2015 · 13 citations · 3 references
ComputingComputer ScienceHigh-performance ComputingComputer ArchitectureComputer GraphicsParallel ComputingData ParallelismGraphics Processing Unit ArchitectureGraphics Processing Unit ComputingGraphics Processing UnitsMatrix ComputationParallel ArchitecturesComparative Performance BenchmarkingGpu ArchitectureGpu Performance ProfilingMatrix MultiplicationMulticore ArchitecturesMulticore Processor ArchitectureMulticore SystemsParallel Matrix Multiplication
This paper reports the performances of an Intel Xeon Phi coprocessor and an Nvidia Tesla GPU for multiplication of large matrices. For this purpose, various libraries, such as Intel MKL and MAGMA, are employed with different execution modes of the coprocessor. We compare the performances of the coprocessor and the GPU in terms of running time, memory requirement, and programming difficulty for the special case of matrix-matrix multiplication.
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XSW: Accelerating Biological Database Search on Xeon Phi
Lipeng Wang, Yuandong Chan, Xiaohui Duan et al. · 2014 · 32 citations
Training Large Scale Deep Neural Networks on the Intel Xeon Phi Many-Core Coprocessor
Lei Jin, Zhaokang Wang, Rong Gu et al. · 2014 · 22 citations