high performance computing on graphics processing units: hgpu.org

Programming

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Density-based clustering using graphics processors

Christian Bohm, Robert Noll, Claudia Plant, Bianca Wackersreuther

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Tags: Computer science, CUDA, Data mining, Databases, nVidia, nVidia GeForce GTX 280

November 21, 2010 by hgpu

Non-local means denoising algorithm accelerated by GPU

K. Huang, D. Zhang, K. Wang

Tags: Algorithms, Image processing

November 21, 2010 by hgpu

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

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

Efficient evaluation methods of elementary functions suitable for SIMD computation

Naoki Shibata

Tags: Algorithms, Computer science, Elementary functions

November 20, 2010 by hgpu

Perceptual enhancement of two-level volume rendering

Andrew Corcoran, Niall Redmond, John Dingliana

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Tags: Algorithms, Computer science, Medicine, Rendering, Visualization

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

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

Can Large Language Models Predict Parallel Code Performance?

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

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

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

Programming

Density-based clustering using graphics processors

Non-local means denoising algorithm accelerated by GPU

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

Interactive fluid-particle simulation using translating Eulerian grids

Efficient evaluation methods of elementary functions suitable for SIMD computation

Perceptual enhancement of two-level volume rendering

Real-time adaptive fluid simulation with complex boundaries

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

Recent source codes

Can Large Language Models Predict Parallel Code Performance?

CFAL-bench

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

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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