high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

A New Era in Scientific Computing: Domain Decomposition Methods in Hybrid CPU-GPU Architectures

M. Papadrakakis, G. Stavroulakis, A. Karatarakis

Tags: Computational Engineering, Computer science, Finite difference, Finite element method

January 25, 2011 by hgpu

On the Visualization of Social and other Scale-Free Networks

Yuntao Jia, Jared Hoberock, Michael Garland, John C. Hart

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Tags: Algorithms, Computer science, Visualization

January 24, 2011 by hgpu

MLS-based scalar fields over triangle meshes and their application in mesh processing

Jingyi Jin, Michael Garland, Edgar A. Ramos

Tags: 3D Graphics and Realism, Algorithms, Computer science, Triangular meshes

January 24, 2011 by hgpu

CUDASA: Compute Unified Device and Systems Architecture

M. Strengert, C. Muller, C. Dachsbacher, and T. Ertl

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Tags: Computer science, CUDA, GPU cluster, High-level Languages, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 8800 GTX, nVidia Quadro FX 5600

January 24, 2011 by hgpu

Exploiting More Parallelism from Applications Having Generalized Reductions on GPU Architectures

Xiao-Long Wu, Nady Obeid, Wen-Mei Hwu

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

January 24, 2011 by hgpu

Data Layout Transformation for Structured-Grid Codes on GPU

I-Jui Sung, Wen-Mei Hwu

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 280

January 24, 2011 by hgpu

Program Optimization Strategies for Data-Parallel Many-Core Processors

Shane Ryoo

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Thesis

January 24, 2011 by hgpu

Efficient Parallel Scan Algorithms for GPUs

Shubhabrata Sengupta, Mark Harris, Michael Garland

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Package

January 24, 2011 by hgpu

Efficient Sparse Matrix-Vector Multiplication on CUDA

Nathan Bell and Michael Garland

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 280, Sparse matrix

January 24, 2011 by hgpu

Parallel Genetic Algorithms on Programmable Graphics Hardware

Qizhi Yu, Chongcheng Chen and Zhigeng Pan

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Tags: Algorithms, Cg, Computer science, Genetic programming, nVidia, nVidia GeForce 6800 GT

January 23, 2011 by hgpu

Parallel Evolutionary Algorithms on Consumer-Level Graphics Processing Unit

Tien-Tsin Wong and Man Leung Wong

Tags: Algorithms, Computer science, Evolutionary Computations, Genetic programming

January 23, 2011 by hgpu

Parallel hybrid genetic algorithms on Consumer-Level graphics hardware

Man-Leung Wong, Tien-Tsin Wong

Tags: Algorithms, Computer science, Genetic programming

January 23, 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

A New Era in Scientific Computing: Domain Decomposition Methods in Hybrid CPU-GPU Architectures

On the Visualization of Social and other Scale-Free Networks

MLS-based scalar fields over triangle meshes and their application in mesh processing

CUDASA: Compute Unified Device and Systems Architecture

Exploiting More Parallelism from Applications Having Generalized Reductions on GPU Architectures

Data Layout Transformation for Structured-Grid Codes on GPU

Program Optimization Strategies for Data-Parallel Many-Core Processors

Efficient Parallel Scan Algorithms for GPUs

Efficient Sparse Matrix-Vector Multiplication on CUDA

Parallel Genetic Algorithms on Programmable Graphics Hardware

Parallel Evolutionary Algorithms on Consumer-Level Graphics Processing Unit

Parallel hybrid genetic algorithms on Consumer-Level graphics hardware

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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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