high performance computing on graphics processing units: hgpu.org

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Tabu Search on GPU

Adam Janiak, Wladyslaw A. Janiak, Maciej Lichtenstein

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Tags: Algorithms, Computer science, DirectX, HLSL, nVidia, nVidia GeForce 7300 GT, nVidia GeForce 8600 GT, Search

December 23, 2010 by hgpu

Real-Time Weighted Pose-Space Deformation on the GPU

Taehyun Rhee, John P. Lewis, Ulrich Neumann

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

December 23, 2010 by hgpu

GPU Rendering of Secondary Effects

Kai Burger, Stefan Hertel, Jens Kruger, Rudiger Westermann

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Tags: 3D Graphics and Realism, Algorithms, Computer science, DirectX, nVidia, nVidia GeForce 8800 GTX, Rendering

December 22, 2010 by hgpu

A GPU based interactive modeling approach to designing fine level features

Xin Huang, Sheng Li, Guoping Wang

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

December 22, 2010 by hgpu

Concurrent Number Cruncher: An Efficient Sparse Linear Solver on the GPU

Luc Buatois, Guillaume Caumon, Bruno Levy

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Tags: 3D Graphics and Realism, ATI, ATI Radeon X1900, Computer science, Linear Algebra, OpenGL, Sparse matrix

December 22, 2010 by hgpu

Parallel Branch Prediction on GPU Platform

Liqiang He, Guangyong Zhang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9600 GT, Programming techniques

December 22, 2010 by hgpu

Generating massive high-quality random numbers using GPU

Wai-Man Pang, Tien-Tsin Wong, Pheng-Ann Heng

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Tags: Algorithms, Cg, Computer science, nVidia, nVidia GeForce 7800 GTX, Pseudo-random number generators

December 22, 2010 by hgpu

Pushing the Envelope: Extreme Network Coding on the GPU

Hassan Shojania, Baochun Li

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

December 22, 2010 by hgpu

Rapid Multipole Graph Drawing on the GPU

Apeksha Godiyal, Jared Hoberock, Michael Garland, John C. Hart

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Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce 8800 GTX, Visualization

December 22, 2010 by hgpu

Implementing mesh-based approaches for deformable objects on GPU

Guido Ranzuglia, Paolo Cignoni, Fabio Ganovelli, Roberto Scopign

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Tags: Computer science, nVidia, nVidia GeForce 6800 GT, OpenGL, Rendering

December 21, 2010 by hgpu

MIMD Interpretation on a GPU

Henry G. Dietz, B. Dalton Young

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Tags: Algorithms, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GTS, nVidia GeForce 9800 GT, nVidia GeForce GTX 280

December 21, 2010 by hgpu

GPU Acceleration of Iterative Clustering

Jesse D. Hall, John C. Hart

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce FX 5900 Ultra, OpenGL, Programming techniques

December 21, 2010 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

Applications

Tabu Search on GPU

Real-Time Weighted Pose-Space Deformation on the GPU

GPU Rendering of Secondary Effects

A GPU based interactive modeling approach to designing fine level features

Concurrent Number Cruncher: An Efficient Sparse Linear Solver on the GPU

Parallel Branch Prediction on GPU Platform

Generating massive high-quality random numbers using GPU

Pushing the Envelope: Extreme Network Coding on the GPU

Rapid Multipole Graph Drawing on the GPU

Implementing mesh-based approaches for deformable objects on GPU

MIMD Interpretation on a GPU

GPU Acceleration of Iterative Clustering

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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