Scalable Parallel Programming with CUDA

The advent of multicore CPUs and manycore GPUs means that mainstream processor chips are now parallel systems. Furthermore, their parallelism continues to scale with Moore’s law. The challenge is to develop mainstream application software that transparently scales its parallelism to leverage the increasing number of processor cores, much as 3D graphics applications transparently scale their parallelism to manycore GPUs with widely varying numbers of cores.


John Nickolls (NVIDIA)
Ian Buck (NVIDIA)
Kevin Skadron (University of Virginia)

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