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A performance study of general-purpose applications on graphics processors using CUDA
Graphics processors (GPUs) provide a vast number of simple, data-parallel, deeply multithreaded cores and high memory bandwidths. GPU architectures are becoming increasingly programmable, offering the potential for dramatic speedups for a variety of ...
Attaining High Performance in General-Purpose Computations on Current Graphics Processors
High Performance Computing for Computational Science - VECPAR 2008The increase in performance of the last generations of graphics processors (GPUs) has made this class of hardware a coprocessing platform of remarkable success in certain types of operations. In this paper we evaluate the performance of linear algebra ...
GPU virtualization for high performance general purpose computing on the ESX hypervisor
HPC '14: Proceedings of the High Performance Computing SymposiumGraphics Processing Units (GPU) have become important components in high performance computing (HPC) systems for their massively parallel computing capability and energy efficiency. Virtualization technologies are increasingly applied to HPC to reduce ...
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