high performance computing on graphics processing units: hgpu.org

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Parallel latent semantic analysis using a graphics processing unit

Joseph M. Cavanagh, Thomas E. Potok, Xiaohui Cui

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, Text mining

November 21, 2010 by hgpu

Using Graphics Processors for High-Performance Computation and Visualization of Plasma Turbulence

George Stantchev, Derek Juba, William Dorland, Amitabh Varshney

Tags: CUDA, nVidia, Physics, Plasma physics

November 21, 2010 by hgpu

Using graphics processors for high performance IR query processing

Shuai Ding, Jinru He, Hao Yan, Torsten Suel

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Search

November 21, 2010 by hgpu

MSA-CUDA: Multiple Sequence Alignment on Graphics Processing Units with CUDA

Yongchao Liu, Bertil Schmidt, Douglas L. Maskell

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 280, Sequence alignment

November 21, 2010 by hgpu

A novel multiple-walk parallel algorithm for the Barnes-Hut treecode on GPUs – towards cost effective, high performance N-body simulation

Tsuyoshi Hamada, Keigo Nitadori, Khaled Benkrid, Yousuke Ohno, Gentaro Morimoto, Tomonari Masada, Yuichiro Shibata, Kiyoshi Oguri, Makoto Taiji

Tags: Algorithms, Computer science, CUDA, GPU cluster, N-body simulation, nVidia, nVidia GeForce 8800 GTS

November 20, 2010 by hgpu

GPGPU computation and visualization of three-dimensional cellular automata

Stephane Gobron, Arzu Coltekin, Herve Bonafos and Daniel Thalmann

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Tags: Cellular automata, Computer science, Medicine, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package, Visualization

November 20, 2010 by hgpu

Curling and clumping fur represented by texture layers

Paulo Silva, Yosuke Bando, Bing-Yu Chen, Tomoyuki Nishita

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 8800 GTS

November 20, 2010 by hgpu

Interactive fluid-particle simulation using translating Eulerian grids

Jonathan M. Cohen, Sarah Tariq, Simon Green

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 285, Rendering

November 20, 2010 by hgpu

Real-time computation of photic extremum lines (PELs)

Long Zhang, Ying He, Hock-Soon Seah

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Tags: 3D Graphics and Realism, Cg, Computer science, nVidia, nVidia GeForce GTX 285

November 20, 2010 by hgpu

Real-time adaptive fluid simulation with complex boundaries

Jian He, Xi Chen, Zhangye Wang, Chen Cao, He Yan, Qunsheng Peng

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Tags: Cg, CUDA, Fluid dynamics, Fluid-boundary interaction, nVidia, nVidia GeForce GTX 280

November 20, 2010 by hgpu

Patient-Specific Non-Linear Finite Element Modelling for Predicting Soft Organ Deformation in Real-Time; Application to Non-Rigid Neuroimage Registration

Adam Wittek, Grand Joldes, Mathieu Couton, Simon K. Warfield, Karol Miller

Tags: Biology, Medicine, nVidia, Surgical simulation, Tesla C870

November 20, 2010 by hgpu

Regular Lattice and Small-World Spin Model Simulations Using CUDA and GPUs

K. Hawick, A. Leist, D. Playne

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Tags: CUDA, High Energy Physics - Lattice, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, Physics

November 20, 2010 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Parallel latent semantic analysis using a graphics processing unit

Using Graphics Processors for High-Performance Computation and Visualization of Plasma Turbulence

Using graphics processors for high performance IR query processing

MSA-CUDA: Multiple Sequence Alignment on Graphics Processing Units with CUDA

A novel multiple-walk parallel algorithm for the Barnes-Hut treecode on GPUs – towards cost effective, high performance N-body simulation

GPGPU computation and visualization of three-dimensional cellular automata

Curling and clumping fur represented by texture layers

Interactive fluid-particle simulation using translating Eulerian grids

Real-time computation of photic extremum lines (PELs)

Real-time adaptive fluid simulation with complex boundaries

Patient-Specific Non-Linear Finite Element Modelling for Predicting Soft Organ Deformation in Real-Time; Application to Non-Rigid Neuroimage Registration

Regular Lattice and Small-World Spin Model Simulations Using CUDA and GPUs

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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