high performance computing on graphics processing units: hgpu.org

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The GASPI API specification and its implementation GPI 2.0

D. Grünewald, C. Simmendinger

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Tags: Computer science, Intel Xeon Phi, MPI, Package, Programming Languages

October 9, 2013 by hgpu

High-Order Algorithms for Compressible Reacting Flow with Complex Chemistry

M. Emmett, W. Zhang, J. B. Bell

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Tags: Fluid dynamics, Intel Xeon Phi, Mathematics, MPI, Navier-Stokes equations, NSEs, Numerical Analysis, Numerical simulation, OpenMP

October 9, 2013 by hgpu

A GPU cluster optimized multigrid scheme for computing unsteady incompressible fluid flow

Gyorgy Tegze, Gyula I. Toth

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Tags: ATI, ATI Radeon HD 7970, Fluid dynamics, GPU cluster, Mathematics, MPI, Numerical Analysis, Numerical simulation, nVidia, nVidia GeForce GTX 680, OpenCL

September 30, 2013 by hgpu

Re-Introduction of Communication-Avoiding FMM-Accelerated FFTs with GPU Acceleration

M. Harper Langston, Muthu Baskaran, Benoit Meister, Nicolas Vasilache, Richard Lethin

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Tags: Algorithms, CUDA, Fast multipole method, FFT, MPI, nVidia, Signal processing, Tesla M2070

September 29, 2013 by hgpu

Toward a GPU-Accelerated Immersed Boundary Method for Wind Forecasting Over Complex Terrain

Rey DeLeon, Kyle Felzien, Inanc Senocak

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Tags: CUDA, Earth and Space Sciences, GPU cluster, MPI, nVidia, Tesla S1070, Weather prediction, Weather Prediction Model

September 28, 2013 by hgpu

Processing MPI Derived Datatypes on Noncontiguous GPU-Resident Data

John Jenkins, James Dinan, Pavan Balaji, Tom Peterka, Nagiza F. Samatova, Rajeev Thakur

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Tags: Algorithms, Benchmarking, Computer science, CUDA, MPI, nVidia, Tesla C2050

September 23, 2013 by hgpu

Parallel Motion Estimation Implementation for Different Block Matching Algorithms onto GPGPU

Eduarda Monteiro, Marilena Maule, Felipe Sampaio, Claudio Diniz, Bruno Zatt, Sergio Bampi

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Tags: Algorithms, Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 480, OpenMP, Video encoding

September 17, 2013 by hgpu

Porting to the Intel Xeon Phi: Opportunities and Challenges

C. Rosales

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, Intel Phi, MPI, nVidia, Optimization, Performance

September 15, 2013 by hgpu

Phase Transition in 3d Heisenberg Spin Glasses with Strong Random Anisotropies, through a Multi-GPU Parallelization

M. Baity-Jesi, L.A. Fernandez, V. Martin-Mayor, J.M. Sanz

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Tags: Condensed matter, CUDA, Disordered Systems and Neural Networks, GPU cluster, MPI, nVidia, Phase transition, Tesla M2050

September 9, 2013 by hgpu

GPU Accelerated Particle Visualization with Splotch

Marzia Rivi, Claudio Gheller, Mel Krokos, Klaus Dolag, Martin Reinecke

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Tags: Algorithms, Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, MPI, Numerical simulation, nVidia, Rendering, Tesla M2090, Visualization

September 9, 2013 by hgpu

Swendsen-Wang Multi-Cluster Algorithm for the 2D/3D Ising Model on Xeon Phi and GPU

Florian Wende, Thomas Steinke

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Tags: Algorithms, CUDA, Intel Phi, Ising model, Monte Carlo simulation, MPI, nVidia, Physics, Tesla M2090

August 30, 2013 by hgpu

In-Situ Statistical Analysis of Autotune Simulation Data using Graphical Processing Units

Niloo Ranjan, Jibonananda Sanyal, Joshua New

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Tags: Computer science, CUDA, MPI, nVidia, Performance, Tesla K20

August 28, 2013 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

See all packages

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high performance computing on graphics processing units: hgpu.org

The GASPI API specification and its implementation GPI 2.0

High-Order Algorithms for Compressible Reacting Flow with Complex Chemistry

A GPU cluster optimized multigrid scheme for computing unsteady incompressible fluid flow

Re-Introduction of Communication-Avoiding FMM-Accelerated FFTs with GPU Acceleration

Toward a GPU-Accelerated Immersed Boundary Method for Wind Forecasting Over Complex Terrain

Processing MPI Derived Datatypes on Noncontiguous GPU-Resident Data

Parallel Motion Estimation Implementation for Different Block Matching Algorithms onto GPGPU

Porting to the Intel Xeon Phi: Opportunities and Challenges

Phase Transition in 3d Heisenberg Spin Glasses with Strong Random Anisotropies, through a Multi-GPU Parallelization

GPU Accelerated Particle Visualization with Splotch

Swendsen-Wang Multi-Cluster Algorithm for the 2D/3D Ising Model on Xeon Phi and GPU

In-Situ Statistical Analysis of Autotune Simulation Data using Graphical Processing Units

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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