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Application of the OpenCL API for Implementation of the NIPALS Algorithm for Principal Component Analysis of Large Data Sets

Joshua C. Bowden

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Tags: BLAS, Computer science, GPU cluster, MPI, nVidia, nVidia Quadro FX 580, OpenCL, Performance, Tesla C1060, Tesla S2050, Tesla T10

March 31, 2011 by hgpu

Implementation of Smith-Waterman Algorithm in OpenCL for GPUs

Dzmitry Razmyslovich, Guillermo Marcus, Markus Gipp, Marc Zapatka, Andreas Szillus

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480, OpenCL, Poster, Sequence alignment, Smith-Waterman algorithm

March 31, 2011 by hgpu

Evaluation Framework for GPU Performance Based on OpenCL Standard

M. Jurecko, J. Kocisova, J. Busa, T. Kasanicky, M. Domiter, M. Zvada

Tags: ATI, Computer science, GPU cluster, nVidia, OpenCL, Performance

March 31, 2011 by hgpu

CUDACL: A tool for CUDA and OpenCL programmers

Ferosh Jacob, David Whittaker, Sagar Thapaliya, Purushotham Bangalore, Marjan Mernik, Jeff Gray

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Tags: Computer science, CUDA, High-level Languages, Java, nVidia, nVidia GeForce GTX 260, OpenCL

March 31, 2011 by hgpu

OpenCL – An effective programming model for data parallel computations at the Cell Broadband Engine

J. Breitbart, C. Fohry

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

March 31, 2011 by hgpu

PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

Andreas Klockner, Nicolas Pinto, Yunsup Lee, Bryan Catanzaro, Paul Ivanov, Ahmed Fasih

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Source codes

Tags: Code generation, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 9400 M, nVidia GeForce GTX 295, nVidia GeForce GTX 480, OpenCL, Package, PyOpenCL, Python, Software Engineering, Tesla C1060

March 30, 2011 by hgpu

CuHMMer: A load-balanced CPU-GPU cooperative bioinformatics application

Ping Yao, Hong An, Mu Xu, Gu Liu, Xiaoqiang Li, Yaobin Wang, Wenting Han

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce 8800 GTX, Pattern Search

March 29, 2011 by hgpu

Multigrid on GPU: Tackling Power Grid Analysis on parallel SIMT platforms

Zhuo Feng, Peng Li

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Tags: CAD, Computational Engineering, Computer science, CUDA, nVidia, nVidia GeForce 8800 Ultra

March 29, 2011 by hgpu

5.6: GPU enhancement of FDTD-PIC plasma-wave simulations

A.J. Woods, L.D. Ludeking

Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, Plasma physics

March 29, 2011 by hgpu

Multi-mass solvers for lattice QCD on GPUs

A. Alexandru, C. Pelissier, B. Gamari, F. Lee

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, Physics, QCD

March 29, 2011 by hgpu

GPU-Based Shooting and Bouncing Ray Method for Fast RCS Prediction

Yubo Tao, Hai Lin, Hujun Bao

Tags: CUDA, Electrodynamics, KD-tree, nVidia, Optics, Raytracing

March 28, 2011 by hgpu

An Empirically Optimized Radix Sort for GPU

B. Huang, Jinlan Gao, Xiaoming Li

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Tags: Algorithms, Computer science, MPI, nVidia, Performance, Sorting

March 28, 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

Application of the OpenCL API for Implementation of the NIPALS Algorithm for Principal Component Analysis of Large Data Sets

Implementation of Smith-Waterman Algorithm in OpenCL for GPUs

Evaluation Framework for GPU Performance Based on OpenCL Standard

CUDACL: A tool for CUDA and OpenCL programmers

OpenCL – An effective programming model for data parallel computations at the Cell Broadband Engine

PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

CuHMMer: A load-balanced CPU-GPU cooperative bioinformatics application

Multigrid on GPU: Tackling Power Grid Analysis on parallel SIMT platforms

5.6: GPU enhancement of FDTD-PIC plasma-wave simulations

Multi-mass solvers for lattice QCD on GPUs

GPU-Based Shooting and Bouncing Ray Method for Fast RCS Prediction

An Empirically Optimized Radix Sort for GPU

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Over-synchronization in GPU Programs

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Mixed-precision finite element kernels

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