Neural and Evolutionary Computing | Page 4

hgpu.org » Neural and Evolutionary Computing

Somoclu: An Efficient Distributed Library for Self-Organizing Maps

Peter Wittek

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Mathematical Software, MPI, Neural and Evolutionary Computing, nVidia, Package, Self-organizing map, Tesla M2050, Text mining

May 8, 2013 by hgpu

A Massively Parallel Associative Memory Based on Sparse Neural Networks

Zhe Yao, Vincent Gripon, Michael G. Rabbat

View

Download (PDF)

Tags: Artificial intelligence, Computer science, CUDA, Neural and Evolutionary Computing, Neural networks, nVidia, Tesla C1060

March 31, 2013 by hgpu

Speeding Up Model Building for ECGA on CUDA Platform

Chung-Yu Shao, Tian-Li Yu

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Neural and Evolutionary Computing, nVidia, Tesla C2050

March 9, 2013 by hgpu

Evolving Neural Networks on GPUs

Johannes Hofmann

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Finance, Neural and Evolutionary Computing, Neural networks, nVidia, nVidia GeForce GTX 480, Tesla C1060

December 7, 2011 by hgpu

Fast QAP Solver with ACO and Taboo Search on GPU using Move-Cost Adjusted Thread Assignment

Shigeyoshi Tsutsui, Noriyuki Fujimoto

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 480, Search

November 5, 2011 by hgpu

Simulating Spiking Neural P systems without delays using GPUs

Francis Cabarle, Henry Adorna, Miguel A. Martinez-del-Amor

View

Download (PDF)

Tags: Computer science, CUDA, Membrane computing, Neural and Evolutionary Computing, nVidia

April 12, 2011 by hgpu

Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition

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

View

Download (PDF)

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

View

Download (PDF)

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

February 9, 2011 by hgpu

High-Performance Neural Networks for Visual Object Classification

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

View

Download (PDF)

Tags: Artificial intelligence, Computer science, CUDA, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580

February 2, 2011 by hgpu

Solving $k$-Nearest Vector Problem on Multiple Graphics Processors

Kimikazu Kato, Tikara Hosino

View

Download (PDF)

Tags: Computer science, CUDA, Data Structures and Algorithms, Information Retrieval, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 280

November 8, 2010 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Somoclu: An Efficient Distributed Library for Self-Organizing Maps

A Massively Parallel Associative Memory Based on Sparse Neural Networks

Speeding Up Model Building for ECGA on CUDA Platform

Evolving Neural Networks on GPUs

Fast QAP Solver with ACO and Taboo Search on GPU using Move-Cost Adjusted Thread Assignment

Simulating Spiking Neural P systems without delays using GPUs

Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition

Deep, Big, Simple Neural Nets for Handwritten Digit Recognition

High-Performance Neural Networks for Visual Object Classification

Solving $k$-Nearest Vector Problem on Multiple Graphics Processors

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

Most viewed papers (last 30 days)