In one embodiment, destination and source registers/data are generic terms to represent the source and destination of the corresponding data or operation. In some embodiments, they may be implemented by registers, memory, or other storage areas having other names or functions than those depicted. For example, in one embodiment, “DEST1” may be a temporary storage register or other storage area, whereas “SRC1” and “SRC2” may be a first and second source storage register or other storage area, and so forth. In other embodiments, two or more of the SRC and DEST storage areas may correspond to different data storage elements within the same storage area (e.g., a SIMD register). In one embodiment, one of the source registers may also act as a destination register by, for example, writing back the result of an operation performed on the first and second source data to one of the two source registers serving as a destination registers.
Embodiments are not limited to computer systems. Alternative embodiments of the present invention can be used in other devices such as handheld devices and embedded applications. Some examples of handheld devices include cellular phones, Internet Protocol devices, digital cameras, personal digital assistants (PDAs), and handheld PCs. Embedded applications can include a micro controller, a digital signal processor (DSP), system on a chip, network computers (NetPC), set-top boxes, network hubs, wide area network (WAN) switches, or any other system that can perform one or more instructions in accordance with at least one embodiment.
In one embodiment, the processor 102 includes a Level 1 (L1) internal cache memory 104. Depending on the architecture, the processor 102 can have a single internal cache or multiple levels of internal cache. Alternatively, in another embodiment, the cache memory can reside external to the processor 102. Other embodiments can also include a combination of both internal and external caches depending on the particular implementation and needs. Register file 106 can store different types of data in various registers including integer registers, floating point registers, status registers, and instruction pointer register.
Execution unit 108, including logic to perform integer and floating point operations, also resides in the processor 102. The processor 102 also includes a microcode (ucode) ROM that stores microcode for certain macroinstructions. For one embodiment, execution unit 108 includes logic to handle a packed instruction set 109. By including the packed instruction set 109 in the instruction set of a general-purpose processor 102, along with associated circuitry to execute the instructions, the operations used by many multimedia applications may be performed using packed data in a general-purpose processor 102. Thus, many multimedia applications can be accelerated and executed more efficiently by using the full width of a processor's data bus for performing operations on packed data. This can eliminate the need to transfer smaller units of data across the processor's data bus to perform one or more operations one data element at a time.
Alternate embodiments of an execution unit 108 can also be used in micro controllers, embedded processors, graphics devices, DSPs, and other types of logic circuits. System 100 includes a memory 120. Memory 120 can be a dynamic random access memory (DRAM) device, a static random access memory (SRAM) device, flash memory device, or other memory device. Memory 120 can store instructions and/or data represented by data signals that can be executed by the processor 102.
A system logic chip 116 is coupled to the processor bus 110 and memory 120. The system logic chip 116 in the illustrated embodiment is a memory controller hub (MCH). The processor 102 can communicate to the MCH 116 via a processor bus 110. The MCH 116 provides a high bandwidth memory path 118 to memory 120 for instruction and data storage and for storage of graphics commands, data and textures. The MCH 116 is to direct data signals between the processor 102, memory 120, and other components in the system 100 and to bridge the data signals between processor bus 110, memory 120, and system I/O 122. In some embodiments, the system logic chip 116 can provide a graphics port for coupling to a graphics controller 112. The MCH 116 is coupled to memory 120 through a memory interface 118. The graphics card 112 is coupled to the MCH 116 through an Accelerated Graphics Port (AGP) interconnect 114.
System 100 uses a proprietary hub interface bus 122 to couple the MCH 116 to the I/O controller hub (ICH) 130. The ICH 130 provides direct connections to some I/O devices via a local I/O bus. The local I/O bus is a high-speed I/O bus for connecting peripherals to the memory 120, chipset, and processor 102. Some examples are the audio controller, firmware hub (flash BIOS) 128, wireless transceiver 126, data storage 124, legacy I/O controller containing user input and keyboard interfaces, a serial expansion port such as Universal Serial Bus (USB), and a network controller 134. The data storage device 124 can comprise a hard disk drive, a floppy disk drive, a CD-ROM device, a flash memory device, or other mass storage device.
For another embodiment of a system, an instruction in accordance with one embodiment can be used with a system on a chip. One embodiment of a system on a chip comprises of a processor and a memory. The memory for one such system is a flash memory. The flash memory can be located on the same die as the processor and other system components. Additionally, other logic blocks such as a memory controller or graphics controller can also be located on a system on a chip.
Computer system 140 comprises a processing core 159 capable of performing at least one instruction in accordance with one embodiment. For one embodiment, processing core 159 represents a processing unit of any type of architecture, including but not limited to a CISC, a RISC or a VLIW type architecture. Processing core 159 may also be suitable for manufacture in one or more process technologies and by being represented on a machine readable media in sufficient detail, may be suitable to facilitate said manufacture.
Processing core 159 comprises an execution unit 142, a set of register file(s) 145, and a decoder 144. Processing core 159 also includes additional circuitry (not shown) which is not necessary to the understanding of embodiments of the present invention. Execution unit 142 is used for executing instructions received by processing core 159. In addition to performing typical processor instructions, execution unit 142 can perform instructions in packed instruction set 143 for performing operations on packed data formats. Packed instruction set 143 includes instructions for performing embodiments of the invention and other packed instructions. Execution unit 142 is coupled to register file 145 by an internal bus. Register file 145 represents a storage area on processing core 159 for storing information, including data. As previously mentioned, it is understood that the storage area used for storing the packed data is not critical. Execution unit 142 is coupled to decoder 144. Decoder 144 is used for decoding instructions received by processing core 159 into control signals and/or microcode entry points. In response to these control signals and/or microcode entry points, execution unit 142 performs the appropriate operations. In one embodiment, the decoder is used to interpret the opcode of the instruction, which will indicate what operation should be performed on the corresponding data indicated within the instruction.
Processing core 159 is coupled with bus 141 for communicating with various other system devices, which may include but are not limited to, for example, synchronous dynamic random access memory (SDRAM) control 146, static random access memory (SRAM) control 147, burst flash memory interface 148, personal computer memory card international association (PCMCIA)/compact flash (CF) card control 149, liquid crystal display (LCD) control 150, direct memory access (DMA) controller 151, and alternative bus master interface 152. In one embodiment, data processing system 140 may also comprise an I/O bridge 154 for communicating with various I/O devices via an I/O bus 153. Such I/O devices may include but are not limited to, for example, universal asynchronous receiver/transmitter (UART) 155, universal serial bus (USB) 156, Bluetooth wireless UART 157 and I/O expansion interface 158.
