high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Cooperative Multitasking for GPU-Accelerated Grid Systems

Fumihiko Ino, Akihiro Ogita, Kentaro Oita, Kenichi Hagihara

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Tags: Computer science, CUDA, Grid, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 280

January 3, 2011 by hgpu

An Accelerated 3D Navier-Stokes Solver for Flows in Turbomachines

Tobias Brandvik, Graham Pullan

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Tags: CUDA, Fluid dynamics, GPU cluster, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GT 200

January 2, 2011 by hgpu

Generation of Random Numbers on Graphics Processors: Forced Indentation In Silico of the Bacteriophage HK97

A. Zhmurov, K. Rybnikov, Y. Kholodov, V. Barsegov

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Tags: Biological Physics, Chemical Physics, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Physics, Pseudo-random number generators

January 2, 2011 by hgpu

Multiresolution MIP Rendering of Large Volumetric Data Accelerated on Graphics Hardware

Wladimir J. van der Laan, Andrei Jalba, Jos B. T. M. Roerdink

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce 7900 GTX, OpenGL, Rendering, Visualization

January 2, 2011 by hgpu

Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware

Yong Cao, Debprakash Patnaik, Sean Ponce, Jeremy Archuleta, Patrick Butler, Wu-chun Feng and Naren Ramakrishnan

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Tags: Computer science, CUDA, Data mining, Neuroscience, nVidia, nVidia GeForce GTX 280, Programming techniques

January 2, 2011 by hgpu

Accelerating Euler Equations Numerical Solver on Graphics Processing Units

Pierre Kestener, Frederic Chateau, Romain Teyssier

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Tags: CUDA, Mathematics, Numerical simulation, nVidia, nVidia GeForce 8800 GTX, Tesla S1070

January 2, 2011 by hgpu

Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors

Dominik Scherer, Hannes Schulz, Sven Behnke

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 285

January 2, 2011 by hgpu

Parallel multigrid preconditioning on graphics processing units (GPUs) for robust power grid analysis

Zhuo Feng, Zhiyu Zeng

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Tags: Algorithms, Computational Engineering, Computer science, CUDA, nVidia, nVidia GeForce GTX 285

January 2, 2011 by hgpu

Performing efficient NURBS modeling operations on the GPU

Adarsh Krishnamurthy, Rahul Khardekar, Sara McMains, Kirk Haller, Gershon Elber

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Tags: Algorithms, Computer science, Image generation, nVidia, nVidia Quadro FX 4500, Visualization

January 2, 2011 by hgpu

GPU Color Constancy

Marc Ebner

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Tags: Algorithms, Computer vision, GLSL, Image processing, OpenGL

December 29, 2010 by hgpu

Wrinkling Coarse Meshes on the GPU

Jorn Loviscach

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Tags: 3D Graphics and Realism, Algorithms, Computer science, DirectX, HLSL, nVidia, nVidia GeForce 6800 GT, Visualization

December 29, 2010 by hgpu

Source-to-Source Optimization of CUDA C for GPU Accelerated Cardiac Cell Modeling

Fred V. Lionetti, Andrew D. McCulloch, Scott B. Baden

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Tags: Computational biology, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 295, Optimization

December 29, 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

Cooperative Multitasking for GPU-Accelerated Grid Systems

An Accelerated 3D Navier-Stokes Solver for Flows in Turbomachines

Generation of Random Numbers on Graphics Processors: Forced Indentation In Silico of the Bacteriophage HK97

Multiresolution MIP Rendering of Large Volumetric Data Accelerated on Graphics Hardware

Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware

Accelerating Euler Equations Numerical Solver on Graphics Processing Units

Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors

Parallel multigrid preconditioning on graphics processing units (GPUs) for robust power grid analysis

Performing efficient NURBS modeling operations on the GPU

GPU Color Constancy

Wrinkling Coarse Meshes on the GPU

Source-to-Source Optimization of CUDA C for GPU Accelerated Cardiac Cell Modeling

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)