Taming GPU threads with F# and Alea.GPU
Microsoft
Taming GPU threads with F# and Alea.GPU
Writing GPU kernel code which optimally exploits parallelism and the GPU architecture is the most challenging and time-consuming aspect of GPU software development. Programmers have to identify algorithms suitable for parallelization and while implementing them reason about deadlocks, synchronization, race conditions, shared memory layout ...
Nov 11, 2014
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