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Speeding up the evaluation of evolutionary learning systems using GPGPUs

Maria Franco, Natalio Krasnogor, Jaume Bacardit

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Tags: BioHEL, Evolutionary Computations, LCS, Learning Classifier System, Machine learning, Tesla C1060

November 1, 2012 by mariaux

Automatic Implementation of Evolutionary Algorithms on GPUs using ESDL

Steve Dower

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Source codes

Tags: Algorithms, Computer science, Evolutionary Computations, Heterogeneous systems, nVidia, nVidia GeForce GT 540 M

May 19, 2012 by hgpu

Performance Evaluation of Particle Swarm Optimization Algorithms on GPU Using CUDA

V. Krishna Reddy, L.S.S. Reddy

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, nVidia, nVidia GeForce GTS 250, Optimization

February 5, 2012 by hgpu

Parallel particle swarm optimization using GPGPU

Iliana Castro Liera, Marco Antonio Castro Liera, Jesus Antonio Castro

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, nVidia, nVidia GeForce GTX 460, Optimization

January 26, 2012 by hgpu

EASEA: A Generic Optimization Tool for GPU Machines in Asynchronous Island Model

Laurent A. Baumes, Frederic Kruger, Pierre Collet

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Source codes

Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Materials Science, nVidia, nVidia GeForce GTX 275, Package

January 21, 2012 by hgpu

Evolving Neural Networks on GPUs

Johannes Hofmann

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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

Effective Mapping of Grammatical Evolution to CUDA Hardware Model

Petr Pospichal

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, nVidia, nVidia GeForce GTX 480, Performance

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

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

November 5, 2011 by hgpu

An Evolutionary Optimization Strategy Using Graphics Processing Units to Efficiently Investigate Gene-Gene Interactions in Genetic Association Studies

Joel B. Fontanarosa, Yang Dai

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Tags: Algorithms, Biology, CUDA, Evolutionary Computations, Genetics, nVidia, nVidia GeForce GTX 470, Optimization

October 25, 2011 by hgpu

Parallel divide-and-evolve: experiments with OpenMP on a multicore machine

Caner Candan, Johann Dreo, Pierre Saveant, Vincent Vidal

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Tags: Algorithms, Artificial intelligence, Computer science, Evolutionary Computations, Metaheuristics, Programming techniques

September 19, 2011 by hgpu

Fast evolutionary image processing using Multi-GPUs

Jun Ando, Tomoharu Nagao

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Tags: Cg, Evolutionary Computations, Image processing, nVidia, nVidia GeForce 7900 GS, OpenGL, Optimization

September 2, 2011 by hgpu

Optimization of parallel Genetic Algorithms for nVidia GPUs

Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama

Tags: Algorithms, Computer science, Evolutionary Computations, Genetic programming, nVidia, Optimization, Review, Tesla C1060

August 9, 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

Speeding up the evaluation of evolutionary learning systems using GPGPUs

Automatic Implementation of Evolutionary Algorithms on GPUs using ESDL

Performance Evaluation of Particle Swarm Optimization Algorithms on GPU Using CUDA

Parallel particle swarm optimization using GPGPU

EASEA: A Generic Optimization Tool for GPU Machines in Asynchronous Island Model

Evolving Neural Networks on GPUs

Effective Mapping of Grammatical Evolution to CUDA Hardware Model

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

An Evolutionary Optimization Strategy Using Graphics Processing Units to Efficiently Investigate Gene-Gene Interactions in Genetic Association Studies

Parallel divide-and-evolve: experiments with OpenMP on a multicore machine

Fast evolutionary image processing using Multi-GPUs

Optimization of parallel Genetic Algorithms for nVidia 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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