high performance computing on graphics processing units: hgpu.org

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Simulating Lattice Spin Models on Graphics Processing Units

Tal Levy, Guy Cohen, Eran Rabani

Tags: Chemistry, CUDA, Monte Carlo simulation, nVidia, Physics

January 13, 2011 by hgpu

GPU accelerated biochemical network simulation

Yanxiang Zhou, Juliane Liepe, Xia Sheng, Michael P. H. Stumpf, Chris Barnes

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Source codes

Tags: Bioinformatics, Biology, CUDA, GPU cluster, nVidia, Package, Tesla C2050

January 13, 2011 by hgpu

190 TFlops Astrophysical N-body Simulation on a Cluster of GPUs

Tsuyoshi Hamada, Keigo Nitadori

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Tags: Astrophysics, CUDA, GPU cluster, N-body simulation, nVidia, nVidia GeForce GTX 295, OpenMPI, Physics

January 13, 2011 by hgpu

Fitting Galaxies on GPUs

Benjamin R. Barsdell, David G. Barnes, Christopher J. Fluke

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Tags: Astrophysics, CUDA, FFT, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, nVidia, Physics, Tesla C1060

January 13, 2011 by hgpu

Hardware-Assisted Projected Tetrahedra

Andre Maximo, Ricardo Marroquim, Ricardo Farias

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Tags: Computer science, CUDA, Image generation, nVidia, nVidia GeForce 8800 GTX, Rendering, Sorting

January 13, 2011 by hgpu

Accelerating SSL with GPUs

Keon Jang, Sangjin Han, Seungyeop Han, Sue B. Moon, KyoungSoo Park

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Tags: Computer science, CUDA, Networks, nVidia, nVidia GeForce GTX 480, Security

January 13, 2011 by hgpu

Rapid evaluation and evolution of neural models using graphics card hardware

Thomas F. Clayton, Leena N. Patel, Gareth Leng, Alan F. Murray, Iain A.B. Lindsay

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Evolutionary Computations, nVidia, nVidia GeForce 8800 GTX

January 13, 2011 by hgpu

Speeding up Mutual Information Computation Using NVIDIA CUDA Hardware

Ramtin Shams, Nick Barnes

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Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX

January 13, 2011 by hgpu

Low-cost, high-speed computer vision using NVIDIA’s CUDA architecture

Seung In Park, Sean P. Ponce, Jing Huang, Yong Cao, Francis Quek

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GTS, Pattern recognition, Video tracking

January 13, 2011 by hgpu

Efficient fault simulation on many-core processors

Michael A. Kochte, Marcel Schaal, Hans-Joachim Wunderlich, Christian G. Zoellin

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Tags: Algorithms, Computer science, CUDA, Fault simulation, nVidia, nVidia GeForce GTX 285

January 13, 2011 by hgpu

K-Means on Commodity GPUs with CUDA

Hong-tao Bai, Li-li He, Dan-tong Ouyang, Zhan-shan Li, Li He

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Tags: Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce 8800 GTX

January 12, 2011 by hgpu

Robust mesh reconstruction from unoriented noisy points

Hoi Sheung, Charlie C. L. Wang

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce 9800 GTX

January 12, 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

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high performance computing on graphics processing units: hgpu.org

Simulating Lattice Spin Models on Graphics Processing Units

GPU accelerated biochemical network simulation

190 TFlops Astrophysical N-body Simulation on a Cluster of GPUs

Fitting Galaxies on GPUs

Hardware-Assisted Projected Tetrahedra

Accelerating SSL with GPUs

Rapid evaluation and evolution of neural models using graphics card hardware

Speeding up Mutual Information Computation Using NVIDIA CUDA Hardware

Low-cost, high-speed computer vision using NVIDIA’s CUDA architecture

Efficient fault simulation on many-core processors

K-Means on Commodity GPUs with CUDA

Robust mesh reconstruction from unoriented noisy points

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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