This disclosure relates generally to computer processors and more particularly to control circuitry for routing of data in processors.
Data processing circuitry may include data networks in which data is passed through multiple cascaded stages. For example, many processors execute instructions using single instruction, multiple data (SIMD) or single instruction, multiple thread (SIMT) architectures, in which a given operation is specified for a set of multiple threads that perform the operation on potentially different data. Processing of a large array or image may involve use of a forwarding network selecting different operands in turn. Such networks often involve cascaded multiplexers, each multiplexer receiving multiple inputs and selecting one of the inputs to forward to the next stage.
As mentioned above, many processors include datapaths with cascaded multiplexers. These networks can start with many inputs, with each input being a multibit signal. This multitude of input connections provides opportunities for data fluctuations, or “toggling” of lines that are not at that time connected through the datapath in a way allowing the data on the line to be actually used. Even if such an unused signal at an input doesn't make it through the entire datapath to the execution circuitry, propagation of an unused signal through even a part of the datapath causes gates within the datapath multiplexers to switch, wasting dynamic power.
One way of preventing extraneous data changes from propagating through a datapath is to “data gate” multiplexers along the path by, for example, setting the multiplexer control inputs to a reset value, which may include a value to select a known “quiet leg,” when a given multiplexer is not being used to pass valid data. Changing the multiplexer control inputs in this way, as compared to the previous input settings, causes gates to switch in itself, however, consuming dynamic power. Suppression of extraneous input toggling can therefore waste dynamic power if done in situations where such toggling is not actually occurring. This excess dynamic power consumption can be significant in large forwarding networks carrying multibit values such as those used in SIMD processors.
The present disclosure describes techniques for implementing a “smarter” toggle suppression. Embodiments of a multiplexer control circuit as disclosed herein make a determination of whether to maintain a multiplexer's previous select signals or provide updated select signals. In an embodiment this determination includes determining whether a data value change at a data input of the multiplexer being controlled is likely to appear at the multiplexer's output. This may also be referred to as a determination of whether a data toggle will be “visible” at the output of the multiplexer. In a case for which valid data is not being sent through the multiplexer, if such an “output toggle” is likely, updated multiplexer select signals set to zero or some other “reset” value that will prevent propagation of the invalid toggle are provided. If no data toggle at the output is likely, the select signals are left alone unless valid data is being transmitted through the multiplexer. In this way, unnecessary dynamic power consumption is avoided. Embodiments of multiplexer control circuits as disclosed herein are illustrated in, for example,
In an embodiment, multiplexer control circuits as disclosed herein are interconnected to form a control-side network that approximates the datapath-side network between the multiplexers being controlled. An example of such an interconnection is illustrated in, for example,
In an embodiment, the determination by a given multiplexer control circuit of whether the multiplexer output is likely to exhibit a data value change includes a determination of whether an input toggle likelihood signal corresponding to a previously-selected data input of the multiplexer indicates that the previously-selected data input is likely to receive a data value change. The “reset” value of select signals to prevent transmission through the multiplexer could include, for example, 0 values for all inputs of an AND-OR-invert (AOI) multiplexer using one-hot control. As another example, the reset value could be a value configured to select a particular input that is known to be “quiet,” or stable to unintended data changes.
In an embodiment, input toggle likelihood signals internal to a datapath are initially set based on the multiplexer selection sequence being implemented by instructions using the datapath. A particular sequence of multiplexer settings may be implemented to successively apply different operands to an execution circuit, for example, and a given input toggle likelihood signal for a multiplexer may reflect whether the corresponding input is carrying an operand being used during a given execution cycle. In an embodiment, an input toggle likelihood signal may reflect whether a new value is provided to an input or the input is otherwise updated. Input toggle likelihood signals may also be assigned values, such as for input toggle likelihood signals corresponding to inputs at the beginning of the multiplexed datapath or to inputs otherwise from outside of the datapath rather than from an output of an upstream multiplexer. In an embodiment, assigned values are based on known properties of particular data inputs in terms of likelihood to experience data value changes. In other embodiments, input toggle likelihood signals not supplied by an output toggle likelihood value of an upstream multiplexer control circuit may be set to a default value.
Control circuit 104 uses previous select signals 110 and input toggle likelihood signals 112 to generate an update control signal 114. In a cycle for which no valid data is being transmitted through the multiplexer being controlled, update control signal 114 determines whether to maintain the previous select signals as multiplexer select signals 108 or bring reset signals 116 into storage circuit 102 for transmission to the multiplexer as new multiplexer select signals 108. As the new select signals, the reset signals would become previous select signals 110 for the next cycle.
