high performance computing on graphics processing units: hgpu.org

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PyFR: An Open Source Framework for Solving Advection-Diffusion Type Problems on Streaming Architectures using the Flux Reconstruction Approach

Freddie D Witherden, Antony M Farrington, Peter E Vincent

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Tags: Computational Physics, CUDA, Finite difference, Fluid dynamics, Navier-Stokes equations, NSEs, Numerical Analysis, nVidia, Python, Tesla K20, Tesla M2090

December 6, 2013 by hgpu

Applications of Many-Core Technologies to On-line Event Reconstruction in High Energy Physics Experiments

A. Gianelle, S. Amerio, D. Bastieri, M. Corvo, W. Ketchum, T. Liu, A. Lonardo, D. Lucchesi, S. Poprocki, R. Rivera, L. Tosoratto, P. Vicini, P. Wittich

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Tags: ATI, ATI Radeon HD 7970, CUDA, High Energy Physics - Experiment, Instrumentation and Detectors, Intel Xeon Phi, nVidia, nVidia GeForce GTX Titan, OpenCL, Performance, Physics, Tesla K20, Tesla M2050

December 6, 2013 by hgpu

Fast quantum Monte Carlo on a GPU

Y. Lutsyshyn

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Tags: Computational Physics, Condensed matter, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 560, Physics, Tesla K20, Tesla M2090

December 6, 2013 by hgpu

Highly Optimized Full GPU-Acceleration of Non-hydrostatic Weather Model SCALE-LES

Mohamed Wahib, Naoya Maruyama

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Tags: CUDA, Earth and Space Sciences, nVidia, OpenACC, Tesla K20, Tesla M2075, Weather Prediction Model

November 29, 2013 by wahibium

Hybrid Programming using OpenSHMEM and OpenACC

Matthew Baker, Swaroop Pophale, Jean-Charles Vasnier, Haoqiang Jin, Oscar Hernandez

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

November 28, 2013 by hgpu

Implementation of the twisted mass fermion operator in the QUDA library

Alexei Strelchenko, Constantia Alexandrou, Giannis Koutsou, Alejandro Vaquero Aviles-Casco

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Tags: CUDA, High Energy Physics - Lattice, nVidia, Physics, QCD, Tesla K20

November 19, 2013 by hgpu

GPU Enhancement of the Trigger to Extend Physics Reach at the Large Hadron Collider

P. Lujan, V. Halyo, A. Hunt, P. Jindal, P. LeGresley

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Tags: Algorithms, CUDA, Instrumentation and Detectors, nVidia, Physics, Tesla C2075, Tesla K20

November 13, 2013 by hgpu

Sailfish: a flexible multi-GPU implementation of the lattice Boltzmann method

Michal Januszewski, Marcin Kostur

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Source codes

Tags: Code generation, Computational Physics, CUDA, Fluid dynamics, Fluid simulation, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 285, OpenCL, Package, Physics, Python, Tesla C1060, Tesla C2050, Tesla K10, Tesla K20

November 12, 2013 by hgpu

Performance Evaluation of R with Intel Xeon Phi Coprocessor

Yaakoub El-Khamra, Niall Gaffney, David Walling, Eric Wernert, Weijia Xu, Hui Zhang

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Source codes

Tags: Computer science, CUDA, CULA, High-level Languages, Intel Phi, Intel Xeon Phi, nVidia, Package, Performance, Tesla K20

November 12, 2013 by hgpu

First Steps Towards More Numerical Reproducibility

Fabienne Jezequel, Philippe Langlois, Nathalie Revol

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Tags: APU, ATI, ATI Radeon HD 7970, Computer science, Numerical simulation, nVidia, OpenCL, Tesla K20

November 11, 2013 by hgpu

Towards a Portable and Future-proof Particle-in-Cell Plasma Physics Code

R. F. Bird, S. J. Pennycook, S. A. Wright, S. A. Jarvis

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Tags: Algorithms, Computer science, nVidia, OpenCL, Particle-in-cell methods, Physics, Plasma physics, Tesla C1060, Tesla C2050, Tesla K20

November 10, 2013 by hgpu

GPU-Based Space-Time Adaptive Processing (STAP) for Radar

Thomas M. Benson, Ryan K. Hersey, Edwin Culpepper

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Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, nVidia Quadro 3000 M, Tesla K20, Tesla M2090

November 8, 2013 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

PyFR: An Open Source Framework for Solving Advection-Diffusion Type Problems on Streaming Architectures using the Flux Reconstruction Approach

Applications of Many-Core Technologies to On-line Event Reconstruction in High Energy Physics Experiments

Fast quantum Monte Carlo on a GPU

Highly Optimized Full GPU-Acceleration of Non-hydrostatic Weather Model SCALE-LES

Hybrid Programming using OpenSHMEM and OpenACC

Implementation of the twisted mass fermion operator in the QUDA library

GPU Enhancement of the Trigger to Extend Physics Reach at the Large Hadron Collider

Sailfish: a flexible multi-GPU implementation of the lattice Boltzmann method

Performance Evaluation of R with Intel Xeon Phi Coprocessor

First Steps Towards More Numerical Reproducibility

Towards a Portable and Future-proof Particle-in-Cell Plasma Physics Code

GPU-Based Space-Time Adaptive Processing (STAP) for Radar

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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