This application is related to U.S. patent application Ser. No. 17/588,315, filed Jan. 30, 2011, and entitled “Microprocessor with Time Counter for Statically Dispatching Instructions,” which application is hereby incorporated by reference in its entirety.
The present invention relates to the field of computer processors and more particularly to issuance and execution of instructions in computer processors.
Processors have become increasingly complex chasing small increments in performance at the expense of power consumption and semiconductor chip area. The approach in out-of-order (OOO) superscalar microprocessors has remained basically the same for the last 25-30 years, with much of the power dissipation arising from the dynamic scheduling of instructions for execution from the reservation stations or central windows. Designing an OOO superscalar microprocessor is a huge undertaking. Hundreds of instructions are issued to the execution pipeline where the data dependencies are resolved and arbitrated for execution by a large number of functional units. The result data from the functional units are again arbitrated for the write buses to write back to the register file. If the data cannot be written back to the register file, then the result data are kept in temporary registers and a complicated stalling procedure is performed for the execution pipeline.
The memory subsystem is important in computing platforms and crucial in performance of a microprocessor. The memory data is not always in the data cache but in external memory and this is particularly true for artificial intelligence and machine learning applications. Accessing memory data is performed through the load and store instructions in a computer architecture. With dynamic scheduling in a traditional microprocessor, the determination of the location of memory data is performed by way of the address calculation and access of the memory management unit. For load instructions, if the data is not in the cache, then the subsequent dependent instructions can be speculatively executed and replayed. These operations can increase throughput. A side effect of speculative and replay operations is increased power consumption. In addition to a cache miss as described above, certain data may not be in the cache due to its being stored in non-cacheable memory.
There is a need for a superscalar microprocessor, which may or may not support out of order execution, which consumes less power, has a simpler design, efficiently executes load instructions, and is scalable with consistently high performance.
Most computer architectures employ two types of load instructions: a load with cacheable data and a load with non-cacheable data. The non-cacheable data is stored in external memory which includes input/output devices, close-couple memory, or specialized memories. The cacheable data can be stored in data caches which include level-1 (L2) data cache and possibly other levels of caches (level-2 (L2), etc.) external to the main microprocessor chip. The determination of the load data types is part of the memory address calculation and accessing of the memory management unit. The memory management unit may consist of the physical memory attribute (PMA) and physical memory protection (PMP) logic which specifies the memory address ranges for different memory types. In general, all load instructions assume the latency time of an L1 data cache hit which is correct about 80-90% of the time.
In certain disclosed embodiments, if the cacheable load data is not in the L1 data cache, then the load instructions are replayed with an L2 cache latency time, if an L2 cache exists. The non-cacheable load instructions are also replayed with various external fetch latency types depending on non-cacheable memory types. Fetching of non-cacheable memory data may be known from past load latency times or programmable fixed latencies. In a disclosed embodiment, a non-cacheable prediction is used to predict the latency time for a load instruction to avoid replay of load instructions and the subsequent dependent instructions on the non-cacheable load instruction.
In another embodiment, the non-cacheable predictor contains the load physical address of the non-cacheable loads. The non-cacheable fetch time is much longer than the data cache hit time. The load physical address is used to start an external memory data fetch ahead of time which is referred to as a non-cacheable load prefetch. The non-cacheable load prefetch is selective based on past history of any data dependency on non-cacheable stores.
The foregoing may be employed in multiple processor organizations but provides a particular benefit in a processor with a time counter and a method for statically dispatching instructions to an execution pipeline with preset execution times based on a time count from the counter. Such a processor employs static scheduling of instructions. A static scheduling algorithm is based on the assumption that a new instruction has a perfect view of all previous instructions in the execution pipeline, and thus it can be scheduled for execution at an exact time in the future, e.g., with reference to a time count from a counter. Assuming an instruction has 2 source operands and 1 destination operand, the instruction can be executed out-of-order when conditions are met of (1) no data dependency, (2) availability of read buses to read data from the register file, (3) availability of a functional unit to execute the instruction, and (4) availability of a write bus to write result data back to the register file.