One embodiment of data processing system 140 provides for mobile, network and/or wireless communications and a processing core 159 capable of performing SIMD operations including a text string comparison operation. Processing core 159 may be programmed with various audio, video, imaging and communications algorithms including discrete transformations such as a Walsh-Hadamard transform, a fast Fourier transform (FFT), a discrete cosine transform (DCT), and their respective inverse transforms; compression/decompression techniques such as color space transformation, video encode motion estimation or video decode motion compensation; and modulation/demodulation (MODEM) functions such as pulse coded modulation (PCM).
For one embodiment, SIMD coprocessor 161 comprises an execution unit 162 and a set of register file(s) 164. One embodiment of main processor 165 comprises a decoder 165 to recognize instructions of instruction set 163 including instructions in accordance with one embodiment for execution by execution unit 162. For alternative embodiments, SIMD coprocessor 161 also comprises at least part of decoder 165B to decode instructions of instruction set 163. Processing core 170 also includes additional circuitry (not shown) which is not necessary to the understanding of embodiments of the present invention.
In operation, the main processor 166 executes a stream of data processing instructions that control data processing operations of a general type including interactions with the cache memory 167, and the input/output system 168. Embedded within the stream of data processing instructions are SIMD coprocessor instructions. The decoder 165 of main processor 166 recognizes these SIMD coprocessor instructions as being of a type that should be executed by an attached SIMD coprocessor 161. Accordingly, the main processor 166 issues these SIMD coprocessor instructions (or control signals representing SIMD coprocessor instructions) on the coprocessor bus 166 where from they are received by any attached SIMD coprocessors. In this case, the SIMD coprocessor 161 will accept and execute any received SIMD coprocessor instructions intended for it.
Data may be received via wireless interface 169 for processing by the SIMD coprocessor instructions. For one example, voice communication may be received in the form of a digital signal, which may be processed by the SIMD coprocessor instructions to regenerate digital audio samples representative of the voice communications. For another example, compressed audio and/or video may be received in the form of a digital bit stream, which may be processed by the SIMD coprocessor instructions to regenerate digital audio samples and/or motion video frames. For one embodiment of processing core 170, main processor 166, and a SIMD coprocessor 161 are integrated into a single processing core 170 comprising an execution unit 162, a set of register file(s) 164, and a decoder 165 to recognize instructions of instruction set 163 including instructions in accordance with one embodiment.
Some instructions are converted into a single micro-op, whereas others need several micro-ops to complete the full operation. In one embodiment, if more than four micro-ops are needed to complete a instruction, the decoder 228 accesses the microcode ROM 232 to do the instruction. For one embodiment, an instruction can be decoded into a small number of micro ops for processing at the instruction decoder 228. In another embodiment, an instruction can be stored within the microcode ROM 232 should a number of micro-ops be needed to accomplish the operation. The trace cache 230 refers to a entry point programmable logic array (PLA) to determine a correct micro-instruction pointer for reading the micro-code sequences to complete one or more instructions in accordance with one embodiment from the micro-code ROM 232. After the microcode ROM 232 finishes sequencing micro-ops for an instruction, the front end 201 of the machine resumes fetching micro-ops from the trace cache 230.
The out-of-order execution engine 203 is where the instructions are prepared for execution. The out-of-order execution logic has a number of buffers to smooth out and re-order the flow of instructions to optimize performance as they go down the pipeline and get scheduled for execution. The allocator logic allocates the machine buffers and resources that each uop needs in order to execute. The register renaming logic renames logic registers onto entries in a register file. The allocator also allocates an entry for each uop in one of the two uop queues, one for memory operations and one for non-memory operations, in front of the instruction schedulers: memory scheduler, fast scheduler 202, slow/general floating point scheduler 204, and simple floating point scheduler 206. The uop schedulers 202, 204, 206, determine when a uop is ready to execute based on the readiness of their dependent input register operand sources and the availability of the execution resources the uops need to complete their operation. The fast scheduler 202 of one embodiment can schedule on each half of the main clock cycle while the other schedulers can only schedule once per main processor clock cycle. The schedulers arbitrate for the dispatch ports to schedule uops for execution.
Register files 208, 210, sit between the schedulers 202, 204, 206, and the execution units 212, 214, 216, 218, 220, 222, 224 in the execution block 211. There is a separate register file 208, 210, for integer and floating point operations, respectively. Each register file 208, 210, of one embodiment also includes a bypass network that can bypass or forward just completed results that have not yet been written into the register file to new dependent uops. The integer register file 208 and the floating point register file 210 are also capable of communicating data with the other. For one embodiment, the integer register file 208 is split into two separate register files, one register file for the low order 32 bits of data and a second register file for the high order 32 bits of data. The floating point register file 210 of one embodiment has 128 bit wide entries because floating point instructions typically have operands from 64 to 128 bits in width.
The execution block 211 contains the execution units 212, 214, 216, 218, 220, 222, 224, where the instructions are actually executed. This section includes the register files 208, 210, that store the integer and floating point data operand values that the micro-instructions need to execute. The processor 200 of one embodiment is comprised of a number of execution units: address generation unit (AGU) 212, AGU 214, fast ALU 216, fast ALU 218, slow ALU 220, floating point ALU 222, floating point move unit 224. For one embodiment, the floating point execution blocks 222, 224, execute floating point, MMX, SIMD, and SSE, or other operations. The floating point ALU 222 of one embodiment includes a 64 bit by 64 bit floating point divider to execute divide, square root, and remainder micro-ops. For embodiments of the present invention, instructions involving a floating point value may be handled with the floating point hardware. In one embodiment, the ALU operations go to the high-speed ALU execution units 216, 218. The fast ALUs 216, 218, of one embodiment can execute fast operations with an effective latency of half a clock cycle. For one embodiment, most complex integer operations go to the slow ALU 220 as the slow ALU 220 includes integer execution hardware for long latency type of operations, such as a multiplier, shifts, flag logic, and branch processing. Memory load/store operations are executed by the AGUs 212, 214. For one embodiment, the integer ALUs 216, 218, 220, are described in the context of performing integer operations on 64 bit data operands. In alternative embodiments, the ALUs 216, 218, 220, can be implemented to support a variety of data bits including 16, 32, 128, 256, etc. Similarly, the floating point units 222, 224, can be implemented to support a range of operands having bits of various widths. For one embodiment, the floating point units 222, 224, can operate on 128 bits wide packed data operands in conjunction with SIMD and multimedia instructions.
