Scalable parallel programming with CUDA

Autor: Michael Garland, Kevin Skadron, John R. Nickolls, Ian Buck
Rok vydání: 2008
Předmět:
Zdroj: SIGGRAPH Classes
Popis: 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.
Databáze: OpenAIRE