102 search results - page 15 / 21 » NVIDIA cuda software and gpu parallel computing architecture |
PPOPP
2011
ACM
12 years 10 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...
PPOPP
2009
ACM
14 years 8 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...
IEEEPACT
2008
IEEE
14 years 2 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 ...
ICFP
2012
ACM
11 years 10 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...
BMCBI
2010
13 years 7 months ago
2010
Background: Many analyses of microarray association studies involve permutation, bootstrap resampling and crossvalidation, that are ideally formulated as embarrassingly parallel c...