The elements shown in
In
Each of multiplexer control circuits 302A, 302B and 302C is configured to receive a corresponding set of toggle likelihood signals 312A, 312B or 312C, and to generate a corresponding output toggle likelihood signal 314A, 314B or 314C. In an embodiment, input toggle likelihood signals 312 are be set to reflect a multiplexer selection sequence being implemented by datapath control circuitry 306. For example, a particular input toggle likelihood signal may come from the output of a multiplexer control circuit controlling a multiplexer that is not being used to transmit data during a given cycle. Such an input toggle likelihood signal may be set to a value indicating the input is not likely to toggle (such as a “0” logical value, depending on the logic convention used). Input toggle likelihood signals coming from circuitry external to the datapath may in some embodiments be set based on known properties of circuits supplying the corresponding data signals. For some input toggle likelihood signals, a default value may be assigned. For example, an input may be assigned an input toggle likelihood indicating that the input is likely to toggle if there is not information available to indicate otherwise. In an embodiment, assignment of input likely toggle values is done “conservatively” in the sense that an input is considered likely to toggle if it is not certain that the input will not toggle. In such an embodiment, assigning an input as likely to toggle can be seen as designating the input as not guaranteed to be stable.
In addition to input toggle likelihood signals 312, each of multiplexer control circuits 302A, 302B and 302C is configured to receive a set of input select signals 308 and an observability indicator 309. In an embodiment, input select signals 308 are the multiplexer select signals provided by datapath control circuitry 306 for application to the corresponding datapath multiplexer 304A, 304B or 304C, in the absence of multiplexer control circuits 302A-302C. Observability indicator 309 is a signal indicating whether the output of the corresponding datapath multiplexer is “observed” further downstream in the datapath. This observability can be considered an indicator of whether the corresponding datapath multiplexer is passing valid data during a given cycle. In an embodiment, the observability indicator for the multiplexer corresponding to a given multiplexer control circuit is implemented using a select signal for the next downstream multiplexer. For example, if the select signals for the next downstream multiplexer are such that the output of the given multiplexer is not selected to be passed through the next downstream multiplexer, the given multiplexer is considered to be not observable. Other signals indicating whether a given multiplexer is being used to pass valid data may be used for the observability signal in other embodiments, depending on the particular design and configuration of datapath circuitry 320 and control circuitry 330. For example, observability indicator 309 may also be derived from input select signals 308 in some embodiments.
In an embodiment, each of multiplexer control circuits 302A-302C uses its corresponding input toggle likelihood signals 312, input select signals 308 and observability indicator 309 to generate its corresponding output toggle likelihood signal 314. Generation of output toggle likelihood signals 314 is described in more detail in connection with, for example,
As illustrated by
Toggle suppression circuit 406 is configured to receive input select signals 408, reset signals 410 and observability indicator 409 and to generate updated select signals 422 and transmission indicator signal 423. Input select signals 408 and observability indicator 409 are similar to input select signals 308 and observability indicator 309 of
Toggle likelihood circuit 404 is configured to receive input toggle likelihood signals 412, previous select signals 416 and transmission indicator signal 423 and to produce update control signal 424 and output toggle likelihood signal 414. Input toggle likelihood signals 412 are similar to input toggle likelihood signals 312 of
In an embodiment, storage circuit 402 is a flip-flop or other clocked storage device. Values corresponding to updated select signals 422 are stored in storage circuit 402 only if the circuit is updated, or clocked, using update control signal 424. Values stored in storage circuit 402 are provided to the controlled multiplexer as multiplexer select signals 418.
Continuing with the circuitry of
It is noted that some time delay is associated with logic for implementing selective toggle suppression such as that shown in
Method 600 further includes, in block 620, determining, based on the first set of previous select signals and the first set of input toggle likelihood signals, whether to maintain assertion of the first set of previous select signals or provide a first set of updated select signals to the multiplexer. In an embodiment, the first set of input toggle likelihood signals includes a particular input toggle signal corresponding to a previously selected data input of the multiplexer, where the previously selected data input is an input selected by application of the first set of previous select signals to the multiplexer. In a further embodiment, determining whether to maintain assertion of the first set of previous select signals or provide a set of updated select signals includes determining whether a value of the particular input toggle likelihood signal indicates a designation of the previously-selected data input as likely to receive a data value change. If the value of the particular input toggle likelihood signal does not indicate a designation of the previously-selected data input as likely to receive a data value change, method 600 may further include maintaining assertion of the first set of previous select signals to the multiplexer. If the value of the particular input toggle likelihood signal indicates a designation of the previously-selected data input as likely to receive a data value change, method 600 may further include providing, by the control circuit and as the first set of updated select signals, a set of reset select signals configured to prevent transmission through the multiplexer of the data value change.
