high performance computing on graphics processing units: hgpu.org

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Building Correlators with Many-Core Hardware

Rob V. van Nieuwpoort and John W. Romein

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Tags: Astrophysics, ATI, ATI CAL, ATI IL, ATI Radeon HD 4870, ATI Stream, Cell processor, CUDA, nVidia, Physics, Signal processing, Tesla C1060

March 3, 2011 by hgpu

RankBoost Acceleration on both NVIDIA CUDA and ATI Stream Platforms

Bo Wang, Tianji Wu, Feng Yan, Ruirui Li, Ningyi Xu, Yu Wang

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Tags: ATI, ATI CAL, ATI IL, ATI Radeon HD 4870, ATI Stream, Computer science, CUDA, nVidia, nVidia GeForce 9800 GTX

March 3, 2011 by hgpu

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

M.Bordag, V.Demchik, A.Gulov, V.Skalozub

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Tags: ATI, ATI CAL, ATI IL, ATI Radeon HD 4850, ATI Radeon HD 4870, ATI Radeon HD 5850, ATI Radeon HD 5870, ATI Stream, GPU cluster, High Energy Physics - Lattice, High Energy Physics - Phenomenology, Monte Carlo simulation, Physics

December 27, 2010 by hgpu

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

Vadim Demchik

Tags: ATI, ATI IL, ATI Radeon HD 4850, ATI Radeon HD 4870, ATI Radeon HD 5850, ATI Radeon HD 5870, ATI Stream, Computational Physics, High Energy Physics - Lattice, Monte Carlo simulation, Physics, Pseudo-random number generators

December 13, 2010 by hgpu

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

Vadim Demchik

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Tags: ATI, ATI IL, ATI Radeon HD 4850, ATI Radeon HD 4870, ATI Radeon HD 5850, ATI Stream, Computational Physics, High Energy Physics - Lattice, Monte Carlo simulation, Physics, Pseudo-random number generators

October 28, 2010 by hgpu

Oct-tree Method on GPU

N. Nakasato

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Tags: Astrophysics, ATI, ATI IL, ATI Stream, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, RV770

October 27, 2010 by hgpu

Monte Carlo simulations on Graphics Processing Units

Vadim Demchik, Alexei Strelchenko

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Tags: ATI, ATI IL, ATI Radeon HD 4850, ATI Radeon HD 4870, ATI Stream, High Energy Physics - Lattice, Monte Carlo simulation, Physics

October 27, 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

Building Correlators with Many-Core Hardware

RankBoost Acceleration on both NVIDIA CUDA and ATI Stream Platforms

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

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

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

Oct-tree Method on GPU

Monte Carlo simulations on Graphics Processing Units

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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