Abstract: Embodiments are generally directed to data prefetching for graphics data processing. An embodiment of an apparatus includes one or more processors including one or more graphics processing units (GPUs); and a plurality of caches to provide storage for the one or more GPUs, the plurality of caches including at least an L1 cache and an L3 cache, wherein the apparatus to provide intelligent prefetching of data by a prefetcher of a first GPU of the one or more GPUs including measuring a hit rate for the Li cache; upon determining that the hit rate for the L1 cache is equal to or greater than a threshold value, limiting a prefetch of data to storage in the L3 cache, and upon determining that the hit rate for the L1 cache is less than a threshold value, allowing the prefetch of data to the L1 cache.

Abstract: Embodiments described herein provide a technique to merge partial cache line writes to a cache memory. One embodiment provides a graphics processor comprising a graphics core, a cache coupled with the graphics core, and memory access circuitry to process memory access messages received from the graphics core. The memory access circuitry includes partial cache line write merge circuitry configured to merge a first partial write to a cache line of the cache with a second partial write to the cache line of the cache.

Abstract: One embodiment provides a graphics processor including a processing resource including a register file, memory, a cache, and load/store/cache circuitry to process load, store, and prefetch messages from the processing resource. The circuitry will sort received memory access messages into address sorted lists of reads and writes. The circuitry schedules a first set of address sorted requests from a first request buffer for a first period of time, then schedules a second set of address sorted requests from a second request buffer for a second period of time.

Abstract: A mechanism is described for detecting, at training time, information related to one or more tasks to be performed by the one or more processors according to a training dataset for a neural network, analyzing the information to determine one or more portions of hardware of a processor of the one or more processors that is configurable to support the one or more tasks, configuring the hardware to pre-select the one or more portions to perform the one or more tasks, while other portions of the hardware remain available for other tasks, and monitoring utilization of the hardware via a hardware unit of the graphics processor and, via a scheduler of the graphics processor, adjusting allocation of the one or more tasks to the one or more portions of the hardware based on the utilization.

Abstract: Described herein is a partitional graphics processor having multiple hard partitions with separate software execution and fault domains. One embodiment provides a graphics processor comprising a system interface and a plurality of graphics processing resources coupled with the system interface. The plurality of graphics processing resources is configurable to be partitioned into a plurality of isolated device partitions, each isolated device partition configured for fault isolation and independent concurrent execution of workloads associated with a plurality of clients, and the system interface is configured to present each of the plurality of isolated device partitions as a virtual function.

Abstract: An apparatus and method are described for allocating local memories to virtual machines. For example, one embodiment of an apparatus comprises: a command streamer to queue commands from a plurality of virtual machines (VMs) or applications, the commands to be distributed from the command streamer and executed by graphics processing resources of a graphics processing unit (GPU); a tile cache to store graphics data associated with the plurality of VMs or applications as the commands are executed by the graphics processing resources; and tile cache allocation hardware logic to allocate a first portion of the tile cache to a first VM or application and a second portion of the tile cache to a second VM or application; the tile cache allocation hardware logic to further allocate a first region in system memory to store spill-over data when the first portion of the tile cache and/or the second portion of the file cache becomes full.

Abstract: Embodiments described herein provide a technique to facilitate the broadcast or multicast of asynchronous loads to shared local memory of a plurality of graphics cores within a graphics core cluster. One embodiment provides a graphics processor including a cache memory a graphics core cluster coupled with the cache memory. The graphics core cluster includes a plurality of graphics cores. The plurality of graphics cores includes a graphics core configured to receive a designation as a producer graphics core for a multicast load, read data from the cache memory; and transmit the data read from the cache memory to a consumer graphics core of the plurality of graphics cores.

Abstract: One embodiment provides circuitry coupled with cache memory and a memory interface, the circuitry to compress compute data at multiple cache line granularity, and a processing resource coupled with the memory interface and the cache memory. The processing resource is configured to perform a general-purpose compute operation on compute data associated with multiple cache lines of the cache memory. The circuitry is configured to compress the compute data before a write of the compute data via the memory interface to the memory bus, in association with a read of the compute data associated with the multiple cache lines via the memory interface, decompress the compute data, and provide the decompressed compute data to the processing resource.

Abstract: Embodiments described herein are generally directed to improvements relating to power, latency, bandwidth and/or performance issues relating to GPU processing/caching. According to one embodiment, a state of multiple intellectual property (IP) cores that have access to a common cache via a central fabric is observed. Responsive to the observed state being indicative of performance of a standalone workload by a first IP core of the multiple IP cores, the common cache is treated as a local cache of the first IP core by powering off the central fabric and causing the first IP core to access the common cache via a low power access path between the first IP core and the common cache that is outside of the central fabric.