Aspects of the present invention are best understood from the following description when read with the accompanying figures.
The following description provides different embodiments for implementing aspects of the present invention. Specific examples of components and arrangements are described below to simplify the explanation. These are merely examples and are not intended to be limiting. For example, the description of a first component coupled to a second component includes embodiments in which the two components are directly connected, as well as embodiments in which an additional component is disposed between the first and second components. In addition, the present disclosure repeats reference numerals in various examples. This repetition is for the purpose of clarity and does not in itself require an identical relationship between the embodiments.
In one embodiment a processor is provided, typically implemented as a microprocessor, that schedules instructions to be executed at a preset time based on a time count from a time counter. In such a microprocessor the instructions are scheduled to be executed using the known throughput and latency of each instruction to be executed. For example, in one embodiment, the ALU instructions have throughput and latency times of 1, the multiply instructions have throughput time of 1 and the latency time of 2, the load instructions have the throughput time of 1 and latency time of 3 (based on a data cache hit), and the divide instruction have throughput and latency times of 32.
According to an embodiment the microprocessor 10 also includes a time counter unit 90 which stores a time count incremented, in one embodiment, every clock cycle. The time counter unit 90 is coupled to the clock unit 15 and uses “elk” signal to increment the time count.
In one embodiment the time count represents the time in clock cycles when an instruction in the instruction issue unit 55 is scheduled for execution. For example, if the current time count is 5 and an instruction is scheduled to be executed in 22 cycles, then the instruction is sent to the execution queue 70 with the execution time count of 27. When the time count increments to 26, the execution queue 70 issues the instruction to the functional unit 75 for execution in next cycle (time count 27). The time counter unit 90 is coupled to the register scoreboard 40, the time-resource matrix 50, the read control 62, the write control 64, and the plurality of execution queues 70. The scoreboard 40 resolves data dependencies in the instructions. The time-resource matrix 50 checks availability of the various resources which in one embodiment include the read buses 66, the functional units 75, the load-store unit 80, and the write buses 68. The read control unit 62, the write control unit 64, and the execution queues 70 receive the scheduled times from the instruction issue unit 55. The read control unit 62 is set to read the source operands from the register file 60 on specific read buses 66 at a preset time. The write control unit 64 writes the result data from a functional unit 75 or the load-store unit 80 or the data cache 85 to the register file 60 on a specific write bus 68 at a preset time. The execution queue 70 is set to dispatch an instruction to a functional unit 75 or the load-store unit 80 at a preset time. In each case, the preset time is the time setup by the decode/issue unit. The preset time is a future time based on the time count, so when the time count counts up to the preset time, then the specified action will happen, where the specified action is reading data from the register fie, writing data to the register file, or issuing one or more instruction(s) to a functional unit for execution. The decode/issue unit 30 determines that the instruction is free of data dependency and the resource is available to set the “preset time” for the instruction to be executed in the execution pipeline.
In the microprocessor system 10 the instruction fetch unit 20 fetches the next instruction(s) from the instruction cache 24 to send to the instruction decode unit 30. One or more instructions can be fetched per clock cycle from the instruction fetch unit 20 depending on the configuration of microprocessor 10. For higher performance, microprocessor 10 fetches more instructions per clock cycle for the instruction decode unit 30. At the same time, the instruction addresses which are referred to as program counters (PC) of the instructions are sent to the non-cacheable predictor 35 to fetch the non-cacheable time for load instructions. (Determination of the non-cacheable latency time is discussed below.) For low-power and embedded applications, microprocessor 10 might fetch only a single instruction per clock cycle for the instruction decode unit 30. If the instructions are not in the instruction cache 24 (commonly referred to as an instruction cache miss), then the instruction fetch unit 20 sends a request to external memory (not shown) to fetch the required instructions. The external memory may consist of hierarchical memory subsystems, for example, an L2 cache, an L3 cache, read-only memory (ROM), dynamic random-access memory (DRAM), flash memory, or a disk drive. The external memory is accessible by both the instruction cache 24 and the data cache 85. The instruction fetch unit 20 is also coupled to the branch prediction unit 22 for prediction of the next instruction address when the branch is detected and predicted by the branch prediction unit 22. The branch prediction unit 22 includes a branch target buffer (BTB) 26 that stores a plurality of the entry-point addresses, branch types, offsets to exit-point addresses, and the target addresses of the basic blocks which will be discussed in detail later. The instruction fetch unit 20, the instruction cache 24, and the branch prediction unit 22 are described here for completeness of a microprocessor 10. In other embodiments, other instruction fetch and branch prediction methods can be used to supply instructions to the instruction decode unit 30 for microprocessor 10.
