high performance computing on graphics processing units: hgpu.org

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Characterizing and Optimizing Irregular Applications on Graphics Processing Units

Tao Zhang

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, Performance, Thesis

July 10, 2015 by hgpu

Contributions to Music Semantic Analysis and Its Acceleration Techniques

Boyang Gao

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Tags: Acoustics, Algorithms, Computer science, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, Thesis

July 10, 2015 by hgpu

Many-Core Compiler Fuzzing

Christopher Lidbury, Andrei Lascu, Nathan Chong, Alastair F. Donaldson

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Tags: ATI, ATI Radeon HD 6570, ATI Radeon HD 7970, Compilers, Computer science, FPGA, Intel HD 4600, Intel Xeon Phi, nVidia, nVidia GeForce GTX 770, nVidia GeForce GTX Titan, OpenCL, Tesla K40, Tesla M2050

July 10, 2015 by hgpu

Towards Good Practices for Very Deep Two-Stream ConvNets

Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao

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Tags: Computer science, Computer vision, CUDA, Deep learning, Machine learning, MPI, nVidia, OpenMPI, Package

July 10, 2015 by hgpu

Multiple String Matching on a GPU using CUDAs

Charalampos S. Kouzinopoulos, Panagiotis D. Michailidis, Konstantinos G. Margaritis

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Tags: Algorithms, Biology, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, String matching

July 10, 2015 by hgpu

Learning Better Encoding for Approximate Nearest Neighbor Search with Dictionary Annealing

Shicong Liu, Hongtao Lu

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Tags: Computer science, Databases, Nearest neighbour, nVidia, nVidia GeForce GTX 980, Optimization, Vector quantization

July 8, 2015 by hgpu

Model-based optimization of MPDATA on Intel Xeon Phi through load imbalancing

Alexey Lastovetsky, Lukasz Szustak, Roman Wyrzykowski

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Tags: Computer science, Intel Xeon Phi, Performance

July 8, 2015 by hgpu

Autotuning OpenACC Work Distribution via Direct Search

Calvin Montgomery, Jeffrey L. Overbey, Xuechao Li

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Tags: Computer science, MPI, nVidia, OpenACC, Package, Performance, Python, Tesla K20

July 8, 2015 by hgpu

Experiments on Parallel Training of Deep Neural Network using Model Averaging

Hang Su, Haoyu Chen

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Tags: Computer science, CUDA, Deep learning, MPI, Neural networks, nVidia, Tesla K20

July 8, 2015 by hgpu

Sorting and Permuting without Bank Conflicts on GPUs

Peyman Afshani, Nodari Sitchinava

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Tags: Algorithms, Computer science, Performance, Sorting

July 8, 2015 by hgpu

High Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications

Anton Akusok, Kaj-Mikael Bjork, Yoan Miche, Amaury Lendasse

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, Machine learning, nVidia, OpenCL, Package, Python

July 6, 2015 by hgpu

Best bang for your buck: GPU nodes for GROMACS biomolecular simulations

Carsten Kutzner, Szilard Pall, Martin Fechner, Ansgar Esztermann, Bert L. de Groot, Helmut Grubmuller

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Tags: Benchmarking, Biological Physics, Biomolecules, Computational Physics, Computer science, Molecular dynamics, Molecular simulation, MPI, nVidia, Package, Performance, Tesla K20, Tesla K40

July 6, 2015 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach

HiRep

Scaling SU(2) to 1000 GPUs using HiRep

Gaia AVU-GSR

Performance portability via C++ PSTL, SYCL, OpenMP, and HIP: the Gaia AVU-GSR case study

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Characterizing and Optimizing Irregular Applications on Graphics Processing Units

Contributions to Music Semantic Analysis and Its Acceleration Techniques

Many-Core Compiler Fuzzing

Towards Good Practices for Very Deep Two-Stream ConvNets

Multiple String Matching on a GPU using CUDAs

Learning Better Encoding for Approximate Nearest Neighbor Search with Dictionary Annealing

Model-based optimization of MPDATA on Intel Xeon Phi through load imbalancing

Autotuning OpenACC Work Distribution via Direct Search

Experiments on Parallel Training of Deep Neural Network using Model Averaging

Sorting and Permuting without Bank Conflicts on GPUs

High Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications

Best bang for your buck: GPU nodes for GROMACS biomolecular simulations

Recent source codes

tdg-benchs: benchmarks used to test the performance of taskgraph

SW#SYCL

LLOR: Automatic Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

HiRep

Gaia AVU-GSR

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

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