high performance computing on graphics processing units: hgpu.org

Programming

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Distributed genetic programming on GPUs using CUDA

Simon Harding, Wolfgang Banzhaf

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce 8200, Programming techniques, Tutorial

January 22, 2011 by hgpu

Accelerating evolutionary computation with graphics processing units

Wolfgang Banzhaf, Simon Harding

Tags: Algorithms, Computer science, Genetic programming, Programming techniques, Tutorial

January 22, 2011 by hgpu

Parallel genetic algorithm on the CUDA architecture

Petr Pospichal, Jiri Jaros and Josef Schwarz

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 285

January 22, 2011 by hgpu

Parallel Genetic Algorithm Solving 0/1 Knapsack Problem Running on the GPU

Petr Pospichal, Josef Schwarz and Jiri Jaros

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 260

January 22, 2011 by hgpu

EASEA parallelization of tree-based Genetic Programming

Ogier Maitre, S. Querry, Nicolas Lachiche and Pierre Collet

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295, Package

January 22, 2011 by hgpu

Speedups between x70 and x120 for a generic local search (memetic) algorithm on a single GPGPU chip

Frederic Kruger, Ogier Maitre, Santiago Jimenez, Laurent Baumes and Pierre Collet

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295, Package, Poster

January 21, 2011 by hgpu

Fast Evaluation of GP Trees on GPGPU by Optimizing Hardware Scheduling

Ogier Maitre, Nicolas Lachiche and Pierre Collet

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295, Package, Poster

January 21, 2011 by hgpu

Evolving a CUDA kernel from an nVidia template

William B. Langdon, Mark Harman

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Tags: Artificial intelligence, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295

January 21, 2011 by hgpu

Genetic Programming An Introductory Tutorial and a Survey of Techniques and Applications

Riccardo Poli, William B. Langdon, Nicholas F. McPhee, John R. Koza

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Tags: Algorithms, Computer science, Genetic programming, nVidia, OpenGL, RapidMind

January 21, 2011 by hgpu

A Field Guide to Genetic Programming

Riccardo Poli, William B. Langdon, Nicholas F. McPhee

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Tags: Algorithms, Book, Computer science, Genetic programming, nVidia

January 21, 2011 by hgpu

A CUDA SIMT interpreter for genetic programming. Revised

William B. Langdon

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Tags: Computer science, CUDA, Genetic programming, nVidia, Package, Tesla T10P

January 21, 2011 by hgpu

A Many Threaded CUDA Interpreter for Genetic Programming

William B. Langdon

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295, Package

January 21, 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

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high performance computing on graphics processing units: hgpu.org

Programming

Distributed genetic programming on GPUs using CUDA

Accelerating evolutionary computation with graphics processing units

Parallel genetic algorithm on the CUDA architecture

Parallel Genetic Algorithm Solving 0/1 Knapsack Problem Running on the GPU

EASEA parallelization of tree-based Genetic Programming

Speedups between x70 and x120 for a generic local search (memetic) algorithm on a single GPGPU chip

Fast Evaluation of GP Trees on GPGPU by Optimizing Hardware Scheduling

Evolving a CUDA kernel from an nVidia template

Genetic Programming An Introductory Tutorial and a Survey of Techniques and Applications

A Field Guide to Genetic Programming

A CUDA SIMT interpreter for genetic programming. Revised

A Many Threaded CUDA Interpreter for Genetic Programming

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