high performance computing on graphics processing units: hgpu.org

hgpu.org » Green

Using DRBL to Deploy MPICH2 and CUDA on Green Computing

Wu Jiun-Yu, Wang Yao-Tsung, Shiau Steven, Wang Hui Ching

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Tags: Computer science, CUDA, Energy-efficient computing, Green, nVidia, nVidia GeForce 9800 GT

November 1, 2011 by hgpu

Power Management and Optimization

Hari Sundararajan

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Tags: Computer science, CUDA, Energy-efficient computing, Green, nVidia, nVidia GeForce GTX 260, Performance, Thesis

October 2, 2011 by hgpu

Optimizing a Semantic Comparator using CUDA-enabled Graphics Hardware

Aalap Tripathy, Suneil Mohan, Rabi Mahapatra

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Tags: Bloom filter, Computer science, CUDA, Green, Hashing, nVidia, Semantic indexing, Tesla C870

October 1, 2011 by hgpu

Energy-efficient algorithms

Susanne Albers

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Tags: Algorithms, Computer science, Energy-efficient computing, Green, Review

February 11, 2011 by hgpu

A first look at integrated GPUs for green high-performance computing

T. Scogland, H. Lin, W. Feng

Tags: Computer science, Embedded high-performance computing, Energy-efficient computing, Green, Performance

November 2, 2010 by hgpu

HLS4ML

Fast inference of deep neural networks in FPGAs for particle physics

cytonRL: reinforcement learning, deep Q-network, double DQN, dueling DQN, prioritized experience replay

CytonRL: an Efficient Reinforcement Learning Open-source Toolkit Implemented in C++

DLL: Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

DLL: A Blazing Fast Deep Neural Network Library

HCC: Open Source, Optimizing C++ Compiler for Heterogeneous Compute for the ROCm GPU Computing Platform

Evaluating Performance Tradeoffs on the Radeon Open Compute Platform

pynufft: Python non-uniform fast Fourier transform (NUFFT)

Python Non-Uniform Fast Fourier Transform (PyNUFFT): An Accelerated Non-Cartesian MRI Package on a Heterogeneous Platform (CPU/GPU)

MALBEC: a new CUDA-C ray-tracer in General Relativity

Volna-OP2: OP2 port of the original Volna code

The VOLNA-OP2 Tsunami Code (Version 1.0)

CuLDA_CGS: Solving Large-scale LDA Problems on GPUs

MeterPU: Generic Portable Measurement Framework for Multicore CPU and Multi-GPU Systems

Programming Abstractions and Optimization Techniques for GPU-based Heterogeneous Systems

GHOST: General, Hybrid and Optimized Sparse Toolkit

Chebyshev Filter Diagonalization on Modern Manycore Processors and GPGPUs

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Helsinki, Finland

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27-29

No.2 Chong Wen Road, Nan An District, Chongqing 400065, P. R. China

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The 2th International Conference on Robotics and Automation Sciences (ICRAS), 2018

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high performance computing on graphics processing units: hgpu.org

Using DRBL to Deploy MPICH2 and CUDA on Green Computing

Power Management and Optimization

Optimizing a Semantic Comparator using CUDA-enabled Graphics Hardware

Energy-efficient algorithms

A first look at integrated GPUs for green high-performance computing

Recent source codes

HLS4ML

cytonRL: reinforcement learning, deep Q-network, double DQN, dueling DQN, prioritized experience replay

DLL: Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

HCC: Open Source, Optimizing C++ Compiler for Heterogeneous Compute for the ROCm GPU Computing Platform

pynufft: Python non-uniform fast Fourier transform (NUFFT)

MALBEC: a new CUDA-C ray-tracer in General Relativity

Volna-OP2: OP2 port of the original Volna code

CuLDA_CGS: Solving Large-scale LDA Problems on GPUs

MeterPU: Generic Portable Measurement Framework for Multicore CPU and Multi-GPU Systems

GHOST: General, Hybrid and Optimized Sparse Toolkit

Most viewed papers (last 30 days)

Featured events

International Conference on Biomedicine & Pharmacotherapy, 2018

8th International Workshop on Computer Science and Engineering (WCSE’18), 2018

International Conference on Robotics, Artificial Intelligence, Automation and Mechatronics, 2018

The 3rd IEEE International Conference on Image, Vision and Computing (ICIVC), 2018

The 2th International Conference on Robotics and Automation Sciences (ICRAS), 2018