high performance computing on graphics processing units: hgpu.org

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GPU Array Access Auto-Tuning

Nicolas Weber

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 440, nVidia GeForce GT 620, nVidia GeForce GT 730, nVidia GeForce GTX 1080, nVidia GeForce GTX 480, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 570, nVidia GeForce GTX 590, nVidia GeForce GTX 680, nVidia GeForce GTX 780, nVidia GeForce GTX 980, nVidia GeForce GTX Titan X, Performance, performance portability, Tesla C2070, Tesla K20, Thesis

August 8, 2017 by hgpu

An hybrid AES-256-GCM implementation for NEON CPU & CUDA GPU

Romain Dolbeau

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Tags: AES, Computer science, CUDA, nVidia, nVidia GeForce GT 620, Package, Security

September 28, 2014 by hgpu

Graphics Processing Unit Bloom Filters: Classical and Probabilistic

Joshua Michael Pyle

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Tags: Bloom filter, Computer science, CUDA, Data Structures and Algorithms, Databases, nVidia, nVidia GeForce GT 620, Security, Thesis

August 13, 2014 by hgpu

Accelerating Fast Fourier Transforms Using Hadoop and CUDA

Rostislav Tsiomenko, Bradley S. Rees

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Tags: Computer science, CUDA, FFT, nVidia, nVidia GeForce GT 620

January 22, 2013 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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high performance computing on graphics processing units: hgpu.org

GPU Array Access Auto-Tuning

An hybrid AES-256-GCM implementation for NEON CPU & CUDA GPU

Graphics Processing Unit Bloom Filters: Classical and Probabilistic

Accelerating Fast Fourier Transforms Using Hadoop and CUDA

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