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A compiler for parallel execution of numerical Python programs on graphics processing units
DownloadFall 2012
Modern Graphics Processing Units (GPUs) are providing breakthrough performance for numerical computing at the cost of increased programming complexity. Current programming models for GPUs require that the programmer manually manage the data transfer between CPU and GPU. This thesis proposes a...
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2011
Amaral, Jose Nelson, Garg, Rahul
Technical report TR11-05. A new compilation framework enables the execution of numerical-intensive applications in an execution environment that is formed by multi-core Central Processing Units (CPUs) and Graphics Processing Units (GPUs). A critical innovation is the use of a variation of Linear...