high performance computing on graphics processing units: hgpu.org

hgpu.org » Graph theory

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

Online Dynamic Graph Drawing

Yaniv Frishman, Ayellet Tal

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Tags: Cg, Computer science, Graph theory, nVidia, nVidia GeForce 7900 GS, nVidia GeForce 8800 GTS, OpenGL, Visualization

December 11, 2010 by hgpu

Parallel SimRank computation on large graphs with iterative aggregation

Guoming He, Haijun Feng, Cuiping Li, Hong Chen

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Tags: Computer science, CUDA, Data mining, Graph theory, nVidia, nVidia GeForce 9600 GT

December 6, 2010 by hgpu

Exploiting graphical processing units for data-parallel scientific applications

A. Leist, D. P. Playne, K. A. Hawick

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Tags: Computer science, CUDA, Field equations, Graph theory, nVidia, nVidia GeForce 8800 GTS

November 27, 2010 by hgpu

Fast minimum spanning tree for large graphs on the GPU

Vibhav Vineet, Pawan Harish, Suryakant Patidar, P. J. Narayanan

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla S1070

November 25, 2010 by hgpu

Efficient partitioning of fragment shaders for multipass rendering on programmable graphics hardware

Eric Chan, Ren Ng, Pradeep Sen, Kekoa Proudfoot, Pat Hanrahan

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Tags: ATI, ATI Radeon 8500, Computer science, Graph theory, OpenGL, Rendering, Shaders

November 24, 2010 by hgpu

Parallel Graph Component Labelling with GPUs and CUDA

K. A. Hawick, A. Leist, D. P. Playne

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Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 260

November 9, 2010 by hgpu

Accelerated regular grid traversals using extended anisotropic chessboard distance fields on a parallel stream processor

Alphan Es, Veysi Icsler

Tags: Computer science, Graph theory, Raytracing, Rendering

November 4, 2010 by hgpu

Accelerating Large Graph Algorithms on the GPU Using CUDA

Pawan Harish, P. Narayanan

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

October 28, 2010 by hgpu

All-pairs shortest-paths for large graphs on the GPU

Gary J. Katz, Joseph T. Kider

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Tags: CUDA, Graph theory, Mathematics, nVidia, nVidia Quadro FX 5600

October 28, 2010 by hgpu

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

Data Parallel Visualization and Rendering on the RAMSES Supercomputer with ANARI

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

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

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

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high performance computing on graphics processing units: hgpu.org

Rapid Multipole Graph Drawing on the GPU

Online Dynamic Graph Drawing

Parallel SimRank computation on large graphs with iterative aggregation

Exploiting graphical processing units for data-parallel scientific applications

Fast minimum spanning tree for large graphs on the GPU

Efficient partitioning of fragment shaders for multipass rendering on programmable graphics hardware

Parallel Graph Component Labelling with GPUs and CUDA

Accelerated regular grid traversals using extended anisotropic chessboard distance fields on a parallel stream processor

Accelerating Large Graph Algorithms on the GPU Using CUDA

All-pairs shortest-paths for large graphs on the GPU

Recent source codes

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

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

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

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