Directive-based Heterogeneous Programming A GPU-Accelerated RTM Use Case
نویسندگان
چکیده
Hybrid parallel multicore architectures based on Graphics Processing Units (GPUs) can provide tremendous computing power. Current NVIDIA and AMD Graphics Product Group hardware display a peak performance of hundreds of gigaflops. However, exploiting GPUs from existing applications is a difficult task that requires non-portable rewriting of the code. In this paper, we present HMPP, a Heterogenous Multicore Parallel Programming workbench with compilers used to accelerate a Reverse Time Migration (RTM) application in a unintrusive manner while preserving the legacy code.
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تاریخ انتشار 2009