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High-performance bankruptcy prediction model using Graphics Processing Units

Bernardete Ribeiro, Noel Lopes, Catarina Silva

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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

Neural network modeling on evolution of hydration reaction for Portland cement

Lin Wang, Bo Yang, Yuehui Chen, Xiuyang Zhao, Jun Chang, Haiyang Wang

Tags: Chemistry, Materials Science, Neural networks, Physics

June 20, 2011 by hgpu

A comparative study of GPU programming models and architectures using neural networks

Vivek Pallipuram, Mohammad Bhuiyan, Melissa Smith

Tags: ATI, Computer science, CUDA, Neural networks, nVidia, OpenCL, Performance, Tesla C2050

June 14, 2011 by hgpu

Parallel implementation of artificial neural network training

S. Scanzio, S. Cumani, R. Gemello, F. Mana, P. Laface

Tags: Acoustics, CUDA, Neural networks, nVidia, Signal processing, Speech recognition

June 14, 2011 by hgpu

CuParcone A High-Performance Evolvable Neural Network Model

Xiaoxi Chen, Lin Gao, Hugo de Garis

Tags: CUDA, Image processing, Image recognition, Neural networks, nVidia

June 14, 2011 by hgpu

Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs

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

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Tags: Artificial intelligence, Computer vision, Image processing, Image recognition, Neural networks, nVidia, nVidia GeForce GTX 480

June 10, 2011 by hgpu

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

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

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

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

Neural network modeling on evolution of hydration reaction for Portland cement

A comparative study of GPU programming models and architectures using neural networks

Parallel implementation of artificial neural network training

CuParcone A High-Performance Evolvable Neural Network Model

Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs

Scene image classfying via the Partially Connected Neural Network

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

Recent source codes

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

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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