high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Loop Transformation Recipes for Code Generation and Auto-Tuning

Mary Hall, Jacqueline Chame, Chun Chen, Jaewook Shin, Gabe Rudy, Malik Khan

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, OpenMP

February 12, 2011 by hgpu

Automated Dynamic Analysis of CUDA Programs

Michael Boyer, Kevin Skadron, Westley Weimer

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Tags: Computer science, CUDA, nVidia, Optimization, Performance

February 12, 2011 by hgpu

Compiling an Array Language to a Graphics Processor

Bradford Larsen

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GT, Thesis

February 11, 2011 by hgpu

Comparing CUDA and OpenGL implementations for a Jacobi iteration

Ronan Amorim, Gundolf Haase, Manfred Liebmann, Rodrigo Weber dos Santos

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Tags: Computer science, CUDA, GLSL, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 8800 GT, nVidia GeForce GTX 280, OpenGL, Performance

February 11, 2011 by hgpu

Comparison of several parallel API for cloth modelling on modern GPUs

Tzvetomir Ivanov Vassilev

Tags: Computer science, CUDA, GLSL, nVidia, OpenCL, OpenGL, Performance

February 11, 2011 by hgpu

Energy-efficient algorithms

Susanne Albers

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Tags: Algorithms, Computer science, Energy-efficient computing, Green, Review

February 11, 2011 by hgpu

EigenCFA: accelerating flow analysis with GPUs

Tarun Prabhu, Shreyas Ramalingam, Matthew Might, Mary Hall

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Tags: Computer science, CUBLAS, Flow analysis, nVidia, nVidia GeForce GTX 480, Optimization

February 11, 2011 by hgpu

Interpretive OpenGL for computer graphics

B. Chen, H. Cheng

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Tags: 3D Graphics and Realism, Computer science, OpenGL, Package

February 10, 2011 by hgpu

Interactive Computer Graphics: A Top-Down Approach Using OpenGL (5th Edition)

Edward Angel

Tags: 3D Graphics and Realism, Book, Computer science, OpenGL

February 10, 2011 by hgpu

OpenGL(R) Programming Guide: The Official Guide to Learning OpenGL(R), Version 2 (5th Edition)

Opengl, D. Shreiner, M. Woo, J. Neider, T. Davis

Tags: 3D Graphics and Realism, Book, Computer science, OpenGL

February 10, 2011 by hgpu

OpenGL(R) Shading Language (2nd Edition)

Randi J. Rost

Tags: Book, Computer science, High-level Languages, OpenGL

February 10, 2011 by hgpu

GLSV: Graphics library stereo vision for OpenGL

S. Martin, J. Suarez, R. Orea, R. Rubio, R. Gallego

Tags: Computer science, Computer vision, OpenGL, Virtual reality

February 10, 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

Loop Transformation Recipes for Code Generation and Auto-Tuning

Automated Dynamic Analysis of CUDA Programs

Compiling an Array Language to a Graphics Processor

Comparing CUDA and OpenGL implementations for a Jacobi iteration

Comparison of several parallel API for cloth modelling on modern GPUs

Energy-efficient algorithms

EigenCFA: accelerating flow analysis with GPUs

Interpretive OpenGL for computer graphics

Interactive Computer Graphics: A Top-Down Approach Using OpenGL (5th Edition)

OpenGL(R) Programming Guide: The Official Guide to Learning OpenGL(R), Version 2 (5th Edition)

OpenGL(R) Shading Language (2nd Edition)

GLSV: Graphics library stereo vision for OpenGL

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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

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