high performance computing on graphics processing units: hgpu.org

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Biomolecular electrostatics using a fast multipole BEM on up to 512 GPUs and a billion unknowns

Rio Yokota, Jaydeep P. Bardhan, Matthew G. Knepley, L. A. Barba, Tsuyoshi Hamada

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Tags: Chemical Physics, Computational Physics, Computer science, CUDA, Electrostatics, Fast multipole method, Integral equations, nVidia, nVidia GeForce GTX 295, Package

February 14, 2011 by hgpu

Copperhead: Compiling an embedded data parallel language

Bryan Catanzaro, Michael Garland and Kurt Keutzer

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Tags: Code generation, Compilers, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 480, Package

February 13, 2011 by hgpu

Efficient Sparse Voxel Octrees – Analysis, Extensions, and Implementation

Samuli Laine, Tero Karras

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Package, Rendering

February 12, 2011 by hgpu

Efficient sparse voxel octrees

Samuli Laine, Tero Karras

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Package, Rendering

February 12, 2011 by hgpu

Fast computing of scattering maps of nanostructures using graphical processing units

Vincent Favre-Nicolin, Johann Coraux, Marie-Ingrid Richard, Hubert Renevier

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Tags: Condensed matter, CUDA, Materials Science, Mesoscale and Nanoscale Physics, nVidia, nVidia GeForce GTX 295, Package, Physics, Python

February 11, 2011 by hgpu

Accelerating the solution of families of shifted linear systems with CUDA

Richard Galvez, Greg van Anders

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, Package, Physics, Tesla S1070, Tesla T10

February 11, 2011 by hgpu

Interpretive OpenGL for computer graphics

B. Chen, H. Cheng

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Tags: 3D Graphics and Realism, Computer science, OpenGL, Package

February 10, 2011 by hgpu

Precomputed Atmospheric Scattering

Eric Bruneton, Fabrice Neyret

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Tags: 3D Graphics and Realism, Computer science, GLSL, nVidia, nVidia GeForce 8800 GTS, OpenGL, Package, Rendering

February 10, 2011 by hgpu

Cg: a system for programming graphics hardware in a C-like language

William R. Mark, R. Steven Glanville, Kurt Akeley, Mark J. Kilgard

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Tags: 3D Graphics and Realism, Cg, Code generation, Compilers, Computer science, High-level Languages, nVidia, Package, Review

February 10, 2011 by hgpu

Next-generation acceleration and code optimization for light transport in turbid media using GPUs

Erik Alerstam, William C. Yip Lo, Tianyi D. Han, Jonathan Rose, Stefan Andersson-Engels, Lothar Lilge

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Tags: Biology, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Optics, Package

February 9, 2011 by hgpu

Scalable SMT-based verification of GPU kernel functions

Guodong Li, Ganesh Gopalakrishnan

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Tags: Computer science, CUDA, nVidia, Package, Software Engineering

February 9, 2011 by hgpu

Real-time Spatiotemporal Stereo Matching Using the Dual-Cross-Bilateral Grid

Christian Richardt, Douglas Orr, Ian Davies, Antonio Criminisi and Neil A. Dodgson

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia Quadro FX 5800, Package

February 7, 2011 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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

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high performance computing on graphics processing units: hgpu.org

Packages

Biomolecular electrostatics using a fast multipole BEM on up to 512 GPUs and a billion unknowns

Copperhead: Compiling an embedded data parallel language

Efficient Sparse Voxel Octrees – Analysis, Extensions, and Implementation

Efficient sparse voxel octrees

Fast computing of scattering maps of nanostructures using graphical processing units

Accelerating the solution of families of shifted linear systems with CUDA

Interpretive OpenGL for computer graphics

Precomputed Atmospheric Scattering

Cg: a system for programming graphics hardware in a C-like language

Next-generation acceleration and code optimization for light transport in turbid media using GPUs

Scalable SMT-based verification of GPU kernel functions

Real-time Spatiotemporal Stereo Matching Using the Dual-Cross-Bilateral Grid

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

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

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