Samsung Electronics Co., Ltd.

Rama S B Harihara

David Conrad Tannenbaum

Christopher P Frascati

Gabriel T Dagani

Keshavan Varadarajan

Fnu Gurupad

Simon Waters

A system and a method are disclosed improving forward progress of preempted workloads. A graphics pipeline processes tiles of a first low-priority job. A controller stops the first job by resetting the GPU and preempting the first job with a second job having a higher priority, determine whether the first job has been previously preempted one or more times, and adjust a batch-binning parameter reducing a likelihood that the first job will again be preempted in the current frame. In one embodiment, the controller is configured to stop the first job at a preemption boundary during a draw call or by resetting the GPU. A batch-binning parameter may include postponing sorting primitives into tiles during a binning process, increasing a number of tiles for backend rendering, reducing a quality of anti-aliasing, decreasing a shading rate quality, and/or decreasing input resolution and increasing upscaling of the first job.

Method and apparatus for software based preemption using two-level binning to improve forward progress of preempted workloads

A graphics processing unit (GPU) and a method is disclosed that performs a convolution operation recast as a matrix multiplication operation. The GPU includes a register file, a processor and a state machine. The register file stores data of an input feature map and data of a filter weight kernel. The processor performs a convolution operation on data of the input feature map and data of the filter weight kernel as a matrix multiplication operation. The state machine facilitates performance of the convolution operation by unrolling the data of the input feature map and the data of the filter weight kernel in the register file. The state machine includes control registers that determine movement of data through the register file to perform the matrix multiplication operation on the data in the register file in an unrolled manner.

Flexible-access instructions for efficient access of ML data

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San Jose, CA, United States of America

Rama S B Harihara