Abstract: Embodiments described herein provide techniques to facilitate scalable interrupts and workload submission for a virtualized graphics processor. The techniques include memory-based interrupt reporting and shared work queue submission for multiple software domains.

Abstract: Embodiments are generally directed to graphics processor data access and sharing. An embodiment of an apparatus includes a circuit element to produce a result in processing of an application; a load-store unit to receive the result and generate pre-fetch information for a cache utilizing the result; and a prefetch generator to produce prefetch addresses based at least in part on the pre-fetch information; wherein the load-store unit is to receive software assistance for prefetching, and wherein generation of the pre-fetch information is based at least in part on the software assistance.

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: In an example, an apparatus comprises a plurality of execution units, and a first memory communicatively couple to the plurality of execution units, wherein the first shared memory is shared by the plurality of execution units and a copy engine to copy context state data from at least a first of the plurality of execution units to the first shared memory. Other embodiments are also disclosed and claimed.

Abstract: In an example, an apparatus comprises a plurality of execution units comprising at least a first type of execution unit and a second type of execution unit and logic, at least partially including hardware logic, to analyze a workload and assign the workload to one of the first type of execution unit or the second type of execution unit. Other embodiments are also disclosed and claimed.

Abstract: Device memory protection for supporting trust domains is described. An example of a computer-readable storage medium includes instructions for allocating device memory for one or more trust domains (TDs) in a system including one or more processors and a graphics processing unit (GPU); allocating a trusted key ID for a TD of the one or more TDs; creating LMTT (Local Memory Translation Table) mapping for address translation tables, the address translation tables being stored in a device memory of the GPU; transitioning the TD to a secure state; and receiving and processing a memory access request associated with the TD, processing the memory access request including accessing a secure version of the address translation tables.

Abstract: Described herein is a partitional graphics processor including a display controller including hardware display virtualization. One embodiment provides a graphics processor comprising a system interface including a first virtual interface and a second virtual interface, a render engine to perform graphics rendering operations, and a display engine including hardware display virtualization. The render engine is configured to perform a first rendering operation in response to a command received via the first virtual interface and a second rendering operation in response to a command received via the second virtual interface. The display engine configured to present output of the first rendering operation via a first physical display plane that is associated with the first virtual interface and present output of the second rendering operation via a second physical display plane that is associated with the second virtual interface.

Abstract: Described herein is a graphics processor comprising a processing resource configured to perform processing operations, a codec configured to compress and decompress data associated with the processing operations, and circuitry configured to calculate a metadata address for a compressed surface based on a flat virtual memory address mapping between the address of the compressed surface and the metadata address. The compressed surface is to store data associated with a processing operation to be performed by the processing resource and the metadata address is a virtual address that stores compression metadata for the compressed surface. The circuitry can configure the codec to access the compressed surface based on the compression metadata.

Abstract: An apparatus and method are described for implementing memory management in a graphics processing system. For example, one embodiment of an apparatus comprises: a first plurality of graphics processing resources to execute graphics commands and process graphics data; a first memory management unit (MMU) to communicatively couple the first plurality of graphics processing resources to a system-level MMU to access a system memory; a second plurality of graphics processing resources to execute graphics commands and process graphics data; a second MMU to communicatively couple the second plurality of graphics processing resources to the first MMU; wherein the first MMU is configured as a master MMU having a direct connection to the system-level MMU and the second MMU comprises a slave MMU configured to send memory transactions to the first MMU, the first MMU either servicing a memory transaction or sending the memory transaction to the system-level MMU on behalf of the second MMU.

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: Embodiments described herein provide techniques to facilitate access to local memory of a graphics processor by a guest software domain. The guest software domain can access the local memory via an address translation system that includes a local memory translation table.

Abstract: Embodiments described herein provide techniques to facilitate access to local memory of a graphics processor by a guest software domain. The guest software domain can access the local memory via an address translation system that includes a local memory translation table. In one embodiment, accessed and/or dirty bits are enabled in the local memory translation table, which may be used to accelerate the GPU local memory portion of VM Migration for a VM that includes a vGPU.

Abstract: Described herein is a partitionable graphics processor having multiple render front ends. The partitions of the graphics processor maintain render functionality when partitioned and enable fault isolation and independent multi-client rendering.

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: Embodiments described herein provide techniques to facilitate scalable interrupts and workload submission for a virtualized graphics processor. The techniques include memory-based interrupt reporting and shared work queue submission for multiple software domains.

Abstract: In an example, an apparatus comprises a plurality of execution units comprising at least a first type of execution unit and a second type of execution unit and logic, at least partially including hardware logic, to analyze a workload and assign the workload to one of the first type of execution unit or the second type of execution unit. Other embodiments are also disclosed and claimed.

Abstract: Embodiments described herein provide techniques to facilitate scalable interrupts and workload submission for a virtualized graphics processor. The techniques include memory-based interrupt reporting and shared work queue submission for multiple software domains.

Abstract: In an example, an apparatus comprises a plurality of execution units, and a first memory communicatively couple to the plurality of execution units, wherein the first shared memory is shared by the plurality of execution units and a copy engine to copy context state data from at least a first of the plurality of execution units to the first shared memory. Other embodiments are also disclosed and claimed.

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: Apparatus and method for scalable error reporting. For example, one embodiment of an apparatus comprises error detection circuitry to detect an error in a component of a first tile within a tile-based hierarchy of a processing device; error classification circuitry to classify the error and record first error data based on the classification; a first tile interface to combine the first error data with second error data received from one or more other components associated with the first tile to generate first accumulated error data; and a master tile interface to combine the first accumulated error data with second accumulated error data received from at least one other tile interface to generate second accumulated error data and to provide the second accumulated error data to a host executing an application to process the second accumulated error data.