high performance computing on graphics processing units: hgpu.org

hgpu.org » Neural networks

Scene image classfying via the Partially Connected Neural Network

Li-lan Pan, Yue Zhang

Tags: Image processing, Image registration, Neural networks

June 6, 2011 by hgpu

Acceleration of spiking neural networks in emerging multi-core and GPU architectures

Mohammad A. Bhuiyan, Vivek K. Pallipuram, Melissa C. Smith

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

May 28, 2011 by hgpu

A 57mW embedded mixed-mode neuro-fuzzy accelerator for intelligent multi-core processor

Jinwook Oh, Junyoung Park, Gyeonghoon Kim, Seungjin Lee, Hoi-Jun Yoo

Tags: Artificial intelligence, ASIC, Computer science, Energy-efficient computing, Neural networks

May 4, 2011 by hgpu

Accelerating BP Neural Network-Based Image Compression by CPU and GPU Cooperation

Jinxian Lin, Jianghong Lin

Tags: Compression, Computer science, Image processing, Neural networks

May 3, 2011 by hgpu

GPU based Partially Connected Neural Evolutionary network and its application on gender recognition with face images

Xiao-Xi Chen, Ming-Hui Shi, H. de Garis

Tags: Computer science, Computer vision, CUDA, Image recognition, Neural networks, nVidia

April 30, 2011 by hgpu

Using parallel GPU architecture for simulation of planar I/F networks

Jan-Phillip Tiesel, Anthony S. Maida

Tags: Computer science, Neural networks, Shaders

April 23, 2011 by hgpu

Poster: GPU-accelerated artificial neural network for QSAR modeling

Edward W. Lowe Jr., Nils Woetzel, Jens Meiler

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Tags: ATI, ATI Radeon HD 5970, Biology, Neural networks, nVidia, nVidia GeForce GTX 470, OpenCL, Poster, Tesla C1060, Tesla C2050

April 1, 2011 by hgpu

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

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Scene image classfying via the Partially Connected Neural Network

Acceleration of spiking neural networks in emerging multi-core and GPU architectures

A 57mW embedded mixed-mode neuro-fuzzy accelerator for intelligent multi-core processor

Accelerating BP Neural Network-Based Image Compression by CPU and GPU Cooperation

GPU based Partially Connected Neural Evolutionary network and its application on gender recognition with face images

Using parallel GPU architecture for simulation of planar I/F networks

Poster: GPU-accelerated artificial neural network for QSAR modeling

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

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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