The instruction decode unit 30 is coupled to the instruction fetch unit 20 for new instructions and also coupled to the register scoreboard 40. The instruction decode unit 30 decodes the instructions for instruction type, instruction throughput and latency times, and the register operands. The register operands, as an example, may consist of 2 source operands and 1 destination operand. The operands are referenced to registers in the register file 60. The source and destination registers are used here to represent the source and destination operands of an instruction. In one embodiment, the source registers support solving read-after-write (RAW) data dependencies. If a later instruction has the same source register as the destination register of an earlier instruction, then the later instruction has RAW data dependency. The later instruction must wait for completion of the earlier instruction before it can start execution. The register scoreboard 40 is used to keep track of the completion time of the destination registers of the earlier instructions. In the preferred embodiment the completion time is maintained in reference to the time count 90.
Two basic memory data types are cacheable and non-cacheable. The cacheable data can be loaded into the L1 data cache (faster load latency time and the default latency time for all load instructions) and in the hierarchical memory subsystem, which can include for example, an L2 cache, an L3 cache, read-only memory (ROM), dynamic random-access memory (DRAM), flash memory, and/or a disk drive. The non-cacheable load addresses are calculated and validated by the PMA and PMP and may be included in the data arrays 367 and 377 of the non-cacheable predictor 35. The non-cacheable data is data stored in certain input/output devices (not shown) or close-coupled memory (not shown) and specialized memory (not shown) outside of the microprocessor 10 that has been designated as being non-cacheable. The external memory may consist of hierarchical memory subsystems, for example, an L2 cache, an L3 cache, read-only memory (ROM), dynamic random-access memory (DRAM), flash memory, or a disk drive. The PMA and PMP may specify any memory region to be noncacheable. For the non-cacheable loads, the latency times for the non-cacheable memory can have fixed programmable times or be the latency times from past external memory fetch times. In an embodiment, a non-cacheable predictor is used to predict the latency times for non-cacheable load instructions to avoid replaying of load instructions and the subsequent dependent instructions.
The non-cacheable predictor 35 takes the form of a cache structure with a valid array 361, a tag address array 363, a data array 367, and comparator logic 365 for way 0 (described below). The cache arrays are duplicated with the valid array 371, the tag address array 373, the data array 377, and comparator logic 375 for way 1. As an example, the non-cacheable predictor 35 can include 2 sets of 16-entries each with 2-way associativity. The n-way associativity and number of entries are only for illustration purposes. The non-cacheable predictor can be implemented as direct map (1-way associative), or 4-way associative, or fully associative, or any associativity between direct map and fully associative. The direct-map implementation takes the form of a single cache array with 32-entries, the 4-way associative implementation takes the form of 4 sets of 8-entries, and the fully associative implementation takes the form of 32 sets of 1-entry.
