high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Large-scale deep unsupervised learning using graphics processors

Rajat Raina, Anand Madhavan, Andrew Y. Ng

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Tags: Artificial intelligence, Computer science, CUDA, nVidia, nVidia GeForce GTX 280

November 21, 2010 by hgpu

Quantum Chemistry on Graphical Processing Units. 2. Direct Self-Consistent-Field Implementation

Ivan S. Ufimtsev, Todd J. Martinez

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Tags: Chemistry, Computational chemistry, CUDA, Molecular modeling, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280

November 21, 2010 by hgpu

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

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

BioAgent Bench: An AI Agent Evaluation Suite for Bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Large-scale deep unsupervised learning using graphics processors

Quantum Chemistry on Graphical Processing Units. 2. Direct Self-Consistent-Field Implementation

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

Recent source codes

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

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