Automated Architecture-Aware Mapping of Streaming Applications Onto GPUs

Provided by: National University of Singapore
Topic: Hardware
Format: PDF
Graphic Processing Units (GPUs) are made up of many streaming multiprocessors, each consisting of processing cores that interleave the execution of a large number of threads. Groups of threads - called warps and wavefronts, respectively, in nVidia and AMD literature - are selected by the hardware scheduler and executed in lockstep on the available cores. If threads in such a group access the slow off-chip global memory, the entire group has to be stalled, and another group is scheduled instead. The utilization of a given multiprocessor will remain high if there is a sufficient number of alternative thread groups to select from.

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