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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

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

GP on SPMD parallel graphics hardware for mega Bioinformatics data mining

William B. Langdon, Andrew P. Harrison

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Tags: Computer science, Genetic programming, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package, RapidMind

January 21, 2011 by hgpu

Evolving GeneChip correlation predictors on parallel graphics hardware

William B. Langdon

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Tags: Bioinformatics, Computer science, Genetic programming, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package, RapidMind

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

Accelerating Genetic Programming through Graphics Processing Units

Wolfgang Banzhaf, Simon Harding, William B. Langdon and Garnett Wilson

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Tags: Computer science, Genetic programming, HLSL, nVidia, nVidia GeForce 8800 GTX, RapidMind, Xbox 360

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

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

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high performance computing on graphics processing units: hgpu.org

Parallel genetic algorithm on the CUDA architecture

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

GP on SPMD parallel graphics hardware for mega Bioinformatics data mining

Evolving GeneChip correlation predictors on parallel graphics hardware

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

Accelerating Genetic Programming through Graphics Processing Units

A Many Threaded CUDA Interpreter for Genetic Programming

Recent source codes

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

LLOR: Automatic Repair of OpenMP Programs

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