high performance computing on graphics processing units: hgpu.org

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The Multi2Sim Simulation Framework: A CPU-GPU Model for Heterogeneous Computing

Rafael Ubal, Julio Sahuquillo, Salvador Petit, Pedro Lopez, Zhongliang Chen, David R. Kaeli

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Tags: ATI, ATI Radeon HD 5870, Computer science, Heterogeneous systems, OpenCL, Operating systems, Package

November 18, 2011 by hgpu

Characterization and Transformation of Unstructured Control Flow in GPU Applications

Haicheng Wu, Gregory Diamos, Si Li, Sudhakar Yalamanchili

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Performance, Programming Languages

November 17, 2011 by hgpu

Adaboost GPU-based Classifier for Direct Volume Rendering

Oscar Amoros, Sergio Escalera, Anna Puig

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Tags: Computer science, CUDA, GLSL, Machine learning, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, OpenCL, OpenGL, Rendering, Visualization

November 17, 2011 by hgpu

The role of GPU computing in medical image analysis and visualization

S. Moulik, W. Boonn

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Tags: Algorithms, Computer science, CUDA, Image processing, Medicine, nVidia, OpenCL, OpenGL, Visualization

November 17, 2011 by hgpu

Parallel Performance Measurement of Heterogeneous Parallel Systems with GPUs

Allen D. Malony, Scott Biersdorff, Sameer Shende, Heike Jagode, Stanimire Tomov, Guido Juckeland, Robert Dietrich, Duncan Poole, Christopher Lamb

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Performance, Tesla C870

November 17, 2011 by hgpu

Simulations of Large Particle Systems in Real Time

Witold Alda, Krzysztof Boryczko

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Tags: Algorithms, Computer science, CUDA, Molecular dynamics, nVidia, OpenCL, Particle simulation, Visualization

November 16, 2011 by hgpu

Object Space Based Collision Detection for Cloth Simulation on the GPU

Tzvetomir Vassilev, Vladimir Dochev

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Tags: Algorithms, Collision detection, Computer science, nVidia, nVidia GeForce GTX 260, OpenCL, OpenGL

November 16, 2011 by hgpu

Parallel Approach for Longest Common Subsequence problem on GPU

Raik Issaoui, Amine Draief, Abdelfettah Belghith

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GT 430, OpenCL, Sequence matching

November 16, 2011 by hgpu

Scope for performance enhancement of CMU Sphinx by parallelising with OpenCL

S. C. Harish, D. Balaji, M. Vignesh, P. Deepan Kumar, V. Adinarayanan

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Tags: OpenCL, Signal processing, Speech recognition

November 16, 2011 by hgpu

CUDA and OpenCL-based asynchronous PSO

Youssef S. G. Nashed, Alessandro Bacchini, Stefano Cagnoni, Luca Mussi

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Tags: Computer science, CUDA, Genetic programming, nVidia, OpenCL

November 16, 2011 by hgpu

Creating HW/SW co-designed MPSoPC’s from high level programming models

Eugene Cartwright, Sen Ma, David Andrews, Miaoqing Huang

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Tags: Computer science, FPGA, Heterogeneous systems, OpenCL, Operating systems, Pthreads

November 12, 2011 by hgpu

Synthetic Aperture Beamformation using the GPU

Jens Munk Hansen, Dana Schaa, Jorgen Arendt Jensen

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Tags: ATI, ATI Radeon HD 5870, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL, Signal processing, Ultrasound

November 11, 2011 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

The Multi2Sim Simulation Framework: A CPU-GPU Model for Heterogeneous Computing

Characterization and Transformation of Unstructured Control Flow in GPU Applications

Adaboost GPU-based Classifier for Direct Volume Rendering

The role of GPU computing in medical image analysis and visualization

Parallel Performance Measurement of Heterogeneous Parallel Systems with GPUs

Simulations of Large Particle Systems in Real Time

Object Space Based Collision Detection for Cloth Simulation on the GPU

Parallel Approach for Longest Common Subsequence problem on GPU

Scope for performance enhancement of CMU Sphinx by parallelising with OpenCL

CUDA and OpenCL-based asynchronous PSO

Creating HW/SW co-designed MPSoPC’s from high level programming models

Synthetic Aperture Beamformation using the GPU

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