In a further embodiment of method 600, determining whether to maintain assertion of the first set of previous select signals or provide a first set of updated select signals includes generating, using the first set of previous select signals and the first set of input toggle likelihood signals, a first output toggle likelihood signal. Method 600 may further include forwarding such a first output toggle likelihood signal to an additional control circuit for an additional multiplexer, wherein the first output toggle likelihood signal forms one of an additional set of input toggle likelihood signals received by the additional control circuit. In another embodiment, method 600 may also include receiving, for a second cycle, a second set of input select signals for the multiplexer, wherein the second set of input select signals is configured to pass data through the multiplexer, and providing the second set of input select signals to the multiplexer.
Method 700 of
Referring now to
Fabric 910 may include various interconnects, buses, MUX's, controllers, etc., and may be configured to facilitate communication between various elements of device 900. In some embodiments, portions of fabric 910 may be configured to implement various different communication protocols. In other embodiments, fabric 910 may implement a single communication protocol and elements coupled to fabric 910 may convert from the single communication protocol to other communication protocols internally.
In the illustrated embodiment, compute complex 920 includes bus interface unit (BIU) 925, cache 930, and cores 935 and 940. In various embodiments, compute complex 920 may include various numbers of processors, processor cores and caches. For example, compute complex 920 may include 1, 2, or 4 processor cores, or any other suitable number. In one embodiment, cache 930 is a set associative L2 cache. In some embodiments, cores 935 and 940 may include internal instruction and data caches. In some embodiments, a coherency unit (not shown) in fabric 910, cache 930, or elsewhere in device 900 may be configured to maintain coherency between various caches of device 900. BIU 925 may be configured to manage communication between compute complex 920 and other elements of device 900. Processor cores such as cores 935 and 940 may be configured to execute instructions of a particular instruction set architecture (ISA) which may include operating system instructions and user application instructions. These instructions may be stored in computer readable medium such as a memory coupled to memory controller 945 discussed below.
As used herein, the term “coupled to” may indicate one or more connections between elements, and a coupling may include intervening elements. For example, in
Cache/memory controller 945 may be configured to manage transfer of data between fabric 910 and one or more caches and memories. For example, cache/memory controller 945 may be coupled to an L3 cache, which may in turn be coupled to a system memory. In other embodiments, cache/memory controller 945 may be directly coupled to a memory. In some embodiments, cache/memory controller 945 may include one or more internal caches. Memory coupled to controller 945 may be any type of volatile memory, such as dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate (DDR, DDR2, DDR3, etc.) SDRAM (including mobile versions of the SDRAMs such as mDDR3, etc., and/or low power versions of the SDRAMs such as LPDDR4, etc.), RAMBUS DRAM (RDRAM), static RAM (SRAM), etc. One or more memory devices may be coupled onto a circuit board to form memory modules such as single inline memory modules (SIMMs), dual inline memory modules (DIMMs), etc. Alternatively, the devices may be mounted with an integrated circuit in a chip-on-chip configuration, a package-on-package configuration, or a multi-chip module configuration. Memory coupled to controller 945 may be any type of non-volatile memory such as NAND flash memory, NOR flash memory, nano RAM (NRAM), magneto-resistive RAM (MRAM), phase change RAM (PRAM), Racetrack memory, Memristor memory, etc. As noted above, this memory may store program instructions executable by compute complex 920 to cause the computing device to perform functionality described herein.
Graphics unit 975 may include one or more processors, e.g., one or more graphics processing units (GPUs). Graphics unit 975 may receive graphics-oriented instructions, such as OPENGL®, Metal®, or DIRECT3D® instructions, for example. Graphics unit 975 may execute specialized GPU instructions or perform other operations based on the received graphics-oriented instructions. Graphics unit 975 may generally be configured to process large blocks of data in parallel and may build images in a frame buffer for output to a display, which may be included in the device or may be a separate device. Graphics unit 975 may include transform, lighting, triangle, and rendering engines in one or more graphics processing pipelines. Graphics unit 975 may output pixel information for display images. Graphics unit 975, in various embodiments, may include programmable shader circuitry which may include highly parallel execution cores configured to execute graphics programs, which may include pixel tasks, vertex tasks, and compute tasks (which may or may not be graphics-related).
