high performance computing on graphics processing units: hgpu.org

hgpu.org » Neural networks

Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs

Mark Van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse

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Tags: Computer science, CUDA, CULA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 295, Tesla C1060

March 20, 2011 by hgpu

Performance and Scalability of GPU-Based Convolutional Neural Networks

Daniel Strigl, Klaus Kofler, Stefan Podlipnig

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Tags: Computer science, CUDA, Neural networks, nVidia

March 8, 2011 by hgpu

Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition

Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella, Juergen Schmidhuber

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Tags: Artificial intelligence, CUDA, Image processing, Image recognition, Neural and Evolutionary Computing, Neural networks, nVidia, nVidia GeForce GTX 280

February 9, 2011 by hgpu

Deep, Big, Simple Neural Nets for Handwritten Digit Recognition

Dan C. Ciresan, Ueli Meier, Luca M. Gambardella, Jurgen Schmidhuber

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Tags: Artificial intelligence, CUDA, Image processing, Image recognition, Neural and Evolutionary Computing, Neural networks, nVidia

February 9, 2011 by hgpu

NeMo: A Platform for Neural Modelling of Spiking Neurons Using GPUs

Andreas Fidjeland, Etienne B. Roesch, Murray P. Shanahan, Wayne Luk

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Source codes

Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 280, Package, Tesla C1060

February 5, 2011 by hgpu

Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors

Dominik Scherer, Hannes Schulz, Sven Behnke

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 285

January 2, 2011 by hgpu

Processing Neocognitron of Face Recognition on High Performance Environment Based on GPU with CUDA Architecture

Gustavo Poli, Jose Hiroki Saito, Joao F. Mari, Marcelo R. Zorza

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Tags: CUDA, Image processing, Image recognition, Neural networks, nVidia, nVidia GeForce 8800 GTX, Video tracking

December 24, 2010 by hgpu

SOMGPU: An unsupervised pattern classifier on Graphical Processing Unit

R. D. Prabhu

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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

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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

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

No More Shading Languages: Compiling C++ to Vulkan Shaders

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

Engineering Supercomputing Platforms for Biomolecular Applications

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

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high performance computing on graphics processing units: hgpu.org

Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs

Performance and Scalability of GPU-Based Convolutional Neural Networks

Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition

Deep, Big, Simple Neural Nets for Handwritten Digit Recognition

NeMo: A Platform for Neural Modelling of Spiking Neurons Using GPUs

Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors

Processing Neocognitron of Face Recognition on High Performance Environment Based on GPU with CUDA Architecture

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

Recent source codes

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

chemtrain: Training Molecular Dynamics Potentials in JAX

microSYCL: SYCL micro-benchmarks repository

XaaS containers

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

SYCL Container

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