high performance computing on graphics processing units: hgpu.org

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Towards Porting a Real-World Seismological Application to the Intel MIC Architecture

V. Weinberg, M. Allalen, G. Brietzke

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Tags: Earth and Space Sciences, Fortran, Geoscience, Heterogeneous systems, Intel Xeon Phi, MPI, Seismology

February 16, 2014 by hgpu

GPU-Accelerated parallel FDTD on Distributed Heterogeneous Platform

Ronglin Jiang, Shugang Jiang, Yu Zhang, Ying Xu, Lei Xu, Dandan Zhang

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, Fortran, Heterogeneous systems, MPI, nVidia, Tesla K20

January 12, 2014 by hgpu

Nemo: A parallelized Lagrangian particle-tracking model

Benjamin Jones

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Tags: CUDA, Earth and Space Sciences, Fortran, MPI, nVidia, nVidia GeForce GTX 650 M, Package

January 3, 2014 by hgpu

Experiences Porting a Molecular Dynamics Code to GPUs on a Cray XK7

Donald K. Berry, Joseph Schuchart, Robert Henschel

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Tags: CUDA, Fortran, Molecular dynamics, MPI, nVidia, OpenACC, Physics, Tesla K20

December 19, 2013 by hgpu

Investigating the use of GPUs with a Monte Carlo Astrophysical Simulation

James S. Willis

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Tags: Astrophysics, CUDA, Fortran, GPU cluster, nVidia, Tesla C2050, Thesis

November 25, 2013 by hgpu

A study of the speed and the accuracy of the Boundary Element Method as applied to the computational simulation of biological organs

Kirana Kumara P

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Tags: Computational Physics, Computer science, CUDA, Fortran, Mathematical Software, Medical Physics, MPI, nVidia, nVidia Quadro 4000, Package

November 19, 2013 by hgpu

The discrete dipole approximation code DDscat.C++: features, limitations and plans

V. Ya. Choliy

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Tags: Astrophysics, CUDA, Fortran, nVidia, nVidia GeForce GTX 260, Package

September 4, 2013 by hgpu

Tight Binding Molecular Dynamics on CPU and GPU clusters

Dimitar Pashov

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Tags: Algorithms, CUDA, Electrostatics, Fortran, GPU cluster, Linear Algebra, Molecular dynamics, MPI, nVidia, Physics, Tesla K20

August 23, 2013 by hgpu

KernelGen – the design and implementation of a next generation compiler platform for accelerating numerical models on GPUs

Dmitry Mikushin, Nikolay Likhogrud, Eddy Zheng Zhang, Christopher Bergstrom

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Tags: Code generation, Compilers, Computer science, CUDA, Fortran, nVidia, OpenACC, Package, PTX, Tesla K20

July 15, 2013 by hgpu

An Investigation of the Performance Portability of OpenCL

S.J. Pennycook, S.D. Hammond, S.A. Wright, J.A. Herdman, I. Miller, S.A. Jarvis

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Tags: ATI, ATI FirePro V7800, Benchmarking, Computer science, CUDA, Fortran, MPI, nVidia, OpenCL, Package, Performance, Tesla C1060, Tesla C2050

May 21, 2013 by hgpu

Fast computation of MadGraph amplitudes on graphics processing unit (GPU)

K. Hagiwara, J. Kanzaki, Q. Li, N. Okamura, T. Stelzer

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Tags: Computational Physics, CUDA, Fortran, Monte Carlo integration, nVidia, Physics, Pseudo-random number generators, QCD, Tesla C2075

May 6, 2013 by hgpu

Modern GPGPU Frameworks and their Application to the Physical Core of the ASUCA Weather Prediction Model

Michel Muller

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Tags: CUDA, Earth and Space Sciences, Fortran, nVidia, OpenACC, Tesla M2050, Thesis, Weather prediction, Weather Prediction Model

November 19, 2012 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

Towards Porting a Real-World Seismological Application to the Intel MIC Architecture

GPU-Accelerated parallel FDTD on Distributed Heterogeneous Platform

Nemo: A parallelized Lagrangian particle-tracking model

Experiences Porting a Molecular Dynamics Code to GPUs on a Cray XK7

Investigating the use of GPUs with a Monte Carlo Astrophysical Simulation

A study of the speed and the accuracy of the Boundary Element Method as applied to the computational simulation of biological organs

The discrete dipole approximation code DDscat.C++: features, limitations and plans

Tight Binding Molecular Dynamics on CPU and GPU clusters

KernelGen – the design and implementation of a next generation compiler platform for accelerating numerical models on GPUs

An Investigation of the Performance Portability of OpenCL

Fast computation of MadGraph amplitudes on graphics processing unit (GPU)

Modern GPGPU Frameworks and their Application to the Physical Core of the ASUCA Weather Prediction Model

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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