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Multi-GPGPU Cellular Automata Simulations using OpenACC

Sebastian Szkoda, Zbigniew Koza, Mateusz Tykierko

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Tags: Algorithms, Cellular automata, CUDA, Fluid dynamics, MPI, nVidia, nVidia GeForce GTX 480, OpenACC, Tesla C2090, Tesla K20, Tesla M2090

May 15, 2014 by hgpu

Efficient Multi-GPU Computation of All-Pairs Shortest Paths

Hristo Djidjev, Sunil Thulasidasan, Guillaume Chapuis, Rumen Andonov, Dominique Lavenier

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Tags: Algorithms, Bioinformatics, Biology, CUDA, GPU cluster, nVidia, Tesla C2090

December 18, 2013 by hgpu

Exploiting parallel features of modern computer architectures in bioinformatics

Guillaume Chapuis

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Genetics, nVidia, Path problems, Tesla C2050, Tesla C2090, Thesis

December 16, 2013 by hgpu

Efficient Multi-GPU Algorithm for All-Pairs Shortest Paths

Guillaume Chapuis, Hristo Djidjev, Rumen Andonov, Sunil Thulasidasan, Dominique Lavenier

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Tags: Algorithms, Computer science, CUDA, Electronic design automation, GPU cluster, nVidia, Path problems, Tesla C2090

November 26, 2013 by hgpu

Modeling of the behavior of 222 Rn progeny in diffusion chamber using CUDA

Adam Stanojevic, Milos Ivanovic, Nenad Stevanovic, Filipovic Nenad

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Tags: CUDA, nVidia, nVidia GeForce GTX 560, Physics, Tesla C2090

June 26, 2013 by hgpu

Finite-size scaling method for the Berezinskii-Kosterlitz-Thouless transition

Yun-Da Hsieh, Ying-Jer Kao, A. W. Sandvik

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Tags: Condensed matter, CUDA, nVidia, Physics, Statistical Mechanics, Tesla C2090

February 14, 2013 by hgpu

Tera-scale Astronomical Data Analysis and Visualization

A. H. Hassan, C. J. Fluke, D. G. Barnes, V. A. Kilborn

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Tags: Algorithms, Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Rendering, Tesla C2070, Tesla C2090, Visualization

November 22, 2012 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

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high performance computing on graphics processing units: hgpu.org

Multi-GPGPU Cellular Automata Simulations using OpenACC

Efficient Multi-GPU Computation of All-Pairs Shortest Paths

Exploiting parallel features of modern computer architectures in bioinformatics

Efficient Multi-GPU Algorithm for All-Pairs Shortest Paths

Modeling of the behavior of 222 Rn progeny in diffusion chamber using CUDA

Finite-size scaling method for the Berezinskii-Kosterlitz-Thouless transition

Tera-scale Astronomical Data Analysis and Visualization

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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