high performance computing on graphics processing units: hgpu.org

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Parallel Graph Processing on Graphics Processors Made Easy

Jianlong Zhong, Bingsheng He

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

July 12, 2013 by hgpu

GPU-accelerated protein family identification for metagenomics

Changjun Wu, Ananth Kalyanaraman

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Tags: Biology, Clustering, CUDA, Graph theory, nVidia, Tesla K20

May 25, 2013 by hgpu

A Tuned, Concurrent-Kernel Approach to Speed Up the APSP Problem

Hector Ortega-Arranz, Yuri Torres, Diego R. Llanos, Arturo Gonzalez-Escribano

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 480

May 25, 2013 by hgpu

Critical Links Detection using CUDA

Thomas Schnabl

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 560 Ti, Thesis

May 7, 2013 by hgpu

Efficient Computation of the Kleene Star in Max-Plus Algebra using a CUDA GPU

Hiroyuki Goto, Kazuhiro Toyoda

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Tags: Computer science, CUDA, Graph theory, nVidia, Tesla C2075

April 27, 2013 by hgpu

Atomic-free Irregular Computations on GPUs

Rupesh Nasre, Martin Burtscher, Keshav Pingali

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Package, Performance, Tesla K20

April 7, 2013 by hgpu

Deploying Graph Algorithms on GPUs: an Adaptive Solution

Da Li, Michela Becchi

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla C2070

April 4, 2013 by hgpu

Accelerating Graph Analysis with Heterogeneous Systems

Ate Penders

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Tags: Algorithms, Computer science, Graph theory, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Tesla C2050, Thesis

March 29, 2013 by hgpu

Morph Algorithms on GPUs

Rupesh Nasre, Martin Burtscher, Keshav Pingali

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

March 12, 2013 by hgpu

GPU accelerated maximum cardinality matching algorithms for bipartite graphs

Mehmet Deveci, Kamer Kaya, Bora Ucar, Umit V. Catalyurek

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

March 9, 2013 by hgpu

Betweenness Centrality on GPUs and Heterogeneous Architectures

Ahmet Erdem Sariyuce, Kamer Kaya, Erik Saule, Umit V. Catalyurek

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Tags: Computer science, CUDA, Graph theory, Heterogeneous systems, nVidia, Package, Tesla C2050, Virtualization

February 7, 2013 by hgpu

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

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

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

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

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

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high performance computing on graphics processing units: hgpu.org

Parallel Graph Processing on Graphics Processors Made Easy

GPU-accelerated protein family identification for metagenomics

A Tuned, Concurrent-Kernel Approach to Speed Up the APSP Problem

Critical Links Detection using CUDA

Efficient Computation of the Kleene Star in Max-Plus Algebra using a CUDA GPU

Atomic-free Irregular Computations on GPUs

Deploying Graph Algorithms on GPUs: an Adaptive Solution

Accelerating Graph Analysis with Heterogeneous Systems

Morph Algorithms on GPUs

GPU accelerated maximum cardinality matching algorithms for bipartite graphs

Betweenness Centrality on GPUs and Heterogeneous Architectures

Skeleton-based edge bundling for graph visualization

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

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