high performance computing on graphics processing units: hgpu.org

hgpu.org » Applications

fastHOG – a real-time GPU implementation of HOG

Victor A. Prisacariu, Ian Reid

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 285, Package

March 22, 2011 by hgpu

MrBayes on a Graphics Processing Unit

Jianfu Zhou, Xiaoguang Liu, Douglas S. Stones, Qiang Xie, Gang Wang

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Tags: Bayesian, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 480, Package

March 18, 2011 by hgpu

Obsidian: GPU Programming in Haskell

Koen Claessen, Mary Sheeran, Joel Svensson

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Package

March 13, 2011 by hgpu

Obsidian: GPU Kernel Programming in Haskell (thesis)

Joel Svensson

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 320 M, nVidia GeForce GTX 480, Package, Thesis

March 13, 2011 by hgpu

GBOOST : A GPU-based tool for detecting gene-gene interactions in genome-wide case control studies

Ling Sing S. Yung, Can Yang, Xiang Wan, Weichuan Yu

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Tags: Bioinformatics, Biology, Genetics, nVidia, nVidia GeForce GTX 285, Package

March 12, 2011 by hgpu

Ocelot: a dynamic optimization framework for bulk-synchronous applications in heterogeneous systems

Gregory F. Diamos, Andrew R. Kerr, Sudhakar Yalamanchili, Nathan Clark

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Tags: Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Package, Programming Languages, PTX

March 9, 2011 by hgpu

Benchmarking GPU and CPU codes for Heisenberg spin glass overrelaxation

M. Bernaschi, G. Parisi, L. Parisi

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Tags: Condensed matter, CUDA, nVidia, nVidia GeForce GTX 480, Package, Physics, Spin Systems, Tesla C1060, Tesla C2050

March 9, 2011 by hgpu

Classical Simulation of Quantum Adiabatic Algorithms using Mathematica on GPUs

Sandra Diaz-Pier, Salvador E. Venegas-Andraca, Jose Luis Gomez-Munoz

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce 8800 GTX, Package, Physics, Quantum Physics, SAT, Symbolic Computation

March 9, 2011 by hgpu

General-purpose molecular dynamics simulations on GPU-based clusters

Christian R. Trott, Lars Winterfeld, Paul S. Crozier

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Tags: Computational Physics, Condensed matter, CUDA, GPU cluster, Materials Science, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, Package, Performance, Physics, Tesla C1060, Tesla S1070

March 8, 2011 by hgpu

Understanding GPU Programming for Statistical Computation: Studies in Massively Parallel Massive Mixtures

Marc A. Suchard, Quanli Wang, Cliburn Chan, Jacob Frelinger, Andrew Cron, Mike West

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Tags: Bayesian, CUDA, Mathematics, nVidia, nVidia GeForce 9600 M GT, nVidia GeForce GTX 285, Package, Statistics, Tesla C1060

March 4, 2011 by hgpu

FluoroSim: A Visual Problem-Solving Environment for Fluorescence Microscopy

Cory W. Quammen, Alvin C. Richardson, Julian Haase, Benjamin D. Harrison, Russell M. Taylor, Kerry S. Bloom

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Tags: Algorithms, Biology, CUDA, Image generation, Microscopy, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package

March 2, 2011 by hgpu

Integrating GPUs as fast co-processors into the existing parallel FE package FEAST

Dominik Goddeke, Christian Becker, Stefan Turek

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Tags: Finite element method, Fluid dynamics, nVidia, nVidia Quadro FX 1400, Package, Partial differential equations, PDEs

March 2, 2011 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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high performance computing on graphics processing units: hgpu.org

Packages

fastHOG – a real-time GPU implementation of HOG

MrBayes on a Graphics Processing Unit

Obsidian: GPU Programming in Haskell

Obsidian: GPU Kernel Programming in Haskell (thesis)

GBOOST : A GPU-based tool for detecting gene-gene interactions in genome-wide case control studies

Ocelot: a dynamic optimization framework for bulk-synchronous applications in heterogeneous systems

Benchmarking GPU and CPU codes for Heisenberg spin glass overrelaxation

Classical Simulation of Quantum Adiabatic Algorithms using Mathematica on GPUs

General-purpose molecular dynamics simulations on GPU-based clusters

Understanding GPU Programming for Statistical Computation: Studies in Massively Parallel Massive Mixtures

FluoroSim: A Visual Problem-Solving Environment for Fluorescence Microscopy

Integrating GPUs as fast co-processors into the existing parallel FE package FEAST

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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