Abstract: A method for scheduling work for processing by a GPU is disclosed. The method includes accessing a work completion data structure and accessing a work tracking data structure. Dependency logic analysis is then performed using work completion data and work tracking data. Work items that have dependencies are then launched into the GPU by using a software work item launch interface.

Abstract: A method for executing an application program using streams. A device driver receives a first command within an application program and parses the first command to identify a first stream token that is associated with a first stream. The device driver checks a memory location associated with the first stream for a first semaphore, and determines whether the first semaphore has been released. Once the first semaphore has been released, a second command within the application program is executed. Advantageously, embodiments of the invention provide a technique for developers to take advantage of the parallel execution capabilities of a GPU.

Abstract: A method for scheduling work for processing by a GPU is disclosed. The method includes accessing a work completion data structure and accessing a work tracking data structure. Dependency logic analysis is then performed using work completion data and work tracking data. Work items that have dependencies are then launched into the GPU by using a software work item launch interface.

Abstract: A method for executing an application program using streams. A device driver receives a first command within an application program and parses the first command to identify a first stream token that is associated with a first stream. The device driver checks a memory location associated with the first stream for a first semaphore, and determines whether the first semaphore has been released. Once the first semaphore has been released, a second command within the application program is executed. Advantageously, embodiments of the invention provide a technique for developers to take advantage of the parallel execution capabilities of a GPU.

Abstract: A system and method for using command buffers as timeslices or periods of execution for a long running compute task on a graphics processor. Embodiments of the present invention allow execution of long running compute applications with operating systems that manage and schedule graphics processing unit (GPU) resources and that may have a predetermined execution time limit for each command buffer. The method includes receiving a request from an application and determining a plurality of command buffers required to execute the request. Each of the plurality of command buffers may correspond to some portion of execution time or timeslice. The method further includes sending the plurality of command buffers to an operating system operable for scheduling the plurality of command buffers for execution on a graphics processor. The command buffers from a different request are time multiplexed within the execution of the plurality of command buffers on the graphics processor.