102 search results - page 15 / 21 » NVIDIA cuda software and gpu parallel computing architecture |
176
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PPOPP
2011
ACM
14 years 6 months ago
2011
ACM
In recent years, GPUs have emerged as an extremely cost-effective means for achieving high performance. Many application developers, including those with no prior parallel program...
125
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PPOPP
2009
ACM
16 years 3 months ago
2009
ACM
In a previous paper we show how the FLAME methods and tools provide a solution to compute dense dense linear algebra operations on a multi-GPU platform with reasonable performance...
129
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IEEEPACT
2008
IEEE
15 years 9 months ago
2008
IEEE
We design and implement Mars, a MapReduce framework, on graphics processors (GPUs). MapReduce is a distributed programming framework originally proposed by Google for the ease of ...
285
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ICFP
2012
ACM
13 years 5 months ago
2012
ACM
Graphics processing units (GPUs) provide both memory bandwidth and arithmetic performance far greater than that available on CPUs but, because of their Single-Instruction-Multiple...
126
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BMCBI
2010
15 years 3 months ago
2010
Background: Many analyses of microarray association studies involve permutation, bootstrap resampling and crossvalidation, that are ideally formulated as embarrassingly parallel c...