One or more coprocessors 980 may be used to implement particular operations. In some embodiments coprocessor 980 may implement particular operations more efficiently than a general-purpose processor. In various embodiments, coprocessors 980 include optimizations and/or specialized hardware not typically implemented by core processors in compute complex 920. In an embodiment, coprocessor 980 implements vector and matrix operations.
Display unit 965 may be configured to read data from a frame buffer and provide a stream of pixel values for display. Display unit 965 may be configured as a display pipeline in some embodiments. Additionally, display unit 965 may be configured to blend multiple frames to produce an output frame. Further, display unit 965 may include one or more interfaces (e.g., MIPI® or embedded display port (eDP)) for coupling to a user display (e.g., a touchscreen or an external display).
I/O bridge 950 may include various elements configured to implement: universal serial bus (USB) communications, security, audio, and low-power always-on functionality, for example. I/O bridge 950 may also include interfaces such as pulse-width modulation (PWM), general-purpose input/output (GPIO), serial peripheral interface (SPI), and inter-integrated circuit (I2C), for example. Various types of peripherals and devices may be coupled to device 900 via I/O bridge 950.
In some embodiments, device 900 includes network interface circuitry (not explicitly shown), which may be connected to fabric 910 or I/O bridge 950. The network interface circuitry may be configured to communicate via various networks, which may be wired, wireless, or both. For example, the network interface circuitry may be configured to communicate via a wired local area network, a wireless local area network (e.g., via Wi-Fi™), or a wide area network (e.g., the Internet or a virtual private network). In some embodiments, the network interface circuitry is configured to communicate via one or more cellular networks that use one or more radio access technologies. In some embodiments, the network interface circuitry is configured to communicate using device-to-device communications (e.g., Bluetooth® or Wi-Fi™ Direct), etc. In various embodiments, the network interface circuitry may provide device 900 with connectivity to various types of other devices and networks.
Turning now to
Similarly, disclosed elements may be utilized in a wearable device 1060, such as a smartwatch or a health-monitoring device. Smartwatches, in many embodiments, may implement a variety of different functions—for example, access to email, cellular service, calendar, health monitoring, etc. A wearable device may also be designed solely to perform health-monitoring functions, such as monitoring a user's vital signs, performing epidemiological functions such as contact tracing, providing communication to an emergency medical service, etc. Other types of devices are also contemplated, including devices worn on the neck, devices implantable in the human body, glasses or a helmet designed to provide computer-generated reality experiences such as those based on augmented and/or virtual reality, etc.
System or device 1000 may also be used in various other contexts. For example, system or device 1000 may be utilized in the context of a server computer system, such as a dedicated server or on shared hardware that implements a cloud-based service 1070. Still further, system or device 1000 may be implemented in a wide range of specialized everyday devices, including devices 1080 commonly found in the home such as refrigerators, thermostats, security cameras, etc. The interconnection of such devices is often referred to as the “Internet of Things” (IoT). Elements may also be implemented in various modes of transportation. For example, system or device 1000 could be employed in the control systems, guidance systems, entertainment systems, etc. of various types of vehicles 1090.
The applications illustrated in
The present disclosure has described various example circuits in detail above. It is intended that the present disclosure cover not only embodiments that include such circuitry, but also a computer-readable storage medium that includes design information that specifies such circuitry. Accordingly, the present disclosure is intended to support claims that cover not only an apparatus that includes the disclosed circuitry, but also a storage medium that specifies the circuitry in a format that programs a computing system to generate a simulation model of the hardware circuit, programs a fabrication system configured to produce hardware (e.g., an integrated circuit) that includes the disclosed circuitry, etc. Claims to such a storage medium are intended to cover, for example, an entity that produces a circuit design, but does not itself perform complete operations such as: design simulation, design synthesis, circuit fabrication, etc.
In the illustrated example, computing system 1140 processes the design information to generate both a computer simulation model of a hardware circuit 1160 and lower-level design information 1150. In other embodiments, computing system 1140 may generate only one of these outputs, may generate other outputs based on the design information, or both. Regarding the computing simulation, computing system 1140 may execute instructions of a hardware description language that includes register transfer level (RTL) code, behavioral code, structural code, or some combination thereof. The simulation model may perform the functionality specified by the design information, facilitate verification of the functional correctness of the hardware design, generate power consumption estimates, generate timing estimates, etc.
