high performance computing on graphics processing units: hgpu.org

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Using modern graphics architectures for general-purpose computing: a framework and analysis

Chris J. Thompson, Sahngyun Hahn, Mark Oskin

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Tags: Computer science, nVidia, nVidia GeForce 4, OpenGL

November 24, 2010 by hgpu

Physically-based visual simulation on graphics hardware

Mark J. Harris, Greg Coombe, Thorsten Scheuermann, Anselmo Lastra

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Tags: Cellular automata, Computer science, Fluid simulation, nVidia, nVidia GeForce 3, nVidia GeForce 4, OpenGL

November 24, 2010 by hgpu

Fast volumetric deformation on general purpose hardware

C. Rezk Salama, M. Scheuering, G. Soza, G. Greiner

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Image generation, nVidia, nVidia GeForce 2, OpenGL, Shaders

November 24, 2010 by hgpu

A real-time procedural shading system for programmable graphics hardware

Kekoa Proudfoot, William R. Mark, Svetoslav Tzvetkov, Pat Hanrahan

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 3, OpenGL, Rendering, Shaders

November 24, 2010 by hgpu

High-quality pre-integrated volume rendering using hardware-accelerated pixel shading

Klaus Engel, Martin Kraus, Thomas Ertl

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Tags: 3D Graphics and Realism, Computer science, Image generation, nVidia, nVidia GeForce 3, OpenGL, Rendering, Shaders, Visualization

November 24, 2010 by hgpu

Fast matrix multiplies using graphics hardware

E. Scott Larsen, David Mcallister

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Tags: Computer science, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce 3, OpenGL

November 24, 2010 by hgpu

A practical and robust bump-mapping technique for today’s GPU’s

M. Kilgard

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Tags: Algorithms, Computer science, nVidia, OpenGL, Shaders, Visualization

November 24, 2010 by hgpu

Comparing GPU-based multi-volume ray casting techniques

Nicole Schubert, Ingrid Scholl

Tags: Computer science, CUDA, nVidia, Rendering, Visualization

November 24, 2010 by hgpu

Performance modeling and automatic ghost zone optimization for iterative stencil loops on GPUs

Jiayuan Meng, Kevin Skadron

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

November 23, 2010 by hgpu

Many-core algorithms for statistical phylogenetics

Marc A. Suchard, Andrew Rambaut

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Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia, nVidia GeForce GTX 280

November 23, 2010 by hgpu

Synergistic execution of stream programs on multicores with accelerators

Abhishek Udupa, R. Govindarajan, Matthew J. Thazhuthaveetil

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTS, Package

November 23, 2010 by hgpu

Graphical Asian Options

Mark Joshi

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Tags: Asia options, CUDA, Finance, Monte Carlo simulation, nVidia, nVidia Quadro FX 4600

November 23, 2010 by hgpu

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

nvsass-disassembler

Automated Instruction Encoding Synthesis for Modern GPU ISA Compression

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

EinsummableV3 - graph-based computation with tensor operations support

Every Kernel Is a Join: Automatic Multi-GPU Parallelism for AI Computations in Einsummable

MaxKernel: Intelligent TPU Kernel Engineering Agents

MaxKernel: Agentic Kernel Generation for TPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Using modern graphics architectures for general-purpose computing: a framework and analysis

Physically-based visual simulation on graphics hardware

Fast volumetric deformation on general purpose hardware

A real-time procedural shading system for programmable graphics hardware

High-quality pre-integrated volume rendering using hardware-accelerated pixel shading

Fast matrix multiplies using graphics hardware

A practical and robust bump-mapping technique for today’s GPU’s

Comparing GPU-based multi-volume ray casting techniques

Performance modeling and automatic ghost zone optimization for iterative stencil loops on GPUs

Many-core algorithms for statistical phylogenetics

Synergistic execution of stream programs on multicores with accelerators

Graphical Asian Options

Recent source codes

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

nvsass-disassembler

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

EinsummableV3 - graph-based computation with tensor operations support

MaxKernel: Intelligent TPU Kernel Engineering Agents

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