Abstract: The disclosed computer-implemented method for generating remedy recommendations for power and performance issues within semiconductor software and hardware. For example, the disclosed systems and methods can apply a rule-based model to telemetry data to generate rule-based root-cause outputs as well as telemetry-based unknown outputs. The disclosed systems and methods can further apply a root-cause machine learning model to the telemetry-based unknown outputs to analyze deep and complex failure patterns with the telemetry-based unknown outputs to ultimately generate one or more root-cause remedy recommendations that are specific to the identified failure and the client computing device that is experiencing that failure.

Abstract: A technique for servicing a memory request is disclosed. The technique includes obtaining permissions associated with a source and a destination specified by the memory request, obtaining a first set of address translations for the memory request, and executing operations for a first request, using the first set of address translations.

Abstract: A memory system includes a PHY embodied on an integrated circuit, the PHY coupling to a memory over conductive traces on a substrate. The PHY includes a reference clock generation circuit providing a reference clock signal to the memory, a first group of driver circuits providing CA signals to the memory, and a second group of driver circuits providing DQ signals to the memory. A plurality of the conductive traces which carry the DQ signals are constructed with a length longer than that of conductive traces carrying the reference clock signal in order to reduce an effective insertion delay associated with coupling the reference clock signal to latch respective incoming DQ signals.

Abstract: A disclosed method can include (i) reporting, by a microcontroller, detection of a violation of a physical infrastructure constraint to a machine check architecture, (ii) triggering, by the machine check architecture in response to the reporting, a machine-check exception such that the violation of the physical infrastructure constraint is recorded, and (iii) performing a corrective action based on the triggering of the machine-check exception. Various other apparatuses, systems, and methods are also disclosed.

Abstract: Connection modification based on traffic pattern is described. In accordance with the described techniques, a traffic pattern of memory operations across a set of connections between at least one device and at least one memory is monitored. The traffic pattern is then compared to a threshold traffic pattern condition, such as an amount of data traffic in different directions across the connections. A traffic direction of at least one connection of the set of connections is modified based on the traffic pattern corresponding to the threshold traffic pattern condition.

Abstract: Systems, apparatuses, and methods for performing command buffer gang submission are disclosed. A system includes at least first and second processors and a memory. The first processor (e.g., CPU) generates a command buffer and stores the command buffer in the memory. A mechanism is implemented where a granularity of work provided to the second processor (e.g., GPU) is increased which, in turn, increases the opportunities for parallel work. In gang submission mode, the user-mode driver (UMD) specifies a set of multiple queues and command buffers to execute on those multiple queues, and that work is guaranteed to execute as a single unit from the GPU operating system scheduler point of view. Using gang submission, synchronization between command buffers executing on multiple queues in the same submit is safe. This opens up optimization opportunities for application use (explicit gang submission) and for internal driver use (implicit gang submission).

Abstract: Techniques for invalidating cache lines are provided. The techniques include issuing, to a first level of a memory hierarchy, a weak exclusive read request for a speculatively executing store instruction; determining whether to invalidate one or more cache lines associated with the store instruction in one or more memories; and issuing the weak invalidation request to additional levels of the memory hierarchy.

Abstract: A processing system includes hull shader circuitry that launches thread groups including one or more primitives. The hull shader circuitry also generates tessellation factors that indicate subdivisions of the primitives. The processing system also includes throttling circuitry that estimates a primitive launch time interval for the domain shader based on the tessellation factors and selectively throttles launching of the thread groups from the hull shader circuitry based on the primitive launch time interval of the domain shader and a hull shader latency. In some cases, the throttling circuitry includes a first counter that is incremented in response to launching a thread group from the buffer and a second counter that modifies the first counter based on a measured latency of the domain shader.

Abstract: Methods and systems are disclosed for cross-chiplet performance data streaming. Techniques disclosed include accumulating, by a subservient chiplet, event data associated with an event indicative of a performance aspect of the subservient chiplet; sending, by the subservient chiplet, the event data over a chiplet bus to a master chiplet; and adding, by the master chiplet, the received event data to an event record, the event record containing previously received, from the subservient chiplet over the chiplet bus, event data associated with the event.

Abstract: Systems and methods related to controlling clock signals for clocking shader engines modules (SEs) and non-shader-engine modules (nSEs) of a graphics processing unit (GPU) are provided. One or more dividers receive a clock signal CLK and output a clock signal CLKA to the SEs and output a clock signal CLKB to the nSEs. The frequencies of CLKA and CLKB are independently selected based on sets of performance counter data monitored at the SEs and nSEs, respectively. The clock signal frequency for either the SEs or the nSEs is reduced when the corresponding sets of performance counter data indicates a comparatively lower processing workload for the SEs or for the nSEs.