In one embodiment, the uops schedulers 202, 204, 206, dispatch dependent operations before the parent load has finished executing. As uops are speculatively scheduled and executed in processor 200, the processor 200 also includes logic to handle memory misses. If a data load misses in the data cache, there can be dependent operations in flight in the pipeline that have left the scheduler with temporarily incorrect data. A replay mechanism tracks and re-executes instructions that use incorrect data. Only the dependent operations need to be replayed and the independent ones are allowed to complete. The schedulers and replay mechanism of one embodiment of a processor are also designed to catch instruction sequences for text string comparison operations.
The term “registers” may refer to the on-board processor storage locations that are used as part of instructions to identify operands. In other words, registers may be those that are usable from the outside of the processor (from a programmer's perspective). However, the registers of an embodiment should not be limited in meaning to a particular type of circuit. Rather, a register of an embodiment is capable of storing and providing data, and performing the functions described herein. The registers described herein can be implemented by circuitry within a processor using any number of different techniques, such as dedicated physical registers, dynamically allocated physical registers using register renaming, combinations of dedicated and dynamically allocated physical registers, etc. In one embodiment, integer registers store thirty-two bit integer data. A register file of one embodiment also contains eight multimedia SIMD registers for packed data. For the discussions below, the registers are understood to be data registers designed to hold packed data, such as 64 bits wide MMX™ registers (also referred to as ‘mm’ registers in some instances) in microprocessors enabled with MMX technology from Intel Corporation of Santa Clara, Calif. These MMX registers, available in both integer and floating point forms, can operate with packed data elements that accompany SIMD and SSE instructions. Similarly, 128 bits wide XMM registers relating to SSE2, SSE3, SSE4, or beyond (referred to generically as “SSEx”) technology can also be used to hold such packed data operands. In one embodiment, in storing packed data and integer data, the registers do not need to differentiate between the two data types. In one embodiment, integer and floating point are either contained in the same register file or different register files. Furthermore, in one embodiment, floating point and integer data may be stored in different registers or the same registers.
In the examples of the following figures, a number of data operands are described.
Generally, a data element is an individual piece of data that is stored in a single register or memory location with other data elements of the same length. In packed data sequences relating to SSEx technology, the number of data elements stored in a XMM register is 128 bits divided by the length in bits of an individual data element. Similarly, in packed data sequences relating to MMX and SSE technology, the number of data elements stored in an MMX register is 64 bits divided by the length in bits of an individual data element. Although the data types illustrated in
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The core 490 may be a reduced instruction set computing (RISC) core, a complex instruction set computing (CISC) core, a very long instruction word (VLIW) core, or a hybrid or alternative core type. As yet another option, the core 490 may be a special-purpose core, such as, for example, a network or communication core, compression engine, graphics core, or the like.
The front end unit 430 includes a branch prediction unit 432 coupled to an instruction cache unit 434, which is coupled to an instruction translation lookaside buffer (TLB) 436, which is coupled to an instruction fetch unit 438, which is coupled to a decode unit 440. The decode unit or decoder may decode instructions, and generate as an output one or more micro-operations, micro-code entry points, microinstructions, other instructions, or other control signals, which are decoded from, or which otherwise reflect, or are derived from, the original instructions. The decoder may be implemented using various different mechanisms. Examples of suitable mechanisms include, but are not limited to, look-up tables, hardware implementations, programmable logic arrays (PLAs), microcode read only memories (ROMs), etc. The instruction cache unit 434 is further coupled to a level 2 (L2) cache unit 476 in the memory unit 470. The decode unit 440 is coupled to a rename/allocator unit 452 in the execution engine unit 450.
The execution engine unit 450 includes the rename/allocator unit 452 coupled to a retirement unit 454 and a set of one or more scheduler unit(s) 456. The scheduler unit(s) 456 represents any number of different schedulers, including reservations stations, central instruction window, etc. The scheduler unit(s) 456 is coupled to the physical register file(s) unit(s) 458. Each of the physical register file(s) units 458 represents one or more physical register files, different ones of which store one or more different data types, such as scalar integer, scalar floating point, packed integer, packed floating point, vector integer, vector floating point, etc., status (e.g., an instruction pointer that is the address of the next instruction to be executed), etc. The physical register file(s) unit(s) 458 is overlapped by the retirement unit 154 to illustrate various ways in which register renaming and out-of-order execution may be implemented (e.g., using a reorder buffer(s) and a retirement register file(s), using a future file(s), a history buffer(s), and a retirement register file(s); using a register maps and a pool of registers; etc.). Generally, the architectural registers are visible from the outside of the processor or from a programmer's perspective. The registers are not limited to any known particular type of circuit. Various different types of registers are suitable as long as they are capable of storing and providing data as described herein. Examples of suitable registers include, but are not limited to, dedicated physical registers, dynamically allocated physical registers using register renaming, combinations of dedicated and dynamically allocated physical registers, etc. The retirement unit 454 and the physical register file(s) unit(s) 458 are coupled to the execution cluster(s) 460. The execution cluster(s) 460 includes a set of one or more execution units 162 and a set of one or more memory access units 464. The execution units 462 may perform various operations (e.g., shifts, addition, subtraction, multiplication) and on various types of data (e.g., scalar floating point, packed integer, packed floating point, vector integer, vector floating point). While some embodiments may include a number of execution units dedicated to specific functions or sets of functions, other embodiments may include only one execution unit or multiple execution units that all perform all functions. The scheduler unit(s) 456, physical register file(s) unit(s) 458, and execution cluster(s) 460 are shown as being possibly plural because certain embodiments create separate pipelines for certain types of data/operations (e.g., a scalar integer pipeline, a scalar floating point/packed integer/packed floating point/vector integer/vector floating point pipeline, and/or a memory access pipeline that each have their own scheduler unit, physical register file(s) unit, and/or execution cluster—and in the case of a separate memory access pipeline, certain embodiments are implemented in which only the execution cluster of this pipeline has the memory access unit(s) 464). It should also be understood that where separate pipelines are used, one or more of these pipelines may be out-of-order issue/execution and the rest in-order.
The set of memory access units 464 is coupled to the memory unit 470, which includes a data TLB unit 472 coupled to a data cache unit 474 coupled to a level 2 (L2) cache unit 476. In one exemplary embodiment, the memory access units 464 may include a load unit, a store address unit, and a store data unit, each of which is coupled to the data TLB unit 472 in the memory unit 470. The L2 cache unit 476 is coupled to one or more other levels of cache and eventually to a main memory.
