high performance computing on graphics processing units: hgpu.org

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A parallel method for tuning Fuzzy TSK Systems with CUDA

Bruno B. Ferreira, Adriano J. O. Cruz

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 550 Ti, nVidia GeForce GTX 590, Tesla C2070

November 11, 2012 by hgpu

Beam Dynamics Simulations Using GPUs

J. Fitzek, S. Appel, O. Boine-Frankenheim

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Tags: CUDA, Data parallelism, MPI, nVidia, Physics, Tesla C2075

October 30, 2012 by hgpu

Task Parallelism and Data Distribution: An Overview of Explicit Parallel Programming Languages

Dounia Khaldi, Pierre Jouvelot, Corinne Ancourt, Francois Irigoin

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Tags: Computer science, Data parallelism, Memory model, OpenCL, OpenMP, Overview

October 23, 2012 by hgpu

Empirical analysis of a parallel data mining algorithm on a graphic processor

Davide Berdin

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Tags: Computer science, CUDA, Data mining, Data parallelism, nVidia, nVidia GeForce GTX 580, Thesis

October 20, 2012 by hgpu

Exploiting Data Parallelism in GPUs

Yongpeng Zhang

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Tags: Clustering, Computer science, CUDA, Data parallelism, GPU cluster, MPI, nVidia, nVidia GeForce GTX 280, Thesis

October 14, 2012 by hgpu

Reducing thread divergence in a GPU-accelerated branch-and-bound algorithm

Imen Chakroun, Mohand Mezmaz, Nouredine Melab, Ahcene Bendjoudi

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Tags: Algorithms, Computer science, Data parallelism, nVidia, Optimization, Tesla C2050

September 15, 2012 by hgpu

Policy-based Tuning for Performance Portability and Library Co-optimization

Duane Merrill, Michael Garland, Andrew Grimshaw

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce 9800 GTX, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Optimization, Performance

August 8, 2012 by hgpu

Parallel Statistical Analysis of Analog Circuits by GPU-accelerated Graph-based Approach

Xue-Xin Liu, Sheldon X.-D. Tan, Hai Wang

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Tags: Computer science, CUDA, Data parallelism, Electronic design automation, nVidia, Tesla C2070

August 3, 2012 by hgpu

New Sparse Matrix Storage Format to Improve The Performance of Total SPMV Time

Neelima Reddy, Raghavendra Prakash, Ram Mohana Reddy

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 470, Sparse matrix

August 1, 2012 by hgpu

CuNesl: Compiling Nested Data-Parallel Languages for SIMT Architectures

Yongpeng Zhang, Frank Mueller

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 480

July 17, 2012 by hgpu

Halo Gathering Scalability for Large Scale Multi-dimensional Sznajd Opinion Models Using Data Parallelism with GPUs

K.A. Hawick, D.P. Playne

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Tags: Computer science, CUDA, Data parallelism, Numerical simulation, nVidia, nVidia GeForce GTX 580, Phase transition

July 2, 2012 by hgpu

Parallel Primitives based Spatial Join of Geospatial Data on GPGPUs

Jianting Zhang

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Source codes

Tags: Algorithms, Computer science, CUDA, Data parallelism, Databases, nVidia, nVidia Quadro FX 6000, Package

June 16, 2012 by hgpu

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Shamrock: Multi-GPU hydrodynamics for astrophysics

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

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high performance computing on graphics processing units: hgpu.org

A parallel method for tuning Fuzzy TSK Systems with CUDA

Beam Dynamics Simulations Using GPUs

Task Parallelism and Data Distribution: An Overview of Explicit Parallel Programming Languages

Empirical analysis of a parallel data mining algorithm on a graphic processor

Exploiting Data Parallelism in GPUs

Reducing thread divergence in a GPU-accelerated branch-and-bound algorithm

Policy-based Tuning for Performance Portability and Library Co-optimization

Parallel Statistical Analysis of Analog Circuits by GPU-accelerated Graph-based Approach

New Sparse Matrix Storage Format to Improve The Performance of Total SPMV Time

CuNesl: Compiling Nested Data-Parallel Languages for SIMT Architectures

Halo Gathering Scalability for Large Scale Multi-dimensional Sznajd Opinion Models Using Data Parallelism with GPUs

Parallel Primitives based Spatial Join of Geospatial Data on GPGPUs

Recent source codes

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

Celerity Runtime: High-level C++ for Accelerator Clusters

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

SUperman: Highly Efficient Permanent Computation Library

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

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