The tag address array 363 has a plurality of entries where an entry is addressed by the index portion of the PC address 351 and the content is the tag address portion of the PC address 351. In an example shown by way of
When the non-cacheable load is executed for the first time in the load-store unit 80, the PC address of the load instruction, the load address and the latency time for fetching data from external devices are captured in the tag array 363 or 373, and the data array 367 or 377 of the non-cacheable predictor 35, respectively. The way is selected if it is invalid, by random replacement, or by a least-recently-used algorithm for writing a new entry. If the same load instruction is fetched again from the instruction fetch unit 20, then the PC address of the load instruction will match with the previously written entry in the non-cacheable predictor. The non-cacheable latency time from the multiplexor 353 is used as the latency time for the load instruction in the decode unit 30. The non-cacheable latency will be known in the same pipeline stage as the latency time of an instruction that is decoded by the decode unit 30. The non-cacheable latency time will override the decoded latency time of the load instruction. In another embodiment, the non-cacheable predictor 35 can be at an earlier pipeline stage, or be part of the instruction cache 24, or be part of the branch prediction unit 22.
In another embodiment, the latency time CSRs 355 are loaded with latency times as determined upon execution of the microprocessor 10. Instead, they are loaded with non-cacheable latency times captured from the latency time exhibited by each non-cacheable memory upon first time execution of the non-cacheable load instruction by the load-store unit 80.
In another embodiment, the data arrays 367 and 377 contain the load physical address in addition to the non-cacheable latency time. The load physical address is immediately used to access the external memory instead of waiting for the normal process of going through instruction issue unit 55, the execution queue 70, and the load-store unit 80. Early access of the non-cacheable load is referred to as prefetching of non-cacheable load. The non-cacheable loads are performed in-order and may be tracked by a re-order buffer (not shown) of the microprocessor 10. The speculative load address from the non-cacheable predictor 35 is validated by comparing to the calculated load address of the non-cacheable load in the load-store unit 80, and by being in the non-cacheable memory region of the PMA and PMP. The load latency time can be a limiting factor and can therefore be crucial in performance of the microprocessor 10. Prefetching of non-cacheable load data can therefore by quite important in the performance of the microprocessor 10. It should be noted that the non-cacheable load predictor 35 may provide prefetching for some but not all non-cacheable loads. The write time of the prefetching of a non-cacheable load instruction is calculated based on the non-cacheable load latency time of the arrays 367 or 377 and the time count 90 at the time of prefetching. The write time of the non-cacheable load remains the same through instruction issue unit 55, the execution queue 70, and the load-store unit 80.
In one embodiment, the branch prediction unit 22 is implemented with a basic-block algorithm. A basic block is defined as a straight-line code sequence with no branches in except to the entry, and no branches out except at the exit. An example is shown in
In another embodiment, as an alternative to the non-cacheable predictor 35, the non-cacheable prediction can be included in the branch target buffer 26 of the branch prediction unit 22. The non-cacheable load instruction within the basic block can be included in the entry of the branch target buffer 26. The offset from the entry point to the non-cacheable load instruction and the latency time or the selector to the latency time CSRs 355 are included in the entry of the branch target buffer 26.
In another embodiment, the non-cacheable predictor contains the load physical address of the non-cacheable loads. The non-cacheable fetch time is much longer than the data cache hit time. The load physical address is used to start external memory data fetch ahead of time which is referred to as non-cacheable load prefetch. The non-cacheable load prefetch is selective based on past history of any data dependency on non-cacheable stores.
Each of the units shown in the block diagram of
The integrated circuitry employed to implement the units shown in the block diagram of
In other embodiments, the units shown in the block diagrams of the various figures can be implemented as software representations, for example in a hardware description language (such as for example Verilog) that describes the functions performed by the units described herein at a Register Transfer Level (RTL) type description. The software representations can be implemented employing computer-executable instructions, such as those included in program modules and/or code segments, being executed in a computing system on a target real or virtual processor. Generally, program modules and code segments include routines, programs, libraries, objects, classes, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The program modules and/or code segments may be obtained from another computer system, such as via the Internet, by downloading the program modules from the other computer system for execution on one or more different computer systems. The functionality of the program modules and/or code segments may be combined or split between program modules/segments as desired in various embodiments. Computer-executable instructions for program modules and/or code segments may be executed within a local or distributed computing system. The computer-executable instructions, which may include data, instructions, and configuration parameters, may be provided via an article of manufacture including a non-transitory computer readable medium, which provides content that represents instructions that can be executed. A computer readable medium may also include a storage or database from which content can be downloaded. A computer readable medium may also include a device or product having content stored thereon at a time of sale or delivery. Thus, delivering a device with stored content, or offering content for download over a communication medium may be understood as providing an article of manufacture with such content described herein.