By way of example, the exemplary register renaming, out-of-order issue/execution core architecture may implement the pipeline 400 as follows: 1) the instruction fetch 438 performs the fetch and length decoding stages 402 and 404; 2) the decode unit 440 performs the decode stage 406; 3) the rename/allocator unit 452 performs the allocation stage 408 and renaming stage 410; 4) the scheduler unit(s) 456 performs the schedule stage 412; 5) the physical register file(s) unit(s) 458 and the memory unit 470 perform the register read/memory read stage 414; the execution cluster 460 perform the execute stage 416; 6) the memory unit 470 and the physical register file(s) unit(s) 458 perform the write back/memory write stage 418; 7) various units may be involved in the exception handling stage 422; and 8) the retirement unit 454 and the physical register file(s) unit(s) 458 perform the commit stage 424.
The core 490 may support one or more instructions sets (e.g., the x86 instruction set (with some extensions that have been added with newer versions); the MIPS instruction set of MIPS Technologies of Sunnyvale, Calif.; the ARM instruction set (with optional additional extensions such as NEON) of ARM Holdings of Sunnyvale, Calif.).
It should be understood that the core may support multithreading (executing two or more parallel sets of operations or threads), and may do so in a variety of ways including time sliced multithreading, simultaneous multithreading (where a single physical core provides a logical core for each of the threads that physical core is simultaneously multithreading), or a combination thereof (e.g., time sliced fetching and decoding and simultaneous multithreading thereafter such as in the Intel® Hyperthreading technology).
While register renaming is described in the context of out-of-order execution, it should be understood that register renaming may be used in an in-order architecture. While the illustrated embodiment of the processor also includes a separate instruction and data cache units 434/474 and a shared L2 cache unit 476, alternative embodiments may have a single internal cache for both instructions and data, such as, for example, a Level 1 (L1) internal cache, or multiple levels of internal cache. In some embodiments, the system may include a combination of an internal cache and an external cache that is external to the core and/or the processor. Alternatively, all of the cache may be external to the core and/or the processor.
The memory hierarchy includes one or more levels of cache within the cores, a set or one or more shared cache units 506, and external memory (not shown) coupled to the set of integrated memory controller units 514. The set of shared cache units 506 may include one or more mid-level caches, such as level 2 (L2), level 3 (L3), level 4 (L4), or other levels of cache, a last level cache (LLC), and/or combinations thereof. While in one embodiment a ring based interconnect unit 512 interconnects the integrated graphics logic 508, the set of shared cache units 506, and the system agent unit 510, alternative embodiments may use any number of well-known techniques for interconnecting such units.
In some embodiments, one or more of the cores 502A-N are capable of multi-threading. The system agent 510 includes those components coordinating and operating cores 502A-N. The system agent unit 510 may include for example a power control unit (PCU) and a display unit. The PCU may be or include logic and components needed for regulating the power state of the cores 502A-N and the integrated graphics logic 508. The display unit is for driving one or more externally connected displays.
The cores 502A-N may be homogenous or heterogeneous in terms of architecture and/or instruction set. For example, some of the cores 502A-N may be in order while others are out-of-order. As another example, two or more of the cores 502A-N may be capable of execution the same instruction set, while others may be capable of executing only a subset of that instruction set or a different instruction set.
The processor may be a general-purpose processor, such as a Core™ i3, i5, i7, 2 Duo and Quad, Xeon™, Itanium™, XScale™ or StrongARM™ processor, which are available from Intel Corporation, of Santa Clara, Calif. Alternatively, the processor may be from another company, such as ARM Holdings, Ltd, MIPS, etc. The processor may be a special-purpose processor, such as, for example, a network or communication processor, compression engine, graphics processor, co-processor, embedded processor, or the like. The processor may be implemented on one or more chips. The processor 500 may be a part of and/or may be implemented on one or more substrates using any of a number of process technologies, such as, for example, BiCMOS, CMOS, or NMOS.
Referring now to
Each processor 610,615 may be some version of the processor 500. However, it should be noted that it is unlikely that integrated graphics logic and integrated memory control units would exist in the processors 610,615.
The GMCH 620 may be a chipset, or a portion of a chipset. The GMCH 620 may communicate with the processor(s) 610, 615 and control interaction between the processor(s) 610, 615 and memory 640. The GMCH 620 may also act as an accelerated bus interface between the processor(s) 610, 615 and other elements of the system 600. For at least one embodiment, the GMCH 620 communicates with the processor(s) 610, 615 via a multi-drop bus, such as a frontside bus (FSB) 695.
Furthermore, GMCH 620 is coupled to a display 645 (such as a flat panel display). GMCH 620 may include an integrated graphics accelerator. GMCH 620 is further coupled to an input/output (I/O) controller hub (ICH) 650, which may be used to couple various peripheral devices to system 600. Shown for example in the embodiment of
Alternatively, additional or different processors may also be present in the system 600. For example, additional processor(s) 615 may include additional processors(s) that are the same as processor 610, additional processor(s) that are heterogeneous or asymmetric to processor 610, accelerators (such as, e.g., graphics accelerators or digital signal processing (DSP) units), field programmable gate arrays, or any other processor. There can be a variety of differences between the physical resources 610, 615 in terms of a spectrum of metrics of merit including architectural, micro-architectural, thermal, power consumption characteristics, and the like. These differences may effectively manifest themselves as asymmetry and heterogeneity amongst the processors 610, 615. For at least one embodiment, the various processors 610, 615 may reside in the same die package.
Referring now to
While shown with only two processors 770, 780, it is to be understood that the scope of the present invention is not so limited. In other embodiments, one or more additional processors may be present in a given processor.
Processors 770 and 780 are shown including integrated memory controller units 772 and 782, respectively. Processor 770 also includes as part of its bus controller units point-to-point (P-P) interfaces 776 and 778; similarly, second processor 780 includes P-P interfaces 786 and 788. Processors 770, 780 may exchange information via a point-to-point (P-P) interface 750 using P-P interface circuits 778, 788. As shown in
Processors 770, 780 may each exchange information with a chipset 790 via individual P-P interfaces 752, 754 using point to point interface circuits 776, 794, 786, 798. Chipset 790 may also exchange information with a high-performance graphics circuit 738 via a high-performance graphics interface 739.
A shared cache (not shown) may be included in either processor or outside of both processors, yet connected with the processors via P-P interconnect, such that either or both processors' local cache information may be stored in the shared cache if a processor is placed into a low power mode.