In the illustrated example, computing system 1140 also processes the design information to generate lower-level design information 1150 (e.g., gate-level design information, a netlist, etc.). This may include synthesis operations, as shown, such as constructing a multi-level network, optimizing the network using technology-independent techniques, technology dependent techniques, or both, and outputting a network of gates (with potential constraints based on available gates in a technology library, sizing, delay, power, etc.). Based on lower-level design information 1150 (potentially among other inputs), semiconductor fabrication system 1120 is configured to fabricate an integrated circuit 1130 (which may correspond to functionality of the simulation model 1160). Note that computing system 1140 may generate different simulation models based on design information at various levels of description, including information 1150, 1115, and so on. The data representing design information 1150 and model 1160 may be stored on medium 1110 or on one or more other media.
In some embodiments, the lower-level design information 1150 controls (e.g., programs) the semiconductor fabrication system 1120 to fabricate the integrated circuit 1130. Thus, when processed by the fabrication system, the design information may program the fabrication system to fabricate a circuit that includes various circuitry disclosed herein.
Non-transitory computer-readable storage medium 1110, may comprise any of various appropriate types of memory devices or storage devices. Non-transitory computer-readable storage medium 1110 may be an installation medium, e.g., a CD-ROM, floppy disks, or tape device; a computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc.; a non-volatile memory such as a Flash, magnetic media, e.g., a hard drive, or optical storage; registers, or other similar types of memory elements, etc. Non-transitory computer-readable storage medium 1110 may include other types of non-transitory memory as well or combinations thereof. Accordingly, non-transitory computer-readable storage medium 1110 may include two or more memory media; such media may reside in different locations—for example, in different computer systems that are connected over a network.
Design information 1115 may be specified using any of various appropriate computer languages, including hardware description languages such as, without limitation: VHDL, Verilog, SystemC, SystemVerilog, RHDL, M, MyHDL, etc. The format of various design information may be recognized by one or more applications executed by computing system 1140, semiconductor fabrication system 1120, or both. In some embodiments, design information may also include one or more cell libraries that specify the synthesis, layout, or both of integrated circuit 1130. In some embodiments, the design information is specified in whole or in part in the form of a netlist that specifies cell library elements and their connectivity. Design information discussed herein, taken alone, may or may not include sufficient information for fabrication of a corresponding integrated circuit. For example, design information may specify the circuit elements to be fabricated but not their physical layout. In this case, design information may be combined with layout information to actually fabricate the specified circuitry.
Integrated circuit 1130 may, in various embodiments, include one or more custom macrocells, such as memories, analog or mixed-signal circuits, and the like. In such cases, design information may include information related to included macrocells. Such information may include, without limitation, schematics capture database, mask design data, behavioral models, and device or transistor level netlists. Mask design data may be formatted according to graphic data system (GDSII), or any other suitable format.
Semiconductor fabrication system 1120 may include any of various appropriate elements configured to fabricate integrated circuits. This may include, for example, elements for depositing semiconductor materials (e.g., on a wafer, which may include masking), removing materials, altering the shape of deposited materials, modifying materials (e.g., by doping materials or modifying dielectric constants using ultraviolet processing), etc. Semiconductor fabrication system 1120 may also be configured to perform various testing of fabricated circuits for correct operation.
In various embodiments, integrated circuit 1130 and model 1160 are configured to operate according to a circuit design specified by design information 1115, which may include performing any of the functionality described herein. For example, integrated circuit 1130 may include any of various elements shown in
As used herein, a phrase of the form “design information that specifies a design of a circuit configured to . . . ” does not imply that the circuit in question must be fabricated in order for the element to be met. Rather, this phrase indicates that the design information describes a circuit that, upon being fabricated, will be configured to perform the indicated actions or will include the specified components. Similarly, stating “instructions of a hardware description programming language” that are “executable” to program a computing system to generate a computer simulation model” does not imply that the instructions must be executed in order for the element to be met, but rather specifies characteristics of the instructions. Additional features relating to the model (or the circuit represented by the model) may similarly relate to characteristics of the instructions, in this context. Therefore, an entity that sells a computer-readable medium with instructions that satisfy recited characteristics may provide an infringing product, even if another entity actually executes the instructions on the medium.
Note that a given design, at least in the digital logic context, may be implemented using a multitude of different gate arrangements, circuit technologies, etc. As one example, different designs may select or connect gates based on design tradeoffs (e.g., to focus on power consumption, performance, circuit area, etc.). Further, different manufacturers may have proprietary libraries, gate designs, physical gate implementations, etc. Different entities may also use different tools to process design information at various layers (e.g., from behavioral specifications to physical layout of gates).