Abstract: Described herein is a partitionable graphics processor having a plurality of flexibly partitioned processing resources. One embodiment provides a graphics processor comprising a plurality of processing resources configurable to be flexibly partitioned into a plurality of resource partitions and circuitry to compose multiple graphics processor device partitions from the plurality of resource partitions. The multiple graphics processor device partitions are configurable to be asymmetrically composed of different types of functional units.

Abstract: An apparatus to facilitate hardware support for n-dimensional matrix load and store instructions is disclosed. The apparatus includes a graphics processor comprising a general-purpose graphics execution resources, the general-purpose graphics execution resources including a matrix accelerator, the matrix accelerator configured to perform a matrix operation on a plurality of tensors stored in a memory; and circuitry configured to facilitate access to the memory by the general-purpose graphics execution resources, wherein the circuitry is configured to: receive a request to access a tensor of the plurality of tensors; and generate a n-dimensional block access message along a dimension of n>2 of the tensor, the n-dimensional block access message to enable access to the tensor by the matrix accelerator, wherein the n-dimensional block access message comprises an application programming interface (API) descriptor defining a tensor width, tensor pitch, tensor block offset, and a tensor block size of the tensor.

Abstract: Systems and methods for updating remote memory side caches in a multi-GPU configuration are disclosed herein. In one embodiment, a graphics processor for a multi-tile architecture includes a first graphics processing unit (GPU) having a first memory, a first memory side cache memory, a first communication fabric, and a first memory management unit (MMU). The graphics processor includes a second graphics processing unit (GPU) having a second memory, a second memory side cache memory, a second memory management unit (MMU), and a second communication fabric that is communicatively coupled to the first communication fabric. The first MMU is configured to control memory requests for the first memory, to update content in the first memory, to update content in the first memory side cache memory, and to determine whether to update the content in the second memory side cache memory.

Abstract: Methods and apparatus relating to memory controller techniques. In an example, an apparatus comprises a cache memory, a high-bandwidth memory, and a processor communicatively coupled to the cache memory and the high-bandwidth memory, the processor to manage data transfer between the cache memory and the high-bandwidth memory for memory access operations directed to the high-bandwidth memory. Other embodiments are also disclosed and claimed.

Abstract: Methods and apparatus relating to techniques for multi-tile memory management. In an example, a graphics processor includes an interposer, a first chiplet coupled with the interposer, the first chiplet including a graphics processing resource and an interconnect network coupled with the graphics processing resource, cache circuitry coupled with the graphics processing resource via the interconnect network, and a second chiplet coupled with the first chiplet via the interposer, the second chiplet including a memory-side cache and a memory controller coupled with the memory-side cache. The memory controller is configured to enable access to a high-bandwidth memory (HBM) device, the memory-side cache is configured to cache data associated with a memory access performed via the memory controller, and the cache circuitry is logically positioned between the graphics processing resource and a chiplet interface.

Abstract: Systems, apparatuses and methods may provide away to render augmented reality (AR) and/or virtual reality (VR) sensory enhancements using ray tracing. More particularly, systems, apparatuses and methods may provide a way to normalize environment information captured by multiple capture devices, and calculate, for an observer, the sound sources or sensed events vector paths. The systems, apparatuses and methods may detect and/or manage one or more capture devices and assign one or more the capture devices based on one or more conditions to provide observer an immersive VR/AR experience.

Abstract: Apparatus and method for stack throttling.

Abstract: An integrated circuit (IC) package apparatus is disclosed. The IC package includes one or more processing units and a bridge, mounted below the one or more processing unit, including one or more arithmetic logic units (ALUs) to perform atomic operations.

Abstract: One embodiment provides a graphics processor including an active base die including a fabric interconnect and a chiplet including a switched fabric, wherein the chiplet couples with the active base die via an array of interconnect structures, the array of interconnect structures couple the fabric interconnect with the switched fabric, and the chiplet includes a first modular interconnect configured to couple a block of graphics processing resources to the switched fabric and a second modular interconnect configured to couple a memory subsystem with the switched fabric and the block of graphics processing resources, the memory interconnect including a set of memory controllers and a set of physical interfaces.

Abstract: In a further embodiment, a system on a chip integrated circuit (SoC) is provided that includes an active base die including a first cache memory, a first die mounted on and coupled with the active base die, and a second die mounted on the active base die and coupled with the active base die and the first die. The first die includes an interconnect fabric, an input/output interface, and an atomic operation handler. The second die includes an array of graphics processing elements and an interface to the first cache memory of the active base die. At least one of the graphics processing elements are configured to perform, via the atomic operation handler, an atomic operation to a memory device.

Abstract: Bank aware thread scheduling and early dependency clearing techniques are described herein. In one example, bank aware thread scheduling involves arbitrating and scheduling threads based on the cache bank that is to be accessed by the instructions to avoiding bank conflicts. Early dependency clearing involves clearing dependencies for cache loads in a scoreboard before the data is loaded. In early dependency clearing for loads, delays in operation can be reduced by clearing dependencies before data is required from the cache.