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hgpu.org » Programming » CUDA

An asymmetric distributed shared memory model for heterogeneous parallel systems

Isaac Gelado, John E. Stone, Javier Cabezas, Sanjay Patel, Nacho Navarro, Wen-mei W. Hwu

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

January 6, 2011 by hgpu

Efficient gather and scatter operations on graphics processors

Bingsheng He, Naga K. Govindaraju, Qiong Luo, Burton Smith

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800, Search, Sorting, Sparse matrix

January 6, 2011 by hgpu

q-state Potts model metastability study using optimized GPU-based Monte Carlo algorithms

Ezequiel E. Ferrero, Juan Pablo De Francesco, Nicolas Wolovick, Sergio A. Cannas

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Source codes

Tags: Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, nVidia GeForce GTX 480, Package, Physics, Statistical Mechanics

January 6, 2011 by hgpu

Speeding Up Homomorpic Hashing Using GPUs

K. Zhao, X. Chu, M. Z. Wang, Y. Jiang

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

January 5, 2011 by hgpu

Significantly Improved Performances Of The Cryptographically Generated Addresses Thanks To ECC And GPGPU

Tony Cheneau, Aymen Boudguiga, Maryline Laurent

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 8600 GTS, Security

January 5, 2011 by hgpu

A design case study: CPU vs. GPGPU vs. FPGA

Daniel L. Rosenband, Till Rosenband

Tags: Computer science, CUDA, FPGA, nVidia

January 5, 2011 by hgpu

Revisiting sorting for GPGPU stream architectures

Duane G. Merrill, Andrew S. Grimshaw

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 9800 GT, nVidia GeForce 9800 GTX, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia Quadro FX 5600, Sorting

January 5, 2011 by hgpu

A complete modular resultant algorithm targeted for realization on graphics hardware

Pavel Emeliyanenko

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280

January 5, 2011 by hgpu

Modular Resultant Algorithm for Graphics Processors

Pavel Emeliyanenko

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280

January 5, 2011 by hgpu

Nuclei: GPU-Accelerated Many-Core Network Coding

Hassan Shojania, Baochun Li, Xin Wang

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GT, nVidia GeForce GTX 280

January 4, 2011 by hgpu

Practical Random Linear Network Coding on GPUs

Xiaowen Chu, Kaiyong Zhao and Mea Wang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Programming techniques

January 4, 2011 by hgpu

A parameterisable and scalable Smith-Waterman algorithm implementation on CUDA-compatible GPUs

Cheng Ling, Khaled Benkrid, Tsuyoshi Hamada

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Tags: Bioinformatics, Biology, Computational biology, CUDA, nVidia, nVidia GeForce 8800 GTX, Sequence alignment, Smith-Waterman algorithm

January 4, 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

Programming

An asymmetric distributed shared memory model for heterogeneous parallel systems

Efficient gather and scatter operations on graphics processors

q-state Potts model metastability study using optimized GPU-based Monte Carlo algorithms

Speeding Up Homomorpic Hashing Using GPUs

Significantly Improved Performances Of The Cryptographically Generated Addresses Thanks To ECC And GPGPU

A design case study: CPU vs. GPGPU vs. FPGA

Revisiting sorting for GPGPU stream architectures

A complete modular resultant algorithm targeted for realization on graphics hardware

Modular Resultant Algorithm for Graphics Processors

Nuclei: GPU-Accelerated Many-Core Network Coding

Practical Random Linear Network Coding on GPUs

A parameterisable and scalable Smith-Waterman algorithm implementation on CUDA-compatible GPUs

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Over-synchronization in GPU Programs

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