high performance computing on graphics processing units: hgpu.org

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A massively parallel adaptive fast-multipole method on heterogeneous architectures

Ilya Lashuk, Aparna Chandramowlishwaran, Harper Langston, Tuan A. Nguyen, Rahul Sampath, Aashay Shringarpure, Richard Vuduc, Lexing Ying, Denis Zorin, George Biros

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Tags: Computer science, CUDA, Fast multipole method, GPU cluster, MPI, N-body simulation, nVidia, Programming techniques, Tesla S1070

November 27, 2010 by hgpu

An Extension of the StarSs Programming Model for Platforms with Multiple GPUs

Eduard Ayguade, Rosa Badia, Francisco Igual, Jesus Labarta, Rafael Mayo, Enrique Quintana-Orti

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla S1070

November 27, 2010 by hgpu

Density functional theory calculation on many-cores hybrid central processing unit-graphic processing unit architectures

Luigi Genovese, Matthieu Ospici, Thierry Deutsch, Jean F. Méhaut, Alexey Neelov, Stefan Goedecker

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Tags: Chemistry, CUDA, Density-functional theory, Molecular modeling, nVidia, Physics, Tesla S1070

November 25, 2010 by hgpu

Fast minimum spanning tree for large graphs on the GPU

Vibhav Vineet, Pawan Harish, Suryakant Patidar, P. J. Narayanan

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla S1070

November 25, 2010 by hgpu

Optimizing and tuning the fast multipole method for state-of-the-art multicore architectures

Aparna Chandramowlishwaran, Samuel Williams, Leonid Oliker, Ilya Lashuk, George Biros, Richard Vuduc

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Tags: Computer science, CUDA, Fast multipole method, MPI, nVidia, OpenMP, Performance, Tesla S1070

November 19, 2010 by hgpu

A multi-GPU accelerated solver for the three-dimensional two-phase incompressible Navier-Stokes equations

Michael Griebel, Peter Zaspel

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Tags: CUDA, Fluid dynamics, MPI, Navier-Stokes equations, NSEs, nVidia, Tesla S1070

November 17, 2010 by hgpu

Density Functional Theory calculation on many-cores hybrid CPU-GPU architectures

Luigi Genovese, Matthieu Ospici, Thierry Deutsch, Jean-Francois Mehaut, Alexey Neelov, Stefan Goedecker

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Tags: Computational Physics, Condensed matter, CUDA, Materials Science, nVidia, Physics, Tesla S1070

November 13, 2010 by hgpu

GPU-based ultra fast dose calculation using a finite pencil beam model

Xuejun Gu, Dongju Choi, Chunhua Men, Hubert Pan, Amitava Majumdar, Steve B. Jiang

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Tags: CUDA, Medical Physics, Medicine, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GTX 285, Physics, Radiotherapy, Tesla C1060, Tesla S1070

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

RapidMind: Portability across Architectures and its Limitations

Iris Christadler, Volker Weinberg

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Tags: Cell processor, Computer science, CUDA, nVidia, Performance, Programming Languages, Tesla C1060, Tesla S1070

November 12, 2010 by hgpu

A Flexible Patch-Based Lattice Boltzmann Parallelization Approach for Heterogeneous GPU-CPU Clusters

Christian Feichtinger, Johannes Habich, Harald Koestler, Georg Hager, Ulrich Ruede, Gerhard Wellein

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Tags: Computer science, CUDA, Lattice Boltzmann model, MPI, nVidia, Tesla C1060, Tesla S1070

November 11, 2010 by hgpu

General purpose Molecular Dynamics Simulations on GPUs: Issues of Pair Forces and Scaling to large Clusters

Christian Trott, Lars Winterfeld

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Source codes

Tags: Computational Physics, Condensed matter, CUDA, GPU cluster, Materials Science, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, Package, Performance, Physics, Tesla C1060, Tesla S1070

November 9, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

A massively parallel adaptive fast-multipole method on heterogeneous architectures

An Extension of the StarSs Programming Model for Platforms with Multiple GPUs

Density functional theory calculation on many-cores hybrid central processing unit-graphic processing unit architectures

Fast minimum spanning tree for large graphs on the GPU

Optimizing and tuning the fast multipole method for state-of-the-art multicore architectures

A multi-GPU accelerated solver for the three-dimensional two-phase incompressible Navier-Stokes equations

Density Functional Theory calculation on many-cores hybrid CPU-GPU architectures

GPU-based ultra fast dose calculation using a finite pencil beam model

TWQCD’s dynamical DWF project

RapidMind: Portability across Architectures and its Limitations

A Flexible Patch-Based Lattice Boltzmann Parallelization Approach for Heterogeneous GPU-CPU Clusters

General purpose Molecular Dynamics Simulations on GPUs: Issues of Pair Forces and Scaling to large Clusters

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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