Chipset 790 may be coupled to a first bus 716 via an interface 796. In one embodiment, first bus 716 may be a Peripheral Component Interconnect (PCI) bus, or a bus such as a PCI Express bus or another third generation I/O interconnect bus, although the scope of the present invention is not so limited.
As shown in
Referring now to
Referring now to
In some embodiments, instructions that benefit from highly parallel, throughput processors may be performed by the GPU, while instructions that benefit from the performance of processors that benefit from deeply pipelined architectures may be performed by the CPU. For example, graphics, scientific applications, financial applications and other parallel workloads may benefit from the performance of the GPU and be executed accordingly, whereas more sequential applications, such as operating system kernel or application code may be better suited for the CPU.
In
One or more aspects of at least one embodiment may be implemented by representative data stored on a machine-readable medium which represents various logic within the processor, which when read by a machine causes the machine to fabricate logic to perform the techniques described herein. Such representations, known as “IP cores” may be stored on a tangible, machine readable medium (“tape”) and supplied to various customers or manufacturing facilities to load into the fabrication machines that actually make the logic or processor. For example, IP cores, such as the Cortex™ family of processors developed by ARM Holdings, Ltd. and Loongson IP cores developed the Institute of Computing Technology (ICT) of the Chinese Academy of Sciences may be licensed or sold to various customers or licensees, such as Texas Instruments, Qualcomm, Apple, or Samsung and implemented in processors produced by these customers or licensees.
In some embodiments, one or more instructions may correspond to a first type or architecture (e.g., x86) and be translated or emulated on a processor of a different type or architecture (e.g., ARM). An instruction, according to one embodiment, may therefore be performed on any processor or processor type, including ARM, x86, MIPS, a GPU, or other processor type or architecture.
Instruction and logic for performing a multiphase power control flow are described. In one embodiment, the power control flow is a flow for putting part of a device, such as, for example, an integrated circuit (e.g., a processor, system-on-chip (SoC), etc.), into a sleep state. The part of the device may be, for example, a core, controller, or intellectual property (IP) block, or some other part of the device. In one embodiment, the sleep state is a deep sleep state, such as, for example, a C6 C-state. In another embodiment, the power control flow is a flow for performing dynamic voltage and frequency scaling (DVFS) with respect to a part of the device.
In one embodiment, the techniques described herein are implemented in an integrated circuit that comprises multiple processing entities (e.g., cores, memory controller, etc.) to execute operations, a power controller coupled to the processing entities to control power management for those entities, and multiple agents that each perform a power control flow (e.g., a power down flow) for one of the processing entities.
In one embodiment, the agents separately schedule, using a scheduler, and execute multiple power control flow phases in response to parallel requests from the power controller. The phases can be scheduled by the agent's scheduler for performance with the processing entity associated with the agent based on the scheduler of the agent and that processing entity. In one embodiment, the techniques described herein remove dependencies between different phases of a power down flow, which in turn removes the serial nature of the phases. Without the dependencies, a scheduler can schedule the phases to occur separately from the other phases. In one embodiment, the scheduler can also skip certain operations for a processing entity where such operations are not necessary for the power down flow.
In one embodiment, each agent comprises circuitry to perform a power down flow for its associated processing entity according to a plurality of finite state machines (FSMs). In one embodiment, the FSMs set forth operations to transition one of the processing entities into and out of a deep sleep state (e.g., C6 power state) and/or to enable one of the processing entities to undergo voltage and frequency scaling.
In one embodiment, each FSM specifies operations for one phase of the power down flow. Each agent accesses the FSMs and schedules the operations specified by each FSM in response to receiving the requests from the power controller. In one embodiment, a request to perform the operations of each FSM are sent from the power controller in parallel with requests to perform the other FSMs. After completing the power control flow, in one embodiment, each agent sends acknowledgements back to the power controller in parallel, where each acknowledgement is to acknowledge completion of one of the phases. In one embodiment, these acknowledgements are only sent by the agent upon completion of all the power control flow phases. Thus, the scheduler manages all pending request for power down flow and manage all the acknowledgements. The ability to communicate requests for phases in parallel (e.g., in one message) from the power controller and sending acknowledgements in parallel (e.g., in one message) by the agents hides the communication latency that is associated with performing the power control flow and reduces FSM stall between different phases. By removing most of communications associated with performing each of the phases defined by the FSMs, latency to complete all the phases can be reduced to half and even more.
In one embodiment, at least one of the plurality of agents sends at least one of the acknowledgements (with the other acknowledgements) indicating completion of one or more of the plurality of phases that were not performed for its associated processing entity because those phases were not relevant to the processing entity.
In prior implementations in which a single FSM included all the phases, the PCU would communication with the processing entity a request to perform one phase at a time and would wait to receive the acknowledgement that the phase was completed before sending the request for the next phase to be performed. This meant that the processing entity had to wait to get the next request while the PCU processed the acknowledgement for the previous phase. Furthermore, once the single FSM was started, all the phases had to be completed, and there was no way into which phases could be overlapped with each other and phases, or parts thereof, could be skipped. Moreover, in one embodiment, a request to perform a phase can be sent multiple times. This means that different phases could be overlapped in their execution.
In one embodiment, the techniques described herein reduce latencies of DVFS and C6 enter/exit power flow. The communication itself for some implementations would consume ˜4 usec. By reducing the communication to one message with parallel requests to perform the phases of the power down flow and one message with parallel acknowledgements that the requests have been completed, this communication latency is reduced from ˜4 usec to 2 usec. This translates into a 15% performance improvement. In server cases, the communication latencies is much higher and gain much bigger. The reduced latency associated with the use of these techniques allows the power flow to be executed more frequently due to reduced cost, which in the end brings lower power and better performance for devices incorporating these techniques.
Note that in another embodiment the requests to perform the power flow control phase are sent to a power management agent serially. In such a case, the power management agent may wait to receive all of the requests before scheduling operations. In another embodiment, the power management agent schedules operations as the phase requests are received. In yet another embodiment, the power management agent sends the acknowledgements serially.
In addition to cores 1410a-1410n, additional processing engines are optionally present within the processor, such as those described above, including, but not limited to, at least one graphics unit (not shown for ease of illustration) which may include one or more graphics processing units (GPUs) to perform graphics processing as well as to possibly execute general purpose operations on the graphics processor. In addition, at least one image signal processor (not shown for ease of illustration) may be present to process incoming image data received from one or more capture devices, either internal to the process or off-chip. All of these various processing units, including cores 1410a-1410n, and any graphics unit and image signal processor couple to interconnect 1415.
