Graph theory | Page 12

hgpu.org » Graph theory

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

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

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

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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