DocumentCode :
3774635
Title :
Scalable parallel programming
Author :
John Nickolls;Ian Buck;Michael Garland
Author_Institution :
NVIDIA, Kevin Skadron, University of Virginia, USA
fYear :
2008
Firstpage :
40
Lastpage :
53
Abstract :
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.
Keywords :
"Graphics processing units","Scalability","Parallel processing","Computer architecture","Computational modeling","Parallel programming"
Publisher :
ieee
Conference_Titel :
Hot Chips 20 Symposium (HCS), 2008 IEEE
Type :
conf
DOI :
10.1109/HOTCHIPS.2008.7476525
Filename :
7476525
Link To Document :
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