high performance computing on graphics processing units: hgpu.org

Roberto Ammendola, Andrea Biagioni, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Pier Paolucci, Roberto Petronzio, Davide Rossetti, Andrea Salamon, Gaetano Salina, Francesco Simula, Nazario Tantalo, Laura Tosoratto, Piero Vicini

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Tags: Distributed computing, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, OpenMPI, Physics, QCD

December 2, 2010 by hgpu

Regular Lattice and Small-World Spin Model Simulations Using CUDA and GPUs

K. Hawick, A. Leist, D. Playne

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Tags: CUDA, High Energy Physics - Lattice, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, Physics

November 20, 2010 by hgpu

Domain Decomposition method on GPU cluster

Yusuke Osaki, Ken-Ichi Ishikawa

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, Mathematical Software, Monte Carlo simulation, nVidia, nVidia GeForce GTX 285, OpenMPI, Physics, QCD

November 16, 2010 by hgpu

Recent algorithm and machine developments for lattice QCD

Ken-Ichi Ishikawa

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Tags: High Energy Physics - Lattice, Monte Carlo simulation, Physics, QCD, Review

November 13, 2010 by hgpu

GPU computing for 2-d spin systems: CUDA vs OpenGL

Viola Anselmi, Giovanni Conti, Francesco Di Renzo

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Tags: CUDA, High Energy Physics - Lattice, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GTX, OpenGL, Physics

November 13, 2010 by hgpu

TWQCD’s dynamical DWF project

Ting-Wai Chiu, Tian-Shin Guu, Tung-Han Hsieh, Chao-Hsi Huang, Yu-Ying Lee, Yao-Yuan Mao, Kenji Ogawa, Po-Kai Tseng

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, MPI, nVidia, OpenMP, Physics, QCD, Tesla S1070

November 13, 2010 by hgpu

The role of multigrid algorithms for LQCD

Ronald Babich, James Brannick, Richard C. Brower, Michael A. Clark, Saul D. Cohen, James C. Osborn, Claudio Rebbi

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, Physics, QCD

November 13, 2010 by hgpu

QCD on GPUs: cost effective supercomputing

M. A. Clark

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Tags: High Energy Physics - Lattice, Monte Carlo simulation, nVidia, Physics, QCD, Review

November 13, 2010 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

On the type of the temperature phase transition in phi-4 model

Exact calculation of disconnected loops

Pseudo-random number generators for Monte Carlo simulations on ATI Graphics Processing Units

Lattice QCD as a video game

APEnet+: a 3D toroidal network enabling Petaflops scale Lattice QCD simulations on commodity clusters

Regular Lattice and Small-World Spin Model Simulations Using CUDA and GPUs

Domain Decomposition method on GPU cluster

Recent algorithm and machine developments for lattice QCD

GPU computing for 2-d spin systems: CUDA vs OpenGL

TWQCD’s dynamical DWF project

The role of multigrid algorithms for LQCD

QCD on GPUs: cost effective supercomputing

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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