The aforementioned implementations of software executed on a general-purpose, or special purpose, computing system may take the form of a computer-implemented method for implementing a microprocessor, and also as a computer program product for implementing a microprocessor, where the computer program product is stored on a non-transitory computer readable storage medium and includes instructions for causing the computer system to execute a method. The aforementioned program modules and/or code segments may be executed on suitable computing system to perform the functions disclosed herein. Such a computing system will typically include one or more processing units, memory and non-transitory storage to execute computer-executable instructions.
The write time of a destination register is the read time for the subsequent instruction with RAW data dependency on the same destination register. Referring back to
An instruction reads source operand data at read time, executes the instruction with a functional unit 75 at execute time, and writes the result data back to the register file 60 at write time. The write time is recorded in the write time field 46 of the register scoreboard 40. With 2 source registers, the instruction selects the later write time from the register scoreboard 40 as the read time for the instruction. The execute time is the read time plus 1 time count where the functional unit 75 or the load-store unit 80 starts executing the instruction. The write time of the instruction is the read time plus the instruction latency time. If the instruction latency time is 1 (e.g., an ALU instruction), then the write time and execution time of the instruction are the same.
Each instruction has an execution latency time. For example, the add instruction has a latency time of 1, the multiply instruction has a latency time of 2, and the load instruction has a latency time of 3 assuming a data cache hit. In another example, if the current time count is 5 and the source registers of an add instruction receive write time counts of 22 and 24 from the register scoreboard 40, then the read time count is set at 24. In this case, the execution and the write time counts are both 25 for the add instruction. As shown in
The read buses column 51 corresponds to the plurality of read buses 66 in
All available resources for the required times are read from the time-resource matrix 50 and sent to the instruction issue unit 55 for a decision of when to issue an instruction to the execution queue 70. If the resources are available at the required times, then the instruction can be scheduled and sent to the execution queue 70. The issued instruction updates the register scoreboard 40 with the write time and updates the time-resource matrix 50 to reduce the available resource values. All resources must be available at the required time counts for the instruction to be dispatched to the execution queue 70. If all resources are not available, then the required time counts are incremented by one, and the time-resource matrix is checked as soon as the same cycle or next cycle. The particular number of read buses 66, write buses 68, and functional units 75 in
In the example illustrated in
Note that the destination register can be but does not need to be kept with the instruction. The write control unit 64 is responsible for directing the result data from a functional unit 75 to a write bus 68 to write to the register file 60. The execution queues 70 are only responsible for sending instructions to the functional units 75 or the load-store unit 80. The read time field 77 which has the read time of the instruction is synchronized with the read control unit 62. When the read time 77 is the same as the time count 90 as detected by the comparators 78, the instruction is issued to the functional units 75 or the load/store unit 80. For the example in
In an embodiment, each functional unit 75 has its own execution queue 70. In another embodiment, an execution queue 70 dispatches instructions to multiple functional units 75. In this case, another field (not shown) can be added to the execution queue 70 to indicate the functional unit number for dispatching of instructions.
Referring back to
The foregoing explanation described features of several embodiments so that those skilled in the art may better understand the scope of the invention. Those skilled in the art will appreciate that they may readily use the present disclosure as a basis for designing or modifying other processes and structures for carrying out the same purposes and/or achieving the same advantages of the embodiments herein. Such equivalent constructions do not depart from the spirit and scope of the present disclosure. Numerous changes, substitutions and alterations may be made without departing from the spirit and scope of the present invention.
Although illustrative embodiments of the invention have been described in detail with reference to the accompanying drawings, it is to be understood that the invention is not limited to those precise embodiments, and that various changes and modifications can be affected therein by one skilled in the art without departing from the scope of the invention as defined by the appended claims.
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