Programming Model for Resource-Constrained Scheduling

Abstract

The present technology augments the GPU compute model to provide system-provided data marshalling characteristics of graphics pipelining to increase efficiency and reduce overhead. A simple scheduling model based on scalar counters (e.g., semaphores) abstract the availability of hardware resources. Resource releases can be done programmatically, and a system scheduler only needs to track the states of such counters/semaphores to make work launch decisions. Semantics of the counters/semaphores are defined by an application, which can use the counters/semaphores to represent the availability of free space in a memory buffer, the amount of cache pressure induced by the data flow in the network, or the presence of work items to be processed.

Dependencies are inferred from the claim text.