high performance computing on graphics processing units: hgpu.org

hgpu.org » Genetic programming

Parallel and in-process compilation of individuals for genetic programming on GPU

Hakan Ayral, Songul Albayrak

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GRID K520, Operating systems, Package

May 24, 2017 by hgpu

Genetic Improvement of GPU Software

William B. Langdon, Brian Yee Hong Lam, Marc Modat, Justyna Petke, Mark Harman

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 580, Tesla C2050, Tesla K20, Tesla T10

July 28, 2016 by hgpu

Faster GPU Based Genetic Programming Using A Two Dimensional Stack

Darren M. Chitty

View

Download (PDF)

Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 670

January 7, 2016 by hgpu

Improving CUDA DNA Analysis Software with Genetic Programming

William B. Langdon, Brian Yee Hong Lam, Justyna Petke, Mark Harman

View

Download (PDF)

Source codes

Tags: Algorithms, Artificial intelligence, Bioinformatics, Computer science, CUDA, Genetic programming, nVidia, Package, Tesla K20, Tesla K40

May 12, 2015 by hgpu

Real-Time Automatic Object Classification and Tracking using Genetic Programming and NVIDIA CUDA

Mehran Maghoumi

View

Download (PDF)

Source codes

Tags: Computer science, Computer vision, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 660, Package, Thesis

August 9, 2014 by hgpu

ReGen: Optimizing Genetic Selection Algorithms for Heterogeneous Computing

Scott Kenneth Winkleblack

View

Download (PDF)

Tags: Computer science, CUDA, Genetic programming, Heterogeneous systems, nVidia, Tesla K20, Tesla K40, Thesis

July 26, 2014 by hgpu

Unsupervised Asset Cluster Analysis Implemented with Parallel Genetic Algorithms on the NVIDIA CUDA Platform

Dariusz Cieslakiewicz

View

Download (PDF)

Tags: Algorithms, Cluster analysis, Clustering, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 660 M, Thesis

July 18, 2014 by hgpu

Implementation of the genetic algorithm by means of CUDA technology involved in travelling salesman problem

Anna Plichta, Tomasz Gaciarz, Bartosz Baranowski, Szymon