Once a digital logic design is specified, however, those skilled in the art need not perform substantial experimentation or research to determine those implementations. Rather, those of skill in the art understand procedures to reliably and predictably produce one or more circuit implementations that provide the function described by the design information. The different circuit implementations may affect the performance, area, power consumption, etc. of a given design (potentially with tradeoffs between different design goals), but the logical function does not vary among the different circuit implementations of the same circuit design.
In some embodiments, the instructions included in the design information instructions provide RTL information (or other higher-level design information) and are executable by the computing system to synthesize a gate-level netlist that represents the hardware circuit based on the RTL information as an input. Similarly, the instructions may provide behavioral information and be executable by the computing system to synthesize a netlist or other lower-level design information. The lower-level design information may program fabrication system 1120 to fabricate integrated circuit 1130.
The present disclosure includes references to “embodiments,” which are non-limiting implementations of the disclosed concepts. References to “an embodiment,” “one embodiment,” “a particular embodiment,” “some embodiments,” “various embodiments,” and the like do not necessarily refer to the same embodiment. A large number of possible embodiments are contemplated, including specific embodiments described in detail, as well as modifications or alternatives that fall within the spirit or scope of the disclosure. Not all embodiments will necessarily manifest any or all of the potential advantages described herein.
This disclosure may discuss potential advantages that may arise from the disclosed embodiments. Not all implementations of these embodiments will necessarily manifest any or all of the potential advantages. Whether an advantage is realized for a particular implementation depends on many factors, some of which are outside the scope of this disclosure. In fact, there are a number of reasons why an implementation that falls within the scope of the claims might not exhibit some or all of any disclosed advantages. For example, a particular implementation might include other circuitry outside the scope of the disclosure that, in conjunction with one of the disclosed embodiments, negates or diminishes one or more the disclosed advantages. Furthermore, suboptimal design execution of a particular implementation (e.g., implementation techniques or tools) could also negate or diminish disclosed advantages. Even assuming a skilled implementation, realization of advantages may still depend upon other factors such as the environmental circumstances in which the implementation is deployed. For example, inputs supplied to a particular implementation may prevent one or more problems addressed in this disclosure from arising on a particular occasion, with the result that the benefit of its solution may not be realized. Given the existence of possible factors external to this disclosure, it is expressly intended that any potential advantages described herein are not to be construed as claim limitations that must be met to demonstrate infringement. Rather, identification of such potential advantages is intended to illustrate the type(s) of improvement available to designers having the benefit of this disclosure. That such advantages are described permissively (e.g., stating that a particular advantage “may arise”) is not intended to convey doubt about whether such advantages can in fact be realized, but rather to recognize the technical reality that realization of such advantages often depends on additional factors.
Unless stated otherwise, embodiments are non-limiting. That is, the disclosed embodiments are not intended to limit the scope of claims that are drafted based on this disclosure, even where only a single example is described with respect to a particular feature. The disclosed embodiments are intended to be illustrative rather than restrictive, absent any statements in the disclosure to the contrary. The application is thus intended to permit claims covering disclosed embodiments, as well as such alternatives, modifications, and equivalents that would be apparent to a person skilled in the art having the benefit of this disclosure.
For example, features in this application may be combined in any suitable manner. Accordingly, new claims may be formulated during prosecution of this application (or an application claiming priority thereto) to any such combination of features. In particular, with reference to the appended claims, features from dependent claims may be combined with those of other dependent claims where appropriate, including claims that depend from other independent claims. Similarly, features from respective independent claims may be combined where appropriate.
Accordingly, while the appended dependent claims may be drafted such that each depends on a single other claim, additional dependencies are also contemplated. Any combinations of features in the dependent that are consistent with this disclosure are contemplated and may be claimed in this or another application. In short, combinations are not limited to those specifically enumerated in the appended claims.
Where appropriate, it is also contemplated that claims drafted in one format or statutory type (e.g., apparatus) are intended to support corresponding claims of another format or statutory type (e.g., method).
Because this disclosure is a legal document, various terms and phrases may be subject to administrative and judicial interpretation. Public notice is hereby given that the following paragraphs, as well as definitions provided throughout the disclosure, are to be used in determining how to interpret claims that are drafted based on this disclosure.
References to a singular form of an item (i.e., a noun or noun phrase preceded by “a,” “an,” or “the”) are, unless context clearly dictates otherwise, intended to mean “one or more.” Reference to “an item” in a claim thus does not, without accompanying context, preclude additional instances of the item. A “plurality” of items refers to a set of two or more of the items.
