Graph theory | Page 8

hgpu.org » Graph theory

Skeleton-based edge bundling for graph visualization

Ozan Ersoy, Christophe Hurter, Fernando V. Paulovich, Gabriel Cantareira, Alexandru Telea

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Tags: Clustering, Computer science, Graph theory, nVidia, nVidia GeForce GT 330 M, OpenGL, Visualization

December 25, 2012 by hgpu

Regularity versus Load-Balancing on GPU for treefix computations

David Defour, Manuel Marin

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Tags: Computer science, Graph theory, nVidia, nVidia GeForce GTX 670, OpenCL

December 25, 2012 by hgpu

All-Pairs Shortest Path Algorithms Using CUDA

Jeremy Mark Kemp

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 470, Path problems, Thesis

November 6, 2012 by hgpu

GPU-based Batched Spatial Query Processing on R-Trees

Simin You, Jianting Zhang

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Tags: Computer science, CUDA, Databases, Graph theory, nVidia, nVidia Quadro FX 6000

October 18, 2012 by hgpu

Mean shift for graph bundling

Ozan Ersoy, Christophe Hurter, Alexandru Telea

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Tags: Computer science, Graph theory, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 580, OpenGL

October 13, 2012 by hgpu

GPGPU accelerated optimization method of Interconnection Network Topology

Vladimir Siladi, Ladislav Huraj, Michal Povinsky

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Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce 9800 GT, Optimization

October 6, 2012 by hgpu

Medusa: Simplified Graph Processing on GPUs

Jianlong Zhong, Bingsheng He

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Source codes

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Optimization, Performance, Tesla C2050

September 12, 2012 by hgpu

GPU Acceleration of Many Independent Mid-Sized Simulations on Graphs

Dustin Arendt

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Tags: Cellular automata, Computer science, Graph theory, nVidia, nVidia GeForce 9400 M, OpenCL, Path problems

August 31, 2012 by hgpu

Parallelizing flow-accumulation calculations on graphics processing units – From iterative DEM preprocessing algorithm to recursive multiple-flow-direction algorithm

Cheng-Zhi Qin, Lijun Zhan

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Tags: CUDA, Earth and Space Sciences, Geoscience, Graph theory, nVidia, nVidia GeForce GT 330

August 2, 2012 by hgpu

Efficient Implementation of the CPR Formulation for the Navier-Stokes Equations on GPUs

Malte Hoffmann, Claus-Dieter Munz, Z. J. Wang

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Tags: Algorithms, CUDA, Fluid dynamics, Graph theory, Navier-Stokes equations, NSEs, nVidia, Tesla C2050

July 26, 2012 by hgpu

A Yoke of Oxen and a Thousand Chickens for Heavy Lifting Graph Processing

Abdullah Gharaibeh, Lauro Beltrao Costa, Elizeu Santos-Neto, Matei Ripeanu

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Tags: Computer science, CUDA, Graph theory, Heterogeneous systems, nVidia, Optimization, Performance, Programming Languages, Programming techniques, Tesla C2050

July 16, 2012 by hgpu

Towards a GPU-based Implementation of Interaction Nets

Eugen Jiresch

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Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 460, Package

June 20, 2012 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

Skeleton-based edge bundling for graph visualization

Regularity versus Load-Balancing on GPU for treefix computations

All-Pairs Shortest Path Algorithms Using CUDA

GPU-based Batched Spatial Query Processing on R-Trees

Mean shift for graph bundling

GPGPU accelerated optimization method of Interconnection Network Topology

Medusa: Simplified Graph Processing on GPUs

GPU Acceleration of Many Independent Mid-Sized Simulations on Graphs

Parallelizing flow-accumulation calculations on graphics processing units – From iterative DEM preprocessing algorithm to recursive multiple-flow-direction algorithm

Efficient Implementation of the CPR Formulation for the Navier-Stokes Equations on GPUs

A Yoke of Oxen and a Thousand Chickens for Heavy Lifting Graph Processing

Towards a GPU-based Implementation of Interaction Nets

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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