The various cores may be coupled via an interconnect 1415 to an uncore 1420 that includes various components. Interconnect 1415 may comprise, but is not limited to, a fabric, a ring architecture, point-to-point interconnect, etc. Interconnect 1415 may act as a cache coherent on-die interconnect that in turn couples to an integrated memory controller 1440 in uncore 1420. In turn, memory controller 1440 controls communications with a system memory 1460, such as, for example, a dynamic random access memory (DRAM).
In one embodiment, uncore 1420 includes components that perform functions of the processor that are not in the core. These may include, but are not limited to, memory access functions, input/output (I/O) functions, and/or clocking functions. In one embodiment, these functions are closely connected with the core. In one embodiment, uncore 1420 comprises a system agent to perform one or more of these operations.
In one embodiment, uncore 1420 includes various interfaces 1450 and a power control unit (PCU) 1455, which controls power consumption of components in the processor including, but not limited to, cores 1410a-1410n, memory controller 1440. In one embodiment, PCU 1455 makes decisions on which power management states (e.g., microprocessor performance (P) states, microprocessor throttle (T) states, microprocessor and package idle (C) states, system sleep (S) states, etc.) to enter. In one embodiment, PCU 1455 includes dynamic voltage and frequency scaling (DVFS) control logic 1459 in accordance with an embodiment. In one embodiment, DVFS control logic 1459 is configured to enable independent V/F control of multiple domains of the core 1410a-1410n and/or portions of uncore 1420 (e.g., memory controller 1440). This may be based on activity information, configuration information, environmental information, and heuristics. In one embodiment, this is based on inputs on temperature, current, power and operating system (OS) states.
In one embodiment, processor 1400 communicates with a system memory 1460, e.g., via a memory bus. In addition, using interfaces 1450, a connection can be made to various off-chip components such as, for example, peripheral devices, mass storage and so forth. While shown with this particular implementation in the embodiment of
As further shown, each core 1410 includes a clock interface 1405, which may be implemented as a bubble generator first-in first-out (BGF) clock crossing buffer to enable interconnection to a interconnect 1415. Each core also includes core memory. In one embodiment, core memory 1406 is located outside of each core. An example of such a memory is shown as shared cache memory 1430 (e.g., static random access memory (SRAM), Last Level Cache (LLC), etc.). In another embodiment, the core memory is part of the core itself, such as core memories 1406A-N (e.g., static random access memory (SRAM), Last Level Cache (LLC), etc.). In one embodiment, core memory 1406 is powered using the same power rail that supplies power to a rest of its core. However, in one embodiment, when entering and during one or more reduced power consumption states (e.g., C6), a switch couples core memory 1406 to another power rail. Such a power rail may be a lower voltage power rail.
Each core 1410a-1410n and other processing unit (e.g., memory controller) is coupled to receive a clock signal from a clock generator (e.g., phase locked loop (PLL)). In one embodiment, the clock generator may be part of the core. In another embodiment, the clock generator is part of uncore 1420. While operating in one or more reduced power consumption states (e.g., C-state C6), the clock signal from the clock generator is gated and/or the clock generator is disabled. In one embodiment, this is controlled by an agent of the core.
Referring back to
In one embodiment, the power management agents perform the power down flow for each of their respective component. For example, the agents for the cores perform the core power down flow. In one embodiment, this is accomplished by providing each of agents with circuitry to perform operations associated with a plurality of finite state machines (FSMs), one for each phase of the power down flow, and a scheduler that controls the performance of each of the phases in response to requests to have the phases performed received from the PCU. The operations of the FSMs are stored in an agent memory that might be part of and/or accessible by the agent. In one embodiment, the operations of the FSMs are implemented in firmware that is used by the agent to perform the operations.
In one embodiment, the power down flow is divided into five phases, with a FSM for each phase. By performing all five phases, the power down flow is completed. In one embodiment, the PCU sends the requests for the multiple phases to an agent in parallel that indicate that the PCU wants to agent to perform the power down flow for its associated core (or component). In the case where the power down flow is divided into five phases, the PCU sends five requests in parallel to the agent.
In one embodiment, the agents are part of the component (e.g., core) itself. In another embodiment, the agents are part of uncore 1420 or another area outside of their respective component.
Note that by dividing the power down flow into multiple separate phases, and their corresponding FSMs, any dependencies between the FSMs can be removed and the operations for each FSM can be scheduled independently of the other FSMs.
Referring to
Referring to
Once the interconnect interface has been stopped, processing logic shut down the clock interface (processing block 1903). In one embodiment, the clock interface is implemented as a bubble generator first in first out (BGF) clock crossing buffer to enable interconnection between domains of different voltage and frequency, and it is shut down.
In one embodiment, once these operations have been completed, the agent for the core sends an acknowledgement that this phase has been completed. In one embodiment, this acknowledgement is sent in parallel with the acknowledgements that the other phases have been completed.
Referring to
In one embodiment, once these operations have been completed, the agent for the core sends an acknowledgement that this phase has been completed. In one embodiment, this acknowledgement is sent in parallel with the acknowledgements that the other phases have been completed.
Note that at this point the core is in an appropriate state to enable DVFS to cause a voltage and/or frequency transition for the core while the core is at a safe point. Therefore, at this point, the frequency and voltage may be updated, and this may be performed by one or more other FSMs.
Referring to
In one embodiment, once these operations have been completed, the agent for the core sends an acknowledgement that this phase has been completed. In one embodiment, this acknowledgement is sent in parallel with the acknowledgements that the other phases have been completed.
In one embodiment, if exiting other than the C-state C6, processing blocks 2014 and 2015 are skipped once the core voltage is brought up to the specified level and the PLL is ready, the phase is completed. For example, if performing a dynamic voltage and frequency scaling operation, the operations of sending an indication (e.g., a pwrgood signal) that the core has power and switching the memory array (e.g., an SRAM, LLC, etc.) to different a power rail other than the core's power rail are not performed, and after the PLL is ready, the phase is done.
Referring to
In one embodiment, once these operations have been completed, the agent for the core sends an acknowledgement that this phase has been completed. In one embodiment, this acknowledgement is sent in parallel with the acknowledgements that the other phases have been completed.
