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Analysis of GPU accelerated OpenCL applications on the Intel HD 4600 GPU

Arvid Johnsson

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Tags: Benchmarking, Computer science, Intel HD 4600, OpenCL, Sparse matrix, Thesis

September 9, 2017 by hgpu

Benchmarking Harp-DAAL: High Performance Hadoop on KNL Clusters

Langshi Chen, Bo Peng, Bingjing Zhang, Tony Liu, Yiming Zou, Lei Jiang, Robert Henschel, Craig Stewart, Zhang Zhang, Emily Mccallum, Zahniser Tom, Omer Jon, Judy Qiu

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Tags: Benchmarking, big data, Computer science, Intel Xeon Phi, Java, Machine learning, MapReduce, MPI, Package, Performance

September 3, 2017 by hgpu

GARDENIA: A Domain-specific Benchmark Suite for Next-generation Accelerators

Zhen Xu, Xuhao Chen, Jie Shen, Yang Zhang, Cheng Chen, Canqun Yang

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Tags: Benchmarking, Computer science, CUDA, Graph theory, Machine learning, nVidia, Package, Tesla K40

August 17, 2017 by hgpu

Using Graph Properties to Speed-up GPU-based Graph Traversal: A Model-driven Approach

Merijn Verstraaten, Ana Lucia Varbanescu, Cees de Laat

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Graph theory, Machine learning, nVidia, nVidia GeForce GTX Titan X, Package

August 8, 2017 by hgpu

An efficient MPI/OpenMP parallelization of the Hartree-Fock method for the second generation of Intel Xeon Phi processor

Vladimir Mironov, Yuri Alexeev, Kristopher Keipert, Michael D'mello, Alexander Moskovsky, Mark S. Gordon

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Tags: Algorithms, Benchmarking, Chemistry, Computer science, Intel Xeon Phi, MPI, OpenMP, Physics

August 8, 2017 by hgpu

ParTeCL: parallel testing using OpenCL

Vanya Yaneva, Ajitha Rajan, Christophe Dubach

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Tags: Benchmarking, Compilers, Computer science, OpenCL, Package

July 25, 2017 by hgpu

A Comparison of Support Vector Machines Training GPU-Accelerated Open Source Implementations

Jan Vanek, Josef Michalek, Josef Psutka

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Tags: Benchmarking, Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 1080, OpenCL, Package

July 22, 2017 by hgpu

Benchmarking Data Analysis and Machine Learning Applications on the Intel KNL Many-Core Processor

Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther

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Tags: Benchmarking, Caffe, Computer science, Deep learning, Intel Xeon Phi, Machine learning, Performance

July 14, 2017 by hgpu