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: 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: 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 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 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 provide for an apparatus comprising a graphics processing subsystem including one or more graphics engines and a graphics scheduler to schedule a submission queue of multiple work items for execution on the one or more graphics engines of the graphics processing subsystem. The graphics scheduler can be configured to build the submission queue via a write to a memory mapped address that is mapped to logic within the graphics processing subsystem and to explicitly submit the submission queue to the graphics engine after the build of the submission queue.

Abstract: Embodiments provide for an apparatus comprising a graphics processing subsystem including one or more graphics engines and a graphics scheduler to schedule a submission queue of multiple work items for execution on the one or more graphics engines of the graphics processing subsystem. The graphics scheduler can be configured to build the submission queue via a write to a memory mapped address that is mapped to logic within the graphics processing subsystem and to explicitly submit the submission queue to the graphics engine after the build of the submission queue.

Abstract: A computing device for performing scheduling operations for graphics hardware is described herein. The computing device includes a central processing unit (CPU) that is configured to execute an application. The computing device also includes a graphics scheduler configured to operate independently of the CPU. The graphics scheduler is configured to receive work queues relating to workloads from the application that are to execute on the CPU and perform scheduling operations for any of a number of graphics engines based on the work queues.

Abstract: A computing device for performing scheduling operations for graphics hardware is described herein. The computing device includes a central processing unit (CPU) that is configured to execute an application. The computing device also includes a graphics scheduler configured to operate independently of the CPU. The graphics scheduler is configured to receive work queues relating to workloads from the application that are to execute on the CPU and perform scheduling operations for any of a number of graphics engines based on the work queues.