In one embodiment, the agent includes a scheduler that schedules the phases of the power control flow. In the case of the five phases depicted by the five FSMs described above, the scheduler schedules the operations of the five phases. In one embodiment, this is done in response to requests from the PCU to perform the plurality of phases of the power control flow. After the phases have been completed, the agents sends acknowledgements indicating the plurality of phases have been completed. In one embodiment, the acknowledgements are sent together in parallel only after all of the plurality of phases have been completed. This may be accomplished by sending the acknowledgements in the same message.
Note that in one embodiment, all the phases may not be relevant to a particular component. In such cases, the agent only performs the relevant phases. However, the agent still sends acknowledgements indicating completion of all the phases even though some were not performed. For example, when an agent for the memory controller is requested by the PCU to perform the five stages (e.g., the five FSMs), there is no need to stop and drain the core. Therefore, this stage can be skipped by the memory controller's agent. Even so, when the other four stages have been performed, the agent for the memory controller sends all five acknowledgements to the PCU.
There are a number of example embodiments described herein.
Example 1 is an integrated circuit that includes a plurality of processing entities to execute operations, a power controller coupled to the plurality of processing entities to control power management for the plurality of processing entities, and a plurality of agents, where each of the plurality of agents is operable to perform a power control flow for one of the processing entities by separately scheduling, using a scheduler, and executing a plurality of power control flow phases in response to the power controller requesting the plurality of power control flow phases be performed, and each agent is operable to send a plurality of acknowledgements, one acknowledgement for each phase, upon completion of the plurality of power control flow phases.
Example 2 is the integrated circuit of example 1 that may optionally include that the plurality of processing entities comprises at least one core.
Example 3 is the integrated circuit of example 1 that may optionally include that the plurality of processing entities comprises a memory controller.
Example 4 is the integrated circuit of example 1 that may optionally include that each of the plurality of agents is operable to send acknowledgements in parallel indicating phases of plurality of power control flow phases have been completed only after all of the plurality of power control flow phases have been completed.
Example 5 is the integrated circuit of example 1 that may optionally include that at least one of the plurality of agents is operable to send at least one of the acknowledgements indicating completion of one or more of the plurality of phases that were not performed for its associated processing entity due to the one or more phases not being relevant to the processing entity.
Example 6 is the integrated circuit of example 1 that may optionally include that each agent comprises circuitry to perform the power control flow for its associated processing entity according to a plurality of finite state machines (FSMs), and each of the FSMs is operable to specify operations for one phase of the power control flow, and further wherein each agent accesses the FSMs and schedules the operations specified by the FSMs in response to receiving the plurality of requests from the PCU.
Example 7 is the integrated circuit of example 6 that may optionally include that the plurality of FSMs set forth operations to transition one of the processing entities into and out of a C6 power state.
Example 8 is the integrated circuit of example 6 that may optionally include that the plurality of FSMs set forth operations to enable one of the processing entities to undergo voltage and frequency scaling.
Example 9 is the integrated circuit of example 6 that may optionally include that the plurality of FSMs comprises: a first FSM to specify operations associated with placing the core in a quiesced state; a second FSM to specify operations associated with blocking one or more interfaces to the core; a third FSM to specify operations associated with stopping core clocking; a fourth FSM to specify operations associated with exiting a reduced power consumption state in which the core resides; and a fifth FSM to specify operations associated with causing the core to resume executing instructions.
Example 10 is the integrated circuit of example 1 that may optionally include that each of the plurality of agents is operable to perform the power control flow in response to a plurality of requests sent within a single message, each request of the plurality of requests for requesting performance of one of the plurality of power control flow phases.
Example 11 is a processor that includes a plurality of cores to execute operations and a memory controller, a power controller coupled to the plurality of processing entities to control power management for the plurality of processing entities; and a plurality of agents, each of the plurality of agents to perform power control flow for one of the plurality of cores and memory controller, where each agent comprises a scheduler operable to separately schedule a plurality of power control flow phases in response to requesting from the power controller to perform the power control flow phases, and circuitry to perform a plurality of finite state machines (FSMs) that specify operations for the power control flow for its associated processing entity, each of the plurality of FSMs to specify operations for one phase of the power control flow, and further wherein each agent is operable to access the FSMs and use the scheduler to schedule operations specified by the FSMs in response to the requesting from the power controller, and each agent is operable to send a plurality of acknowledgements, one acknowledgement for each phase, upon completion of the plurality of power control flow phases.
Example 12 is the processor of example 11 that may optionally include that each of the plurality of agents is operable to send acknowledgements in parallel indicating phases of plurality of power control flow phases have been completed only after all of the plurality of power control flow phases have been completed.
Example 13 is the processor of example 11 that may optionally include that at least one of the plurality of agents is operable to send at least one of the acknowledgements indicating completion of one or more of the plurality of phases that were not performed for its associated processing entity due to the one or more phases not being relevant to the processing entity.
Example 14 is the processor of example 11 that may optionally include that the plurality of FSMs set forth operations to transition one of the processing entities into and out of a C6 power state and to undergo voltage and frequency scaling.
Example 15 is a system that includes an interconnect; a dynamic random access memory (DRAM) coupled to the interconnect; and a processor coupled the interconnect, wherein the processor includes a plurality of processing entities to execute operations, a power controller coupled to the plurality of processing entities to control power management for the plurality of processing entities, and a plurality of agents, each of the plurality of agents to perform power control flow for one of the processing entities by separately scheduling, using a scheduler, and executing a plurality of power control flow phases in response to the power controller requesting the plurality of power control flow phases be performed, where each agent is operable to send a plurality of acknowledgements, one acknowledgement in each phase, upon completion of the plurality of power control flow phases.
Example 16 is the system of example 15 that may optionally include that the plurality of processing entities comprises at least one core.
Example 17 is the system of example 15 that may optionally include that the plurality of processing entities comprises a memory controller.
Example 18 is the system of example 15 that may optionally include that each of the plurality of agents is operable to send acknowledgements indicating phases of plurality of power control flow phases have been completed only after all of the plurality of power control flow phases have been completed.
Example 19 is the system of example 15 that may optionally include that at least one of the plurality of agents is operable to send at least one of the acknowledgements indicating completion of one or more of the plurality of phases that were not performed for its associated processing entity due to the one or more phases not being relevant to the processing entity.
Example 20 is the system of example 15 that may optionally include that each agent comprises circuitry to perform the power control flow for its associated processing entity according to a plurality of finite state machines (FSMs), each of the FSMs to specify operations for one phase of the power control flow, and further wherein each agent accesses the FSMs and schedules the operations specified by the FSMs in response to receiving the plurality of requests from the power controller.
