high performance computing on graphics processing units: hgpu.org

hgpu.org » Neural networks

SOMGPU: An unsupervised pattern classifier on Graphical Processing Unit

R. D. Prabhu

View

Download (PDF)

Tags: Computer science, DirectX, Neural networks, nVidia, nVidia GeForce 6150, Self-organizing map

December 8, 2010 by hgpu

Graphics Hardware Implementation of the Parameter-Less Self-organising Map

Alexander Campbell, Erik Berglund, Alexander Streit

View

Download (PDF)

Tags: Cg, Computer science, Neural networks, nVidia, nVidia GeForce 6800, Self-organizing map

November 30, 2010 by hgpu

A dynamically configurable coprocessor for convolutional neural networks

Srimat Chakradhar, Murugan Sankaradas, Venkata Jakkula, Srihari Cadambi

Tags: Computer science, FPGA, Neural networks

November 22, 2010 by hgpu

Parallel implementation of Artificial Neural Network training for speech recognition

Stefano Scanzio, Sandro Cumani, Roberto Gemello, Franco Mana, P. Laface

Tags: Computer science, CUDA, Neural networks, nVidia

November 18, 2010 by hgpu

A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors

Jayram Moorkanikara M. Nageswaran, Nikil Dutt, Jeffrey L. Krichmar, Alex Nicolau, Alexander V. Veidenbaum

Tags: Biology, Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 280, STDP

November 13, 2010 by hgpu

A Markovian event-based framework for stochastic spiking neural networks

Jonathan Touboul, Olivier Faugeras

View

Download (PDF)

Tags: Algorithms, Mathematics, Neural networks, Neurons and Cognition, Statistics, Statistics Theory

November 13, 2010 by hgpu

Multifold Acceleration of Neural Network Computations Using GPU

Alexander Guzhva, Sergey Dolenko, Igor Persiantsev

Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 260

November 8, 2010 by hgpu

Efficient simulation of large-scale spiking neural networks using CUDA graphics processors

Jayram M. Nageswaran, Nikil Dutt, Jeffrey L. Krichmar, Alex Nicolau, Alex Veidenbaum

View

Download (PDF)

Tags: Biology, Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 280, STDP

November 6, 2010 by hgpu

Using GPUs for Machine Learning Algorithms

Dave Steinkrau, Patrice Y. Simard, Ian Buck

Tags: Computer science, Neural networks, Pattern recognition

November 5, 2010 by hgpu

Approximate Dynamic Programming and Neural Networks on Game Hardware

R. J. Meuth, D. C. Wunsch

View

Download (PDF)

Tags: Computer science, Neural networks, Review

November 4, 2010 by hgpu

Artificial neural network computation on graphic process unit

Zhongwen Luo, Hongzhi Liu, Xincai Wu

View

Download (PDF)

Tags: ATI, ATI Radeon 9550, Computer science, Neural networks, nVidia, nVidia GeForce 6200, nVidia GeForce 6xxx, OpenGL

November 4, 2010 by hgpu

Neural Network Implementation Using CUDA and OpenMP

Honghoon Jang, Anjin Park, Keechul Jung

Tags: Computer science, CUDA, Neural networks, nVidia, OpenMP

November 3, 2010 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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

SOMGPU: An unsupervised pattern classifier on Graphical Processing Unit

Graphics Hardware Implementation of the Parameter-Less Self-organising Map

A dynamically configurable coprocessor for convolutional neural networks

Parallel implementation of Artificial Neural Network training for speech recognition

A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors

A Markovian event-based framework for stochastic spiking neural networks

Multifold Acceleration of Neural Network Computations Using GPU

Efficient simulation of large-scale spiking neural networks using CUDA graphics processors

Using GPUs for Machine Learning Algorithms

Approximate Dynamic Programming and Neural Networks on Game Hardware

Artificial neural network computation on graphic process unit

Neural Network Implementation Using CUDA and OpenMP

Recent source codes

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

Gaia AVU-GSR

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

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

Most viewed papers (last 30 days)