high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Ocelot: a dynamic optimization framework for bulk-synchronous applications in heterogeneous systems

Gregory F. Diamos, Andrew R. Kerr, Sudhakar Yalamanchili, Nathan Clark

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Source codes

Tags: Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Package, Programming Languages, PTX

March 9, 2011 by hgpu

Comparison of FPGA and GPU implementations of real-time stereo vision

R. Kalarot, J. Morris

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Tags: Computer science, Computer vision, CUDA, FPGA, nVidia, nVidia GeForce GTX 280

March 9, 2011 by hgpu

GPU Computing Gems: Emerald Edition

edited by: W. W. Hwu

Tags: Algorithms, Book, Computer science, CUDA, nVidia, Programming techniques

March 9, 2011 by hgpu

Visualization of level-of-detail meshes on the GPU

Oscar Ripolles, Miguel Chover, Francisco Ramos

Tags: Computer science, Real-time graphics, Rendering, Visualization

March 9, 2011 by hgpu

GPGPU flow

Jens Kruger

Tags: Computer science, Review, Visualization

March 9, 2011 by hgpu

Using common graphics hardware for multi-agent traffic simulation with CUDA

David Strippgen, Kai Nagel

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8600 GT, nVidia GeForce GTX 280, Software Engineering

March 8, 2011 by hgpu

Fast heterogeneous computing with CUDA compatible Tesla GPU computing processor (personal supercomputing)

D. Kumar, M. A. Qadeer

Tags: Computer science, CUDA, Heterogeneous systems, Molecular dynamics, nVidia, Tesla

March 8, 2011 by hgpu

Performance and Scalability of GPU-Based Convolutional Neural Networks

Daniel Strigl, Klaus Kofler, Stefan Podlipnig

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Tags: Computer science, CUDA, Neural networks, nVidia

March 8, 2011 by hgpu

Offloading Region Matching of Data Distribution Management with CUDA

Shih Hsiang Lo, Yeh Ching Chung, Fang Ping Pai

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Tags: Computer science, CUDA, Distributed data structures, nVidia, nVidia GeForce 9600 GT

March 8, 2011 by hgpu

IP routing processing with graphic processors

Shuai Mu, Xinya Zhang, Nairen Zhang, Jiaxin Lu, Yangdong Steve Deng, Shu Zhang

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Tags: Bloom filter, Computer science, CUDA, Network communications, Networks, nVidia, nVidia GeForce GTX 280, Software router

March 7, 2011 by hgpu

Application-guided tool development for architecturally diverse computation

Roger D. Chamberlain, Jeremy Buhler, Mark A. Franklin, James H. Buckley

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Tags: Algorithms, Astrophysics, Biology, Computer science, CUDA, Finance, FPGA, Heterogeneous systems, Monte Carlo simulation, nVidia, nVidia GeForce GTX 260, Search, Security

March 7, 2011 by hgpu

Non-blocking programming on multi-core graphics processors: (extended asbtract)

Phuong Hoai Ha, Philippas Tsigas, Otto J. Anshus

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce 8800 GTX, Performance, Programming techniques

March 7, 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

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high performance computing on graphics processing units: hgpu.org

Applications

Ocelot: a dynamic optimization framework for bulk-synchronous applications in heterogeneous systems

Comparison of FPGA and GPU implementations of real-time stereo vision

GPU Computing Gems: Emerald Edition

Visualization of level-of-detail meshes on the GPU

GPGPU flow

Using common graphics hardware for multi-agent traffic simulation with CUDA

Fast heterogeneous computing with CUDA compatible Tesla GPU computing processor (personal supercomputing)

Performance and Scalability of GPU-Based Convolutional Neural Networks

Offloading Region Matching of Data Distribution Management with CUDA

IP routing processing with graphic processors

Application-guided tool development for architecturally diverse computation

Non-blocking programming on multi-core graphics processors: (extended asbtract)

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Over-synchronization in GPU Programs

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