Example 21 is the system of example 15 that may optionally include that the plurality of FSMs comprises: a first FSM to specify operations associated with placing the core in a quiesced state; a second FSM to specify operations associated with blocking one or more interfaces to the core; a third FSM to specify operations associated with stopping core clocking; a fourth FSM to specify operations associated with exiting a reduced power consumption state in which the core resides; and a fifth FSM to specify operations associated with causing the core to resume executing instructions.
Example 22 is a method that includes a power controller requesting performance of a power control flow with respect to a core of a processor; performing the power control flow for the core, including separately scheduling a plurality of power control flow phases in response to the power controller requesting the plurality of power control flow phases be performed, and performing operations for each of the power control flow phases according to a finite state machine (FSM) associated with the phase, including accessing a plurality of FSMs operable to specify operations for the power control flow for the core, each of the plurality of FSMs to specify operations for one phase of the power control flow, and sending a plurality of acknowledgements, one acknowledgement for each phase, upon completion of the plurality of power control flow phases.
Example 23 is the method of example 22 that may optionally include sending a plurality of acknowledgements comprises sending acknowledgements in parallel indicating phases of plurality of power control flow phases have been completed only after all of the plurality of power control flow phases have been completed.
Example 24 is the method of example 22 that may optionally include sending a plurality of acknowledgements in parallel comprises indicating completion of one or more of the plurality of phases that were not performed for its associated processing entity due to the one or more phases not being relevant to the processing entity.
Example 25 is the method of example 22 that may optionally include that the plurality of FSMs set forth operations to transition one of the processing entities into and out of a C6 power state and to undergo voltage and frequency scaling.
Example 26 is the method of example 22 that may optionally include that the plurality of requests are sent in one message.
Example 27 is a machine-readable medium having stored thereon an instruction, which if performed by a machine causes the machine to perform a method that includes a power controller requesting performance of a power control flow with respect to a core of a processor; performing the power control flow for the core, including separately scheduling a plurality of power control flow phases in response to the power controller requesting the plurality of power control flow phases be performed, and performing operations for each of the power control flow phases according to a finite state machine (FSM) associated with the phase, including accessing a plurality of FSMs operable to specify operations for the power control flow for the core, each of the plurality of FSMs to specify operations for one phase of the power control flow, and sending a plurality of acknowledgements in parallel, one acknowledgement for each phase, upon completion of the plurality of power control flow phases.
Example 28 is the machine-readable medium of example 27 that may optionally include that the method includes sending a plurality of acknowledgements in parallel comprises sending acknowledgements indicating phases of plurality of power control flow phases have been completed only after all of the plurality of power control flow phases have been completed.
Example 29 is the machine-readable medium of example 27 that may optionally include that the method includes sending a plurality of acknowledgements in parallel comprises indicating completion of one or more of the plurality of phases that were not performed for its associated processing entity due to the one or more phases not being relevant to the processing entity.
Example 30 is a processor or other apparatus operative to perform the method of any one of examples 22 to 26.
Example 31 is a processor or other apparatus that includes means for performing the method of any one of examples 22 to 26.
Example 32 is a processor or other apparatus substantially as described herein.
Example 33 is a processor or other apparatus that is operative to perform any method substantially as described herein.
Example 34 is a processor or other apparatus that is operative to perform any instructions/operations substantially as described herein.
Embodiments of the mechanisms disclosed herein may be implemented in hardware, software, firmware, or a combination of such implementation approaches. Embodiments of the invention may be implemented as computer programs or program code executing on programmable systems comprising at least one processor, a storage system (including volatile and non-volatile memory and/or storage elements), at least one input device, and at least one output device.
Program code may be applied to input instructions to perform the functions described herein and generate output information. The output information may be applied to one or more output devices, in known fashion. For purposes of this application, a processing system includes any system that has a processor, such as, for example; a digital signal processor (DSP), a microcontroller, an application specific integrated circuit (ASIC), or a microprocessor.
The program code may be implemented in a high level procedural or object oriented programming language to communicate with a processing system. The program code may also be implemented in assembly or machine language, if desired. In fact, the mechanisms described herein are not limited in scope to any particular programming language. In any case, the language may be a compiled or interpreted language.
One or more aspects of at least one embodiment may be implemented by representative instructions stored on a machine-readable medium which represents various logic within the processor, which when read by a machine causes the machine to fabricate logic to perform the techniques described herein. Such representations, known as “IP cores” may be stored on a tangible, machine readable medium and supplied to various customers or manufacturing facilities to load into the fabrication machines that actually make the logic or processor.
Such machine-readable storage media may include, without limitation, non-transitory, tangible arrangements of articles manufactured or formed by a machine or device, including storage media such as hard disks, any other type of disk including floppy disks, optical disks, compact disk read-only memories (CD-ROMs), compact disk rewritable's (CD-RWs), and magneto-optical disks, semiconductor devices such as read-only memories (ROMs), random access memories (RAMs) such as dynamic random access memories (DRAMs), static random access memories (SRAMs), erasable programmable read-only memories (EPROMs), flash memories, electrically erasable programmable read-only memories (EEPROMs), magnetic or optical cards, or any other type of media suitable for storing electronic instructions.
Accordingly, embodiments of the invention also include non-transitory, tangible machine-readable media containing instructions or containing design data, such as Hardware Description Language (HDL), which defines structures, circuits, apparatuses, processors and/or system features described herein. Such embodiments may also be referred to as program products.
In some cases, an instruction converter may be used to convert an instruction from a source instruction set to a target instruction set. For example, the instruction converter may translate (e.g., using static binary translation, dynamic binary translation including dynamic compilation), morph, emulate, or otherwise convert an instruction to one or more other instructions to be processed by the core. The instruction converter may be implemented in software, hardware, firmware, or a combination thereof. The instruction converter may be on processor, off processor, or part on and part off processor.
Thus, techniques for performing one or more instructions according to at least one embodiment are disclosed. While certain exemplary embodiments have been described and shown in the accompanying drawings, it is to be understood that such embodiments are merely illustrative of and not restrictive on the broad invention, and that this invention not be limited to the specific constructions and arrangements shown and described, since various other modifications may occur to those ordinarily skilled in the art upon studying this disclosure. In an area of technology such as this, where growth is fast and further advancements are not easily foreseen, the disclosed embodiments may be readily modifiable in arrangement and detail as facilitated by enabling technological advancements without departing from the principles of the present disclosure or the scope of the accompanying claims.
