high performance computing on graphics processing units: hgpu.org

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Visualization of Astronomical Nebulae via Distributed Multi-GPU Compressed Sensing Tomography

Stephan Wenger, Marco Ament, Stefan Guthe, Dirk Lorenz, Andreas Tillmann, Daniel Weiskopf, Marcus Magnor

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Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 480, Rendering, Sensing, Tomography, Visualization

August 6, 2012 by hgpu

Remote GPU-Accelerated Online Pre-processing of Raster Maps for Terrain Rendering

Rolf Westerteiger, Fang Chen, Andreas Gerndt, Bernd Hamann, Hans Hagen

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 6000, Rendering, Sensing, Visualization

July 25, 2012 by hgpu

Coupling between Meshless FEM Modeling and Rendering on GPU for Real-time Physically-based Volumetric Deformation

Muhammad Mobeen Movania, Feng Lin, Kemao Qian, Wei Ming Chiew, Hock Soon Seah

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Tags: Algorithms, Computer science, FEM, Finite element method, GLSL, nVidia, nVidia Quadro FX 5800, OpenGL, Real-time graphics, Rendering

July 15, 2012 by hgpu

A Survey of Cloud Lighting and Rendering Techniques

Roland Hufnagel, Martin Held

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Tags: 3D Graphics and Realism, Computer science, Rendering, Review, Visualization

July 14, 2012 by hgpu

Exposure Render: An Interactive Photo-Realistic Volume Rendering Framework

Thomas Kroes, Frits H. Post, Charl P. Botha

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Package, Raytracing, Rendering, Visualization

July 10, 2012 by hgpu

Interactive BRDF Estimation for Mixed-Reality Applications

Martin Knecht, Georg Tanzmeister, Christoph Traxler, Michael Wimmer

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Tags: Augmented reality, Computer science, DirectX, nVidia, nVidia GeForce GTX 580, Rendering

July 8, 2012 by hgpu

Parallel Rendering on Hybrid Multi-GPU Clusters

S. Eilemann, A. Bilgili, M. Abdellah, J. Hernando, M. Makhinya, R. Pajarola, F. Schurmann

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Tags: 3D Graphics and Realism, Computer science, GPU cluster, nVidia, nVidia GeForce GTX 580, OpenGL, Optimization, Rendering, Visualization

June 19, 2012 by hgpu

S-buffer: Sparsity-aware Multi-fragment Rendering

Andreas A. Vasilakis, Ioannis Fudos

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Tags: Computer science, nVidia, nVidia GeForce GTX 480, OpenCL, OpenGL, Package, Rendering

June 10, 2012 by hgpu

COVRA: A compression-domain output-sensitive volume rendering architecture based on a sparse representation of voxel blocks

Enrico Gobbetti, Jose Antonio Iglesias Guitian, Fabio Marton

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Tags: 3D Graphics and Realism, Algorithms, Compression, Computer science, Filtering, Image generation, nVidia, nVidia GeForce GTX 560, OpenGL, Rendering

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

High Performance Monte Carlo and Time-Stepping Dynamics for the Classical Spin Heisenberg Model on GPUs

K.A. Hawick, D.P. Playne

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Tags: Algorithms, CUDA, Heisenberg model, Monte Carlo simulation, nVidia, Physics, Rendering, Stochastic simulation

May 19, 2012 by hgpu

Implementation and Optimization of Image Processing Algorithms on Embedded GPU

Nitin Singhal, Jin Woo Yoo, Ho Yeol Choi, In Kyu Park

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Tags: Algorithms, ARM, Computer vision, Image processing, OpenGL, Optimization, Rendering

May 7, 2012 by hgpu

MSCCL++: A GPU-driven communication stack for scalable AI applications

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

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high performance computing on graphics processing units: hgpu.org

Visualization of Astronomical Nebulae via Distributed Multi-GPU Compressed Sensing Tomography

Remote GPU-Accelerated Online Pre-processing of Raster Maps for Terrain Rendering

Coupling between Meshless FEM Modeling and Rendering on GPU for Real-time Physically-based Volumetric Deformation

A Survey of Cloud Lighting and Rendering Techniques

Exposure Render: An Interactive Photo-Realistic Volume Rendering Framework

Interactive BRDF Estimation for Mixed-Reality Applications

Parallel Rendering on Hybrid Multi-GPU Clusters

S-buffer: Sparsity-aware Multi-fragment Rendering

COVRA: A compression-domain output-sensitive volume rendering architecture based on a sparse representation of voxel blocks

Explicit Cache Management for Volume Ray-Casting on Parallel Architectures

High Performance Monte Carlo and Time-Stepping Dynamics for the Classical Spin Heisenberg Model on GPUs

Implementation and Optimization of Image Processing Algorithms on Embedded GPU

Recent source codes

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

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