high performance computing on graphics processing units: hgpu.org

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GPGPU: general purpose computation on graphics hardware

David Luebke, Mark Harris, Jens Krüger, Tim Purcell, Naga Govindaraju, Ian Buck, Cliff Woolley, Aaron Lefohn

Tags: Computer science, Review

November 1, 2010 by hgpu

A GPU accelerated storage system

Abdullah Gharaibeh, Samer A. Kiswany, Sathish Gopalakrishnan, Matei Ripeanu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8600, nVidia GeForce 8800 GT, nVidia GeForce 9800 GX2, Performance, Storage system

November 1, 2010 by hgpu

OpenVIDIA: parallel GPU computer vision

James Fung, Steve Mann

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Tags: Chirplet transform, Computer vision, Image processing, Mediated reality, nVidia, nVidia GeForce FX 5200, OpenGL, Package

November 1, 2010 by hgpu

Real-time particle systems on the GPU in dynamic environments

Shannon Drone

Tags: Computer science, Particle simulation, Real-time graphics

November 1, 2010 by hgpu

GPU-ClustalW: Using Graphics Hardware to Accelerate Multiple Sequence Alignment

Weiguo Liu, Bertil Schmidt, Gerrit Voss, Wolfgang Müller-Wittig

Tags: Bioinformatics, Biology, Computational biology, Computer science, Sequence alignment

November 1, 2010 by hgpu

GPU Simulation and Rendering of Volumetric Effects for Computer Games and Virtual Environments

Jens Kruger, Rudiger Westermann

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Tags: 3D Graphics and Realism, ATI, ATI Radeon X800 XT, Computer science, Numerical simulation, nVidia, nVidia GeForce 6800 GT, OpenGL, Raytracing, Rendering

November 1, 2010 by hgpu

Fast parallel Particle-To-Grid interpolation for plasma PIC simulations on the GPU

G. Stantchev, W. Dorland, N. Gumerov

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Tags: Computer science, CUDA, Numerical simulation, nVidia, Particle-in-cell methods, Plasma physics

November 1, 2010 by hgpu

GPU Accelerated Smith-Waterman

Yang Liu, Wayne Huang, John Johnson, Sheila Vaidya

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Tags: Bioinformatics, Biology, Computational biology, Computer science, GLSL, nVidia, nVidia GeForce 7800 GTX, OpenGL, Smith-Waterman algorithm

November 1, 2010 by hgpu

CUDA-Lite: Reducing GPU programming complexity

Sain-zee Ueng, Melvin Lathara, Sara S. Baghsorkhi, Wen-mei W. Hwu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Programming techniques

November 1, 2010 by hgpu

Program optimization space pruning for a multithreaded gpu

Shane Ryoo, Christopher I. Rodrigues, Sam S. Stone, Sara S. Baghsorkhi, Sain Z. Ueng, John A. Stratton, Wen mei

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Performance, Programming techniques

November 1, 2010 by hgpu

Interactive, GPU-Based Level Sets for 3D Segmentation

Aaron Lefohn, Joshua Cates, Ross Whitaker

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Tags: ATI, ATI Radeon 9700 Pro, Image processing, Medicine, OpenGL

November 1, 2010 by hgpu

High-throughput sequence alignment using Graphics Processing Units

Michael Schatz, Cole Trapnell, Arthur Delcher, Amitabh Varshney

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Source codes

Tags: Bioinformatics, Biology, Computational biology, CUDA, nVidia, nVidia GeForce 8800 GTX, Package, Sequence alignment

November 1, 2010 by hgpu

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials

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high performance computing on graphics processing units: hgpu.org

Applications

GPGPU: general purpose computation on graphics hardware

A GPU accelerated storage system

OpenVIDIA: parallel GPU computer vision

Real-time particle systems on the GPU in dynamic environments

GPU-ClustalW: Using Graphics Hardware to Accelerate Multiple Sequence Alignment

GPU Simulation and Rendering of Volumetric Effects for Computer Games and Virtual Environments

Fast parallel Particle-To-Grid interpolation for plasma PIC simulations on the GPU

GPU Accelerated Smith-Waterman

CUDA-Lite: Reducing GPU programming complexity

Program optimization space pruning for a multithreaded gpu

Interactive, GPU-Based Level Sets for 3D Segmentation

High-throughput sequence alignment using Graphics Processing Units

Recent source codes

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

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