Graph theory | Page 9

hgpu.org » Graph theory

Graph Coarsening and Clustering on the GPU

B. O. Fagginger Auer, R. H. Bisseling

View

Download (PDF)

Source codes

Tags: Algorithms, Clustering, Computer science, CUDA, Graph theory, nVidia, Package, Tesla C2050

February 15, 2012 by hgpu

Scalable Parallel Minimum Spanning Forest Computation

Sadegh Nobari, Thanh-Tung Cao, Panagiotis Karras, Stephane Bressan

View

Download (PDF)

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

January 25, 2012 by hgpu

Experiences in Data-Parallel Simulation and Analysis of Complex Systems with Irregular Graph Structures

Arno Leist

View

Download (PDF)

Tags: Algorithms, Cell processor, Computer science, CUDA, Graph theory, Neural networks, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 580, Phase transition, Thesis

January 23, 2012 by hgpu

High Performance and Scalable GPU Graph Traversal

Duane Merrill, Michael Garland, Andrew Grimshaw

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 280, Tesla C2050

January 9, 2012 by hgpu

Some Graph Algorithms And Related Primitives For The GPU

Jyothish Soman

View

Download (PDF)

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

January 8, 2012 by hgpu

Efficient Parallel Graph Exploration on Multi-Core CPU and GPU

Sungpack Hong, Tayo Oguntebi, Kunle Olukotun

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 275, Tesla C2050

January 7, 2012 by hgpu

A GPU Implementation of Inclusion-based Points-to Analysis

Mario Mendez-Lojo, Martin Burtscher, Keshav Pingali

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Package, Performance, Programming techniques, Tesla C2070

January 5, 2012 by hgpu

Parallel Inference on Structured Data with CRFs on GPUs

Nico Piatkowski, Katharina Morik

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Databases, Graph theory, nVidia, Package, Tesla C2050

December 21, 2011 by hgpu

Fast Random Graph Generation

Sadegh Heyrani Nobari, Xuesong Lu, Panagiotis Karras, Stephane Bressan

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Databases, Graph theory, nVidia, nVidia GeForce 9800 GT, Package

December 19, 2011 by hgpu

Parallel mesh adaptation and graph analysis using graphics processing units

Timothy P. McGuiness

View

Download (PDF)

Tags: Algorithms, CUDA, FEM, Finite element method, Fluid dynamics, Graph theory, MPI, nVidia, nVidia GeForce GTX 295, Tesla S1070

December 17, 2011 by hgpu

Algorithms acceleration of pattern-matching in multi-core architectures

David Rodenas Pico

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GT 430, nVidia GeForce GTX 320 M, Thesis

December 16, 2011 by hgpu

Graph Generation on GPUs using Dynamic Memory Allocation

A. Leist, K.A. Hawick

View

Download (PDF)

Tags: Algorithms, Benchmarking, Computer science, CUDA, Graph theory, Memory model, nVidia, nVidia GeForce GTX 580, Performance

December 14, 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

Graph Coarsening and Clustering on the GPU

Scalable Parallel Minimum Spanning Forest Computation

Experiences in Data-Parallel Simulation and Analysis of Complex Systems with Irregular Graph Structures

High Performance and Scalable GPU Graph Traversal

Some Graph Algorithms And Related Primitives For The GPU

Efficient Parallel Graph Exploration on Multi-Core CPU and GPU

A GPU Implementation of Inclusion-based Points-to Analysis

Parallel Inference on Structured Data with CRFs on GPUs

Fast Random Graph Generation

Parallel mesh adaptation and graph analysis using graphics processing units

Algorithms acceleration of pattern-matching in multi-core architectures

Graph Generation on GPUs using Dynamic Memory Allocation

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

Most viewed papers (last 30 days)