high performance computing on graphics processing units: hgpu.org

hgpu.org » Neural networks

Flexible, high performance convolutional neural networks for image classification

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

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Tags: Benchmarking, Computer science, CUDA, Image processing, Neural networks, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580

October 5, 2011 by hgpu

Implementation of the optimization algorithms on GPGPU architecture and multi-cores

Li Liang

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Tags: Algorithms, Computer science, CUDA, Neural networks, nVidia, OpenCL, Optimization

October 3, 2011 by hgpu

Simulating Biological-Inspired Spiking Neural Networks with OpenCL

Jorn Hoffmann, Karim El-Laithy, Frank Guttler, Martin Bogdan

Tags: Computer science, Data parallelism, Neural networks, OpenCL

August 18, 2011 by hgpu

Parallel Batch Training of the Self-Organizing Map Using OpenCL

Masahiro Takatsuka, Michael Bui

Tags: Computer science, Neural networks, OpenCL, Self-organizing map

August 18, 2011 by hgpu

Accelerated simulation of spiking neural networks using GPUs

Andreas K. Fidjeland, Murray P. Shanahan

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Tags: Biology, CUDA, Neural networks, nVidia, Tesla C1060

August 6, 2011 by hgpu

Potential contribution of CNN-based solving of stiff ODEs and PDEs to enabling real-time Computational Engineering

J.C. Chedjou, K. Kyamakya, U.A. Khan, M.A. Latif

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Tags: Cellular neural networks, CNN, Computational Engineering, Computer science, Differential equations, DSP, FPGA, Maxwell's equations, Neural networks, ODEs, Optimization, Ordinary differential equations, Partial differential equations, PDEs

August 2, 2011 by hgpu

FPGA Accelerated Simulation of Biologically Plausible Spiking Neural Networks

David B. Thomas, Wayne Luk

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Tags: Computer science, CUDA, FPGA, Neural networks, nVidia, nVidia GeForce GT 200, Performance

July 29, 2011 by hgpu

High-performance bankruptcy prediction model using Graphics Processing Units

Bernardete Ribeiro, Noel Lopes, Catarina Silva

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Source codes

Tags: Finance, Neural networks, nVidia GeForce 8600 GT, nVidia GeForce GTX 280, Package

July 16, 2011 by hgpu

Computing spike-based convolutions on GPUs

Jayram Moorkanikara Nageswaran, Nikil Dutt, Yingxue Wang, Tobi Delbrueck

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

July 14, 2011 by hgpu

Real-time simulation of a spiking neural network model of the basal ganglia circuitry using general-purpose computing on graphics processing units

Jun Igarashi, Osamu Shouno, Tomoki Fukai, Hiroshi Tsujino

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Tags: Computer science, Heterogeneous systems, Neural networks, nVidia, nVidia GeForce GTX 280, Visualization

July 12, 2011 by hgpu

Parallel implementation of a spiking neuronal network model of unsupervised olfactory learning on NVidia CUDA

T. Nowotny

Tags: Biology, CUDA, Neural networks, nVidia, Tesla C870

July 8, 2011 by hgpu

Towards reverse engineering the brain: Modeling abstractions and simulation frameworks

Jayram Moorkanikara Nageswaran, Micah Richert, Nikil Dutt, Jeffrey L Krichmar

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Tags: Computer science, Neural Computing, Neural networks, Neuroscience

July 4, 2011 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

Flexible, high performance convolutional neural networks for image classification

Implementation of the optimization algorithms on GPGPU architecture and multi-cores

Simulating Biological-Inspired Spiking Neural Networks with OpenCL

Parallel Batch Training of the Self-Organizing Map Using OpenCL

Accelerated simulation of spiking neural networks using GPUs

Potential contribution of CNN-based solving of stiff ODEs and PDEs to enabling real-time Computational Engineering

FPGA Accelerated Simulation of Biologically Plausible Spiking Neural Networks

High-performance bankruptcy prediction model using Graphics Processing Units

Computing spike-based convolutions on GPUs

Real-time simulation of a spiking neural network model of the basal ganglia circuitry using general-purpose computing on graphics processing units

Parallel implementation of a spiking neuronal network model of unsupervised olfactory learning on NVidia CUDA

Towards reverse engineering the brain: Modeling abstractions and simulation frameworks

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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