high performance computing on graphics processing units: hgpu.org

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High-performance 3D Compressive Sensing MRI reconstruction

Daehyun Kim, J.D. Trzasko, M. Smelyanskiy, C.R. Haider, A. Manduca, P. Dubey

Tags: CUDA, Image processing, Image reconstruction, MRI, nVidia, nVidia GeForce GTX 480

June 28, 2011 by hgpu

LOD Terrain Rendering by Local Parallel Processing on GPU

Alexandre Valdetaro, Gustavo Nunes, Alberto Raposo, Bruno Feijo, Rodrigo de Toledo

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Tags: 3D Graphics and Realism, Computer science, DirectX, nVidia, nVidia GeForce GTX 480, Rendering, Visualization

June 23, 2011 by hgpu

Protein alignment algorithms with an efficient backtracking routine on multiple GPUs

Jacek Blazewicz, Wojciech Frohmberg, Michal Kierzynka, Erwin Pesch, Pawel Wojciechowski

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Source codes

Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Package, Sequence alignment, Tesla S1070

June 21, 2011 by hgpu

Loose capacity-constrained representatives for the qualitative visual analysis in molecular dynamics

Steffen Frey, Thomas Schlomer, Sebastian Grottel, Carsten Dachsbacher, Oliver Deussen, Thomas Ertl

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Tags: Computer science, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Visualization, Voronoi diagram

June 15, 2011 by hgpu

A sparse octree gravitational N-body code that runs entirely on the GPU processor

Jeroen Bedorf, Evghenii Gaburov, Simon Portegies Zwart

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Tags: Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package, Tesla C1060, Tesla C2050

June 14, 2011 by hgpu

Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs

Dan C. Ciresan, Ueli Meier, Luca M. Gambardella, Jurgen Schmidhuber

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Tags: Artificial intelligence, Computer vision, Image processing, Image recognition, Neural networks, nVidia, nVidia GeForce GTX 480

June 10, 2011 by hgpu

GPS forward model computing study on CPU/GPU co-processing parallel system using CUDA

Fukang Yin, Fengshun Lu, Xiaoqun Cao, Junqiang Song

Tags: Computational modelling, Computer science, CUDA, Earth and Space Sciences, GPU cluster, nVidia, nVidia GeForce GTX 480, Weather prediction

June 1, 2011 by hgpu

Connected component identification and cluster update on GPU

Martin Weigel

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Physics, Statistical Mechanics, Tesla M2070

May 31, 2011 by hgpu

Raytracing Dynamic Scenes on the GPU using Grids

Sashidhar Guntury, P. J. Narayanan

Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 480, Raytracing

May 27, 2011 by hgpu

Parallel compact roadmap construction of 3D virtual environments on the GPU

Avi Bleiweiss

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Tags: Computer science, CUDA, Hardware Architecture, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Presentation

May 17, 2011 by hgpu

Accelerating QDP++ using GPUs

Frank Winter

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, Physics, Programming Languages, QCD

May 12, 2011 by hgpu

Where is the data? Why you cannot debate CPU vs. GPU performance without the answer

Chris Gregg, Kim Hazelwood

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Tags: Computer science, nVidia, nVidia GeForce 9800 GT, nVidia GeForce GT 330 M, nVidia GeForce GTX 480, Performance, Review, Tesla C2050

May 11, 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

High-performance 3D Compressive Sensing MRI reconstruction

LOD Terrain Rendering by Local Parallel Processing on GPU

Protein alignment algorithms with an efficient backtracking routine on multiple GPUs

Loose capacity-constrained representatives for the qualitative visual analysis in molecular dynamics

A sparse octree gravitational N-body code that runs entirely on the GPU processor

Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs

GPS forward model computing study on CPU/GPU co-processing parallel system using CUDA

Connected component identification and cluster update on GPU

Raytracing Dynamic Scenes on the GPU using Grids

Parallel compact roadmap construction of 3D virtual environments on the GPU

Accelerating QDP++ using GPUs

Where is the data? Why you cannot debate CPU vs. GPU performance without the answer

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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