Abstract:
Embodiments include methods, systems and computer readable media configured to execute a first kernel (e.g. compute or graphics kernel) with reduced intermediate state storage resource requirements. These include executing a first and second (e.g. prefetch) kernel on a data-parallel processor, such that the second kernel begins executing before the first kernel. The second kernel performs memory operations that are based upon at least a subset of memory operations in the first kernel.
Abstract:
Embodiments include methods, systems and non-transitory computer-readable computer readable media including instructions for executing a prefetch kernel that includes memory accesses for prefetching data for a processing kernel into a memory, and, subsequent to executing at least a portion of the prefetch kernel, executing the processing kernel where the processing kernel includes accesses to data that is stored into the memory resulting from execution of the prefetch kernel.
Abstract:
Embodiments include methods, systems and non-transitory computer-readable computer readable media including instructions for executing a prefetch kernel with reduced intermediate state storage resource requirements. These include executing a prefetch kernel on a graphics processing unit (GPU), such that the prefetch kernel begins executing before a processing kernel. The prefetch kernel performs memory operations that are based upon at least a subset of memory operations in the processing kernel.
Abstract:
Methods, systems and computer readable storage mediums for more efficient and flexible scheduling of tasks on an asymmetric processing system having at least one host processor and one or more slave processors, are disclosed. An example embodiment includes, determining a data access requirement of a task, comparing the data access requirement to respective local memories of the one or more slave processors selecting a slave processor from the one or more slave processors based upon the comparing, and running the task on the selected slave processor.
Abstract:
Methods, systems and computer readable storage mediums for more efficient and flexible scheduling of tasks on an asymmetric processing system having at least one host processor and one or more slave processors, are disclosed. An example embodiment includes, determining a data access requirement of a task, comparing the data access requirement to respective local memories of the one or more slave processors selecting a slave processor from the one or more slave processors based upon the comparing, and running the task on the selected slave processor.
Abstract:
Embodiments include methods, systems and non-transitory computer-readable computer readable media including instructions for executing a prefetch kernel that includes memory accesses for prefetching data for a processing kernel into a memory, and, subsequent to executing at least a portion of the prefetch kernel, executing the processing kernel where the processing kernel includes accesses to data that is stored into the memory resulting from execution of the prefetch kernel.
Abstract:
Embodiments disclose a system and method for reducing virtual address translation latency in a wide execution engine that implements virtual memory. One example method describes a method comprising receiving a wavefront, classifying the wavefront into a subset based on classification criteria selected to reduce virtual address translation latency associated with a memory support structure, and scheduling the wavefront for processing based on the classifying.
Abstract:
Embodiments include methods, systems and non-transitory computer-readable computer readable media including instructions for executing a prefetch kernel with reduced intermediate state storage resource requirements. These include executing a prefetch kernel on a graphics processing unit (GPU), such that the prefetch kernel begins executing before a processing kernel. The prefetch kernel performs memory operations that are based upon at least a subset of memory operations in the processing kernel.
Abstract:
Embodiments disclose a system and method for reducing virtual address translation latency in a wide execution engine that implements virtual memory. One example method describes a method comprising receiving a wavefront, classifying the wavefront into a subset based on classification criteria selected to reduce virtual address translation latency associated with a memory support structure, and scheduling the wavefront for processing based on the classifying.