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Maximize Performance on GPUs Using the Rake-based Optimization: A Case Study

Jianbin Fang, Ana Lucia Varbanescu, Henk Sips

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Tags: Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenCL

April 18, 2012 by hgpu

MetaCL – A Model-Based Approach to Programming Heterogeneous Architectures Using OpenCL

William Spencer Crosswy

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Tags: Algorithms, ATI, ATI Radeon HD 6970, Computer science, Heterogeneous systems, Numerical Analysis, OpenCL, Thesis

April 18, 2012 by hgpu

OpenCL vs. OpenMP: A Programmability Debate

Jie Shen, Jianbin Fang, Ana Lucia Varbanescu, Henk Sips

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Tags: Benchmarking, Computer science, OpenCL, OpenMP

April 18, 2012 by hgpu

High-Performance Matrix-Vector Multiplication on the GPU

Hans Henrik Brandenborg Sorensen

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Tags: BLAS, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C2050

April 18, 2012 by hgpu

Implementation of Massive Artificial Neural Networks with CUDA

Domen Verber

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 595, Tesla C1060

April 17, 2012 by hgpu

Auto-tuning interactive ray tracing using an analytical GPU architecture model

Per Ganestam, Michael Doggett

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Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 5870, Computer science, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 580, OpenCL, Raytracing, Rendering

April 17, 2012 by hgpu

High Performance Stencil Code Algorithms for GPGPUs

Andreas Schäfer and Dietmar Fey

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Tags: Computer science, nVidia, nVidia GeForce GTX 480, Tesla C2050

April 17, 2012 by gentryx

Auto-Tuning of Level 1 and Level 2 BLAS for GPUs

Hans Henrik Brandenborg Sorensen

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Tags: BLAS, Computer science, CUDA, Linear Algebra, nVidia, Tesla C2050

April 16, 2012 by hgpu

Heterogeneous Highly Parallel Implementation of Matrix Exponentiation Using GPU

Chittampally Vasanth Raja, Srinivas Balasubramanian, Prakash S. Raghavendra

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Tags: Computer science, Heterogeneous systems, Mathematical Software, Numerical Analysis, nVidia, OpenCL, Tesla C2050

April 16, 2012 by hgpu

Efficient Hash Tables on the GPU

Dan Anthony Feliciano Alcantara

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Tags: Algorithms, Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, Thesis

April 14, 2012 by hgpu

An implementation of the tile QR factorization for a GPU and multiple CPUs

Jakub Kurzak, Rajib Nath, Peng Du, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, nVidia GeForce GTX 480

April 14, 2012 by hgpu

Parallelization of PageRank on Multicore Processors

Tarun Kumar, Parikshit Sondhi, Ankush Mittal

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Tags: Algorithms, Cell processor, Computer science, CUDA, nVidia, nVidia GeForce GTX 280

April 14, 2012 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

Applications

Maximize Performance on GPUs Using the Rake-based Optimization: A Case Study

MetaCL – A Model-Based Approach to Programming Heterogeneous Architectures Using OpenCL

OpenCL vs. OpenMP: A Programmability Debate

High-Performance Matrix-Vector Multiplication on the GPU

Implementation of Massive Artificial Neural Networks with CUDA

Auto-tuning interactive ray tracing using an analytical GPU architecture model

High Performance Stencil Code Algorithms for GPGPUs

Auto-Tuning of Level 1 and Level 2 BLAS for GPUs

Heterogeneous Highly Parallel Implementation of Matrix Exponentiation Using GPU

Efficient Hash Tables on the GPU

An implementation of the tile QR factorization for a GPU and multiple CPUs

Parallelization of PageRank on Multicore Processors

Recent source codes

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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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