Scalable Parallel Programming with CUDA
| Autor: | Kevin Skadron, John R. Nickolls, Ian Buck, Michael Garland |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Multi-core processor
General Computer Science Computer science Parallel computing Software_PROGRAMMINGTECHNIQUES ComputerSystemsOrganization_PROCESSORARCHITECTURES Application software computer.software_genre CUDA Scalability Parallel programming model Parallelism (grammar) Leverage (statistics) computer 3D computer graphics |
| Zdroj: | Queue. 6:40-53 |
| ISSN: | 1542-7749 1542-7730 |
| 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 |
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