Abstract: Systems, apparatuses, and methods for adaptively mapping a machine learning model to a multi-core inference accelerator engine are disclosed. A computing system includes a multi-core inference accelerator engine with multiple inference cores coupled to a memory subsystem. The system also includes a control unit which determines how to adaptively map a machine learning model to the multi-core inference accelerator engine. In one implementation, the control unit selects a mapping scheme which minimizes the memory bandwidth utilization of the multi-core inference accelerator engine. In one implementation, this mapping scheme involves having one inference core of the multi-core inference accelerator engine fetch given data and broadcast the given data to other inference cores of the inference accelerator engine. Each inference core fetches second data unique to the respective inference core.

Abstract: Disclosed is a system and method for use in a cache for suppressing modification of cache line. The system and method includes a processor and a memory operating cooperatively with a cache controller. The memory includes a coherence directory stored within a cache created to track at least one cache line in the cache via the cache controller. The processor instructs a cache controller to store a first data in a cache line in the cache. The cache controller tags the cache line based on the first data. The processor instructs the cache controller to store a second data in the cache line in the cache causing eviction of the first data from the cache line. The processor compares based on the tagging the first data and the second data and suppresses modification of the cache line based on the comparing of the first data and the second data.

Abstract: Methods and systems are described. A system includes a redundant shader pipe array that performs rendering calculations on data provided thereto and a shader pipe array that includes a plurality of shader pipes, each of which performs rendering calculations on data provided thereto. The system also includes a circuit that identifies a defective shader pipe of the plurality of shader pipes in the shader pipe array. In response to identifying the defective shader pipe, the circuit generates a signal. The system also includes a redundant shader switch. The redundant shader switch receives the generated signal, and, in response to receiving the generated signal, transfers the data for the defective shader pipe to the redundant shader pipe array.

Abstract: Systems, apparatuses, and methods for implementing duplicated registers for access by initiators across multiple semiconductor dies are disclosed. A system includes multiple initiators on multiple semiconductor dies of a chiplet processor. One of the semiconductor dies is the master die, and this master die has copies of registers which can be accessed by the multiple initiators on the multiple semiconductor dies. When a given initiator on a given secondary die generates a register access, the register access is routed to the master die and a particular duplicate copy of the register maintained for the given secondary die. From the point of view of software, the multiple semiconductor dies appear as a single die, and the multiple initiators appear as a single initiator. Multiple types of registers can be maintained by the master die, with a flush register being one of the register types.

Abstract: Methods and systems are disclosed for performing dataflow execution by an accelerated processing unit (APU). Techniques disclosed include decoding information from one or more dataflow instructions. The decoded information is associated with dataflow execution of a computational task. Techniques disclosed further include configuring, based on the decoded information, dataflow circuitry, and, then, executing the dataflow execution of the computational task using the dataflow circuitry.

Abstract: A method and apparatus for training data in a computer system includes reading data stored in a first memory address in a memory and writing it to a buffer. Training data is generated for transmission to the first memory address. The data is transmitted to the first memory address. Information relating to the training data is read from the first memory address and the stored data is read from the buffer and written to the memory area where the training data was transmitted.

Abstract: Systems and methods are disclosed for managing diversified virtual memory by an engine. Techniques disclosed include receiving one or more request messages, each request message including a job descriptor that specifies an operation to be performed on a respective virtual memory space, processing the job descriptors by generating one or more commands for transmission to one or more virtual memory managers, and transmitting the one or more commands to the one or more virtual memory managers (VMMs) for processing.

Abstract: Multi-level cell memory management techniques are described. In one example, the memory controller is configured to control whether a single-level cell operation or a multi-level cell operation to be used using different mapping schemes. The single-level cell operation, for instance, is usable to store a data word using two states whereas the multi-level cell operation is usable to store the data word by also using an intermediate state. In order to store the data word using two states, the memory controller is configurable to separate the data word across two word lines in the physical memory. In an implementation, use of the different operations and corresponding mapping schemes by the memory controller alternates between adjacent word lines in physical memory.

Abstract: In accordance with the described techniques for bank-level parallelism for processing in memory, a plurality of commands are received for execution by a processing in memory component embedded in a memory. The memory includes a first bank and a second bank. The plurality of commands include a first stream of commands which cause the processing in memory component to perform operations that access the first bank and a second stream of commands which cause the processing in memory component to perform operations that access the second bank. A next row of the first bank that is to be accessed by the processing in memory component is identified. Further, a precharge command is scheduled to close a first row of the first bank and an activate command is scheduled to open the next row of the first bank in parallel with execution of the second stream of commands.

Abstract: Generating optimization instructions for data processing pipelines is described. A pipeline optimization system computes resource usage information that describes memory and compute usage metrics during execution of each stage of the data processing pipeline. The system additionally generates data storage information that describes how data output by each pipeline stage is utilized by other stages of the pipeline. The pipeline optimization system then generates the optimization instructions to control how memory operations are performed for a specific data processing pipeline during execution. In implementations, the optimization instructions cause a memory system to discard data (e.g., invalidate cache entries) without copying the discarded data to another storage location after the data is no longer needed by the pipeline. The optimization instructions alternatively or additionally control at least one of evicting, writing-back, or prefetching data to minimize latency during pipeline execution.