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A Resource Selection System for Cycle Stealing in GPU Grids

Y. Kotani, F. Ino, K. Hagihara

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Tags: Computer science, Grid, nVidia, nVidia GeForce 6800 GTO, nVidia GeForce 7800 GTX, nVidia GeForce 8800 GTX

December 9, 2010 by hgpu

Two-stage compression for fast volume rendering of time-varying scalar data

Daisuke Nagayasu, Fumihiko Ino, Kenichi Hagihara

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Tags: Computer science, Image generation, nVidia, nVidia GeForce 6800 GTO, OpenGL, Rendering, Visualization

December 4, 2010 by hgpu

Bio-sequence database scanning on a GPU

Weiguo Liu, B. Schmidt, G. Voss, A. Schroder, W. Muller-Wittig

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Tags: Biology, Computational biology, GLSL, nVidia, nVidia GeForce 6800 GTO, nVidia GeForce 7800 GTX, OpenGL, Smith-Waterman algorithm

October 30, 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

A Resource Selection System for Cycle Stealing in GPU Grids

Two-stage compression for fast volume rendering of time-varying scalar data

Bio-sequence database scanning on a GPU

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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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