Abstract:Heterogeneous architectures can improve the performance of applications with computationally intensive, data-parallel operations. Even when these architectures may reduce the execution time of applications, there are opportunities for additional performance improvement as the memory hierarchy of the central processor cores and the graphics processor cores are separate. Applications executing on heterogeneous architectures must allocate space in the GPU global memory, copy input data, invoke kernels, and copy r… Show more
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