high performance computing on graphics processing units: hgpu.org

Xavier Andrade, Joseba Alberdi-Rodriguez, David A. Strubbe, Micael J. T. Oliveira, Fernando Nogueira, Alberto Castro, Javier Muguerza, Agustin Arruabarrena, Steven G. Louie, Alan Aspuru-Guzik, Angel Rubio, Miguel A. L. Marques

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Tags: ATI, ATI Radeon HD 5870, Data parallelism, Density-functional theory, nVidia, nVidia GeForce GTX 480, OpenCL, Optimization, Package, Physics, Tesla M2090

May 29, 2012 by hgpu

Explicit Cache Management for Volume Ray-Casting on Parallel Architectures

Daniel Jonsson, Per Ganestam, Anders Ynnerman, Michael Doggett, Timo Ropinski

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 570, OpenCL, Package, Rendering

May 29, 2012 by hgpu

Parameterized Verification of GPU Kernel Programs

Guodong Li, Ganesh Gopalakrishnan

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Tags: Computer science, CUDA, nVidia, Optimization

May 26, 2012 by hgpu

Parallel Parametric Optimisation with Firefly Algorithms on Graphical Processing Units

A.V. Husselmann, K.A. Hawick

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Optimization

May 26, 2012 by hgpu

Routine Microsecond Molecular Dynamics Simulations with AMBER on GPUs. 1. Generalized Born

Andreas W. Gotz, Mark J. Williamson, Dong Xu, Duncan Poole, Scott Le Grand, Ross C. Walker

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Tags: Algorithms, Chemistry, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 580, Tesla C1060, Tesla C2070, Tesla M2090

May 26, 2012 by hgpu

Fast and accurate digital signal processing realized with GPGPU technology

Adam Dabrowski, Pawel Pawlowski, Mateusz Stankiewicz, Filip Misiorek

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Tags: CUDA, nVidia, nVidia Quadro FX 2000, nVidia Quadro FX 580, Signal processing

May 26, 2012 by hgpu

Parallelization of the Local Threshold and Boolean Function Based Edge Detection Algorithm Using CUDA

Raka Jovanovic, Milan Tuba, Dana Simian

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 540 M

May 26, 2012 by hgpu

Using Compute Unified Device Architecture (CUDA) in Parallelizing Different Digital Image Processing Techniques

Mikaela Nadinne A. Silapan

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GT 520 M

May 25, 2012 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

CUDA Implementation of Parallel Algorithms for Animal Noseprint Identification

A fight for performance and accuracy of the matrix multiplication routines: CUBLAS on Nvidia Tesla versus MKL and ATLAS on Intel Nehalem

Using OpenCL to Calculate a Pressure Field

Massively Parallel Neural Encoding and Decoding of Visual Stimuli

Time-dependent density-functional theory in massively parallel computer architectures: the OCTOPUS project

Explicit Cache Management for Volume Ray-Casting on Parallel Architectures

Parameterized Verification of GPU Kernel Programs

Parallel Parametric Optimisation with Firefly Algorithms on Graphical Processing Units

Routine Microsecond Molecular Dynamics Simulations with AMBER on GPUs. 1. Generalized Born

Fast and accurate digital signal processing realized with GPGPU technology

Parallelization of the Local Threshold and Boolean Function Based Edge Detection Algorithm Using CUDA

Using Compute Unified Device Architecture (CUDA) in Parallelizing Different Digital Image Processing Techniques

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

Most viewed papers (last 30 days)