high performance computing on graphics processing units: hgpu.org

hgpu.org » Graph theory

Uncluttering Graph Layouts Using Anisotropic Diffusion and Mass Transport

Yaniv Frishman, Ayellet Tal

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

June 27, 2011 by hgpu

CUDA Accelerated LTL Model Checking

Jiri Barnat, Lubos Brim, Milan Ceska, Tomas Lamr

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 280

June 1, 2011 by hgpu

GPU-Based Fast Minimum Spanning Tree Using Data Parallel Primitives

Wei Wang, Shaozhong Guo, Fan Yang, Jianxun Chen

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

March 28, 2011 by hgpu

Two improved GPU acceleration strategies for force-directed graph layout

Wang Yong-Xian, Li Zong-Zhe, Yao Lu, Cao Wei, Wang Zheng-Hua

Tags: Computer science, Graph theory, nVidia, nVidia GeForce 9800 GT, Visualization

March 28, 2011 by hgpu

Exploiting Parallelism in Iterative Irregular Maxflow Computations on GPU Accelerators

S. Solomon, P. Thulasiraman, R.K. Thulasiram

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

March 27, 2011 by hgpu

A fast GPU algorithm for graph connectivity

Jyothish Soman, Kothapalli Kishore, P. J. Narayanan

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla C1060

March 14, 2011 by hgpu

Designing scalable many-core parallel algorithms for min graphs using CUDA

Quoc-Nam Tran

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

March 7, 2011 by hgpu

Dynamically tuned push-relabel algorithm for the maximum flow problem on CPU-GPU-Hybrid platforms

Zhengyu He, Bo Hong

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Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 285

March 6, 2011 by hgpu

Speeding Up Cycle Based Logic Simulation Using Graphics Processing Units

Alper Sen, Baris Aksanli, Murat Bozkurt

Tags: Algorithms, Computer science, CUDA, Electronic design automation, Graph theory, nVidia

March 3, 2011 by hgpu

Delta-stepping: a parallelizable shortest path algorithm

U. Meyer, P. Sanders

Tags: Algorithms, Computer science, Graph theory, Path problems

February 2, 2011 by hgpu

Graph Analysis with High-Performance Computing

Bruce Hendrickson, Jonathan W. Berry

Tags: Computer science, Graph theory, Networks, Performance

January 20, 2011 by hgpu

Variants of Jump Flooding Algorithm for Computing Discrete Voronoi Diagrams

Guodong Rong, Tiow S. Tan

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Tags: Distance transform, Graph theory, nVidia, nVidia GeForce 6800, Voronoi diagram

January 7, 2011 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

* * *

high performance computing on graphics processing units: hgpu.org

Uncluttering Graph Layouts Using Anisotropic Diffusion and Mass Transport

CUDA Accelerated LTL Model Checking

GPU-Based Fast Minimum Spanning Tree Using Data Parallel Primitives

Two improved GPU acceleration strategies for force-directed graph layout

Exploiting Parallelism in Iterative Irregular Maxflow Computations on GPU Accelerators

A fast GPU algorithm for graph connectivity

Designing scalable many-core parallel algorithms for min graphs using CUDA

Dynamically tuned push-relabel algorithm for the maximum flow problem on CPU-GPU-Hybrid platforms

Speeding Up Cycle Based Logic Simulation Using Graphics Processing Units

Delta-stepping: a parallelizable shortest path algorithm

Graph Analysis with High-Performance Computing

Variants of Jump Flooding Algorithm for Computing Discrete Voronoi Diagrams

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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