Maximized memory throughput using cooperative thread arrays
AssigneeNVIDIA Corporation
InventorsNorbert Juffa, Brett W. Coon
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AssigneeNVIDIA Corporation
InventorsNorbert Juffa, Brett W. Coon
Estimating the term…
In parallel processing devices, for streaming computations, processing of each data element of the stream may not be computationally intensive and thus processing may take relatively small amounts of time to compute as compared to memory accesses times required to read the stream and write the results. Therefore, memory throughput often limits the performance of the streaming computation. Generally stated, provided are methods for achieving improved, optimized, or ultimately, maximized memory throughput in such memory-throughput-limited streaming computations. Streaming computation performance is maximized by improving the aggregate memory throughput across the plurality of processing elements and threads. High aggregate memory throughput is achieved by balancing processing loads between threads and groups of threads and a hardware memory interface coupled to the parallel processing devices.
A method for processing an input data stream comprising a plurality of input data elements, the method comprising:
A method for processing an input data stream comprising a plurality of input data elements, the method comprising:
A system for processing an input data stream comprising a plurality of input data elements, the system comprising:
Dependencies are inferred from the claim text.