Efficient dependency detection for concurrent binning gpu workloads
AssigneeQUALCOMM Incorporated
InventorsJonnala Gadda Nagendra Kumar, Andrew Yelder, Jian Liang, Avinash Seetharamaiah
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AssigneeQUALCOMM Incorporated
InventorsJonnala Gadda Nagendra Kumar, Andrew Yelder, Jian Liang, Avinash Seetharamaiah
Estimating the term…
Methods, systems, and devices for dependency detection of a graphical processor unit (GPU) workload at a device are described. The method relates to generating a resource packet for a first GPU workload of a set of GPU workloads, the resource packet including a list of resources, identifying a first resource from the list of resources, retrieving a GPU address from a first memory location associated with the first resource, determining whether a dependency of the first resource exists between the first GPU workload and a second GPU workload from the set of GPU workloads based on the retrieving of the GPU address, and processing, when the dependency exists, the first resource after waiting for a duration to lapse.
A method for dependency detection of a graphical processor unit (GPU) workload at a device, comprising:
An apparatus for dependency detection of a graphical processor unit (GPU) workload, comprising:
A non-transitory computer-readable medium storing code for dependency detection of a graphical processor unit (GPU) workload at a device, the code comprising instructions executable by a processor to:
Dependencies are inferred from the claim text.