The word “may” is used herein in a permissive sense (i.e., having the potential to, being able to) and not in a mandatory sense (i.e., must).
The terms “comprising” and “including,” and forms thereof, are open-ended and mean “including, but not limited to.”
When the term “or” is used in this disclosure with respect to a list of options, it will generally be understood to be used in the inclusive sense unless the context provides otherwise. Thus, a recitation of “x or y” is equivalent to “x or y, or both,” and thus covers 1) x but not y, 2) y but not x, and 3) both x and y. On the other hand, a phrase such as “either x or y, but not both” makes clear that “or” is being used in the exclusive sense.
A recitation of “w, x, y, or z, or any combination thereof” or “at least one of . . . w, x, y, and z” is intended to cover all possibilities involving a single element up to the total number of elements in the set. For example, given the set [w, x, y, z], these phrasings cover any single element of the set (e.g., w but not x, y, or z), any two elements (e.g., w and x, but not y or z), any three elements (e.g., w, x, and y, but not z), and all four elements. The phrase “at least one of . . . w, x, y, and z” thus refers to at least one element of the set [w, x, y, z], thereby covering all possible combinations in this list of elements. This phrase is not to be interpreted to require that there is at least one instance of w, at least one instance of x, at least one instance of y, and at least one instance of z.
Various “labels” may precede nouns or noun phrases in this disclosure. Unless context provides otherwise, different labels used for a feature (e.g., “first circuit,” “second circuit,” “particular circuit,” “given circuit,” etc.) refer to different instances of the feature. Additionally, the labels “first,” “second,” and “third” when applied to a feature do not imply any type of ordering (e.g., spatial, temporal, logical, etc.), unless stated otherwise.
The phrase “based on” is used to describe one or more factors that affect a determination. This term does not foreclose the possibility that additional factors may affect the determination. That is, a determination may be solely based on specified factors or based on the specified factors as well as other, unspecified factors. Consider the phrase “determine A based on B.” This phrase specifies that B is a factor that is used to determine A or that affects the determination of A. This phrase does not foreclose that the determination of A may also be based on some other factor, such as C. This phrase is also intended to cover an embodiment in which A is determined based solely on B. As used herein, the phrase “based on” is synonymous with the phrase “based at least in part on.”
The phrases “in response to” and “responsive to” describe one or more factors that trigger an effect. This phrase does not foreclose the possibility that additional factors may affect or otherwise trigger the effect, either jointly with the specified factors or independent from the specified factors. That is, an effect may be solely in response to those factors or may be in response to the specified factors as well as other, unspecified factors. Consider the phrase “perform A in response to B.” This phrase specifies that B is a factor that triggers the performance of A, or that triggers a particular result for A. This phrase does not foreclose that performing A may also be in response to some other factor, such as C. This phrase also does not foreclose that performing A may be jointly in response to B and C. This phrase is also intended to cover an embodiment in which A is performed solely in response to B. As used herein, the phrase “responsive to” is synonymous with the phrase “responsive at least in part to.” Similarly, the phrase “in response to” is synonymous with the phrase “at least in part in response to.”
Within this disclosure, different entities (which may variously be referred to as “units,” “circuits,” other components, etc.) may be described or claimed as “configured” to perform one or more tasks or operations. This formulation—[entity] configured to [perform one or more tasks]—is used herein to refer to structure (i.e., something physical). More specifically, this formulation is used to indicate that this structure is arranged to perform the one or more tasks during operation. A structure can be said to be “configured to” perform some task even if the structure is not currently being operated. Thus, an entity described or recited as being “configured to” perform some task refers to something physical, such as a device, circuit, a system having a processor unit and a memory storing program instructions executable to implement the task, etc. This phrase is not used herein to refer to something intangible.
In some cases, various units/circuits/components may be described herein as performing a set of tasks or operations. It is understood that those entities are “configured to” perform those tasks/operations, even if not specifically noted.
The term “configured to” is not intended to mean “configurable to.” An unprogrammed FPGA, for example, would not be considered to be “configured to” perform a particular function. This unprogrammed FPGA may be “configurable to” perform that function, however. After appropriate programming, the FPGA may then be said to be “configured to” perform the particular function.
For purposes of United States patent applications based on this disclosure, reciting in a claim that a structure is “configured to” perform one or more tasks is expressly intended not to invoke 35 U.S.C. § 112(f) for that claim element. Should Applicant wish to invoke Section 112(f) during prosecution of a United States patent application based on this disclosure, it will recite claim elements using the “means for” [performing a function] construct.
