high performance computing on graphics processing units: hgpu.org

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Large-Scale High-Lundquist Number Reduced MHD Simulations of the Solar Corona Using GPU Accelerated Machines

L. Lin, Chung-Sang Ng, A. Bhattacharjee

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Tags: Astrophysics, Computational Physics, CUDA, GPU cluster, Instrumentation and Methods for Astrophysics, Magnetohydrodynamics, MPI, nVidia, Plasma physics, Solar and Stellar Astrophysics, Spectral methods, Tesla C2050

September 29, 2011 by hgpu

Fast analysis of molecular dynamics trajectories with graphics processing units-Radial distribution function histogramming

Benjamin G. Levine, John E. Stone, Axel Kohlmeyer

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Tags: Algorithms, Chemistry, CUDA, GPU cluster, Heterogeneous systems, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Visualization

September 21, 2011 by hgpu

The TheLMA project: Multi-GPU implementation of the lattice Boltzmann method

Christian Obrecht, Frederic Kuznik, Bernard Tourancheau, Jean-Jacques Roux

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Tags: CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, nVidia, Presentation, Tesla C1060

September 19, 2011 by hgpu

Scaling Lattice QCD beyond 100 GPUs

R. Babich, M. A. Clark, B. Joo, G. Shi, R. C. Brower, S. Gottlieb

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Source codes

Tags: Computational Physics, CUDA, GPU cluster, High Energy Physics - Lattice, nVidia, OpenMPI, Package, Physics, QCD, Tesla M2050

September 15, 2011 by hgpu

Data-intensive document clustering on graphics processing unit (GPU) clusters

Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas Potok

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Tags: Algorithms, Clustering, Computer science, CUDA, Data mining, GPU cluster, nVidia, nVidia GeForce GTX 280, Tesla C1060

September 13, 2011 by hgpu

High-performance Computing in China: Research and Applications

Ninghui Sun, David Kahaner, Debbie Chen

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Tags: Computer science, GPU cluster, Hardware Architecture, Performance, Review

September 12, 2011 by hgpu

Sort-First Parallel Volume Rendering

Brendan Moloney, Marco Ament, Daniel Weiskopf, Torsten Moller

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Tags: Algorithms, Computer science, GPU cluster, nVidia, nVidia GeForce GTX 285, OpenGL, Rendering, Visualization

September 4, 2011 by hgpu

TH-1: China’s first petaflop supercomputer

Xuejun Yang, Xiangke Liao, Weixia Xu, Junqiang Song, Qingfeng Hu, Jinshu Su, Liquan Xiao, Kai Lu, Qiang Dou, Juping Jiang, Canqun Yang

Tags: ATI, ATI Radeon HD 4870, Computer science, GPU cluster, Hardware Architecture, Heterogeneous systems

August 25, 2011 by hgpu

Experience of parallelizing cryo-EM 3D reconstruction on a CPU-GPU heterogeneous system

Linchuan Li, Xingjian Li, Guangming Tan, Mingyu Chen, Peiheng Zhang

Tags: Algorithms, Computer science, Cryo-EM, CUDA, Data parallelism, GPU cluster, Heterogeneous systems, MPI, nVidia, Performance, Tesla C2050

August 24, 2011 by hgpu

The VRE volume rendering engine

Michal Hucko, Michal Vanek, Milos Sramek

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Tags: Computer science, GPU cluster, OpenGL, Rendering, Visualization

August 22, 2011 by hgpu

A programming model for GPU-based parallel computing with scalability and abstraction

Balazs Domonkos, Gabor Jakab

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Tags: 3D Graphics and Realism, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, OpenMP, Programming techniques

August 22, 2011 by hgpu

Maestro: Data Orchestration and Tuning for OpenCL Devices

Kyle Spafford, Jeremy Meredith, Jeffrey Vetter

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Tags: ATI, ATI Radeon HD 5870, Computer science, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, OpenCL, Performance, Tesla C1060, Tesla S1070

August 18, 2011 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

Large-Scale High-Lundquist Number Reduced MHD Simulations of the Solar Corona Using GPU Accelerated Machines

Fast analysis of molecular dynamics trajectories with graphics processing units-Radial distribution function histogramming

The TheLMA project: Multi-GPU implementation of the lattice Boltzmann method

Scaling Lattice QCD beyond 100 GPUs

Data-intensive document clustering on graphics processing unit (GPU) clusters

High-performance Computing in China: Research and Applications

Sort-First Parallel Volume Rendering

TH-1: China’s first petaflop supercomputer

Experience of parallelizing cryo-EM 3D reconstruction on a CPU-GPU heterogeneous system

The VRE volume rendering engine

A programming model for GPU-based parallel computing with scalability and abstraction

Maestro: Data Orchestration and Tuning for OpenCL Devices

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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