Scalable parallel programming with cuda: Is cuda the parallel programming model that application developers have been waiting for?
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.
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.
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.
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