Different “circuits” may be described in this disclosure. These circuits or “circuitry” constitute hardware that includes various types of circuit elements, such as combinatorial logic, clocked storage devices (e.g., flip-flops, registers, latches, etc.), finite state machines, memory (e.g., random-access memory, embedded dynamic random-access memory), programmable logic arrays, and so on. Circuitry may be custom designed or taken from standard libraries. In various implementations, circuitry can, as appropriate, include digital components, analog components, or a combination of both. Certain types of circuits may be commonly referred to as “units” (e.g., a decode unit, an arithmetic logic unit (ALU), functional unit, memory management unit (MMU), etc.). Such units also refer to circuits or circuitry.
The disclosed circuits/units/components and other elements illustrated in the drawings and described herein thus include hardware elements such as those described in the preceding paragraph. In many instances, the internal arrangement of hardware elements within a particular circuit may be specified by describing the function of that circuit. For example, a particular “decode unit” may be described as performing the function of “processing an opcode of an instruction and routing that instruction to one or more of a plurality of functional units,” which means that the decode unit is “configured to” perform this function. This specification of function is sufficient, to those skilled in the computer arts, to connote a set of possible structures for the circuit.
In various embodiments, as discussed in the preceding paragraph, circuits, units, and other elements may be defined by the functions or operations that they are configured to implement. The arrangement and such circuits/units/components with respect to each other and the manner in which they interact form a microarchitectural definition of the hardware that is ultimately manufactured in an integrated circuit or programmed into an FPGA to form a physical implementation of the microarchitectural definition. Thus, the microarchitectural definition is recognized by those of skill in the art as structure from which many physical implementations may be derived, all of which fall into the broader structure described by the microarchitectural definition. That is, a skilled artisan presented with the microarchitectural definition supplied in accordance with this disclosure may, without undue experimentation and with the application of ordinary skill, implement the structure by coding the description of the circuits/units/components in a hardware description language (HDL) such as Verilog or VHDL. The HDL description is often expressed in a fashion that may appear to be functional. But to those of skill in the art in this field, this HDL description is the manner that is used transform the structure of a circuit, unit, or component to the next level of implementational detail.
Such an HDL description may take the form of behavioral code (which is typically not synthesizable), register transfer language (RTL) code (which, in contrast to behavioral code, is typically synthesizable), or structural code (e.g., a netlist specifying logic gates and their connectivity). The HDL description may subsequently be synthesized against a library of cells designed for a given integrated circuit fabrication technology, and may be modified for timing, power, and other reasons to result in a final design database that is transmitted to a foundry to generate masks and ultimately produce the integrated circuit. Some hardware circuits or portions thereof may also be custom-designed in a schematic editor and captured into the integrated circuit design along with synthesized circuitry. The integrated circuits may include transistors and other circuit elements (e.g., passive elements such as capacitors, resistors, inductors, etc.) and interconnect between the transistors and circuit elements. Some embodiments may implement multiple integrated circuits coupled together to implement the hardware circuits, and/or discrete elements may be used in some embodiments. Alternatively, the HDL design may be synthesized to a programmable logic array such as a field programmable gate array (FPGA) and may be implemented in the FPGA. This decoupling between the design of a group of circuits and the subsequent low-level implementation of these circuits commonly results in the scenario in which the circuit or logic designer never specifies a particular set of structures for the low-level implementation beyond a description of what the circuit is configured to do, as this process is performed at a different stage of the circuit implementation process.
The fact that many different low-level combinations of circuit elements may be used to implement the same specification of a circuit results in a large number of equivalent structures for that circuit. As noted, these low-level circuit implementations may vary according to changes in the fabrication technology, the foundry selected to manufacture the integrated circuit, the library of cells provided for a particular project, etc. In many cases, the choices made by different design tools or methodologies to produce these different implementations may be arbitrary.
Moreover, it is common for a single implementation of a particular functional specification of a circuit to include, for a given embodiment, a large number of devices (e.g., millions of transistors). Accordingly, the sheer volume of this information makes it impractical to provide a full recitation of the low-level structure used to implement a single embodiment, let alone the vast array of equivalent possible implementations. For this reason, the present disclosure describes structure of circuits using the functional shorthand commonly employed in the industry.
This application claims priority to U.S. Provisional App. No. 63/586,155 entitled “Selective Toggle Suppression in Multiplexed Datapaths,” filed Sep. 28, 2023, the disclosure of which is hereby incorporated by reference herein in its entirety.
Number | Date | Country | |
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63586155 | Sep 2023 | US |