high performance computing on graphics processing units: hgpu.org

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Comparison of GPU Architectures for Asynchronous Communication with Finite-Differencing Applications

D.P. Playne, K.A. Hawick

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Tags: Computer science, CUDA, Finite difference, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480, Partial differential equations, PDEs

February 13, 2011 by hgpu

Auto-Generation of Parallel Finite-Differencing Code for MPI, TBB and CUDA

D. P. Playne, K. A. Hawick

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Tags: Code generation, Computer science, CUDA, Finite difference, MPI, nVidia, nVidia GeForce GTX 480

February 13, 2011 by hgpu

Copperhead: Compiling an embedded data parallel language

Bryan Catanzaro, Michael Garland and Kurt Keutzer

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Tags: Code generation, Compilers, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 480, Package

February 13, 2011 by hgpu

Efficient Sparse Voxel Octrees – Analysis, Extensions, and Implementation

Samuli Laine, Tero Karras

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Package, Rendering

February 12, 2011 by hgpu

Efficient sparse voxel octrees

Samuli Laine, Tero Karras

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Package, Rendering

February 12, 2011 by hgpu

Increasing Memory Miss Tolerance for SIMD Cores

David Tarjan, Jiayuan Meng and Kevin Skadron

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Tags: Computer science, Hardware Architecture, Performance

February 12, 2011 by hgpu

Image Space Gathering

Austin Robison, Peter Shirley

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Tags: 3D Graphics and Realism, Algorithms, Cg, Computer science, nVidia, nVidia Quadro FX 5800, OpenGL

February 12, 2011 by hgpu

Spatial splits in bounding volume hierarchies

Martin Stich, Heiko Friedrich, Andreas Dietrich

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Raytracing

February 12, 2011 by hgpu

Understanding the efficiency of ray traversal on GPUs

Timo Aila, Samuli Laine

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Tags: 3D Graphics and Realism, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 285, Raytracing

February 12, 2011 by hgpu

A meshless hierarchical representation for light transport

Jaakko Lehtinen, Matthias Zwicker, Emmanuel Turquin, Janne Kontkanen, Fredo Durand, Francois Sillion, and Timo Aila

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce 8800 Ultra, Rendering

February 12, 2011 by hgpu

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

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Comparison of GPU Architectures for Asynchronous Communication with Finite-Differencing Applications

Auto-Generation of Parallel Finite-Differencing Code for MPI, TBB and CUDA

Copperhead: Compiling an embedded data parallel language

Efficient Sparse Voxel Octrees – Analysis, Extensions, and Implementation

Efficient sparse voxel octrees

Increasing Memory Miss Tolerance for SIMD Cores

Image Space Gathering

Spatial splits in bounding volume hierarchies

Understanding the efficiency of ray traversal on GPUs

A meshless hierarchical representation for light transport

Loop Transformation Recipes for Code Generation and Auto-Tuning

Automated Dynamic Analysis of CUDA Programs

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Over-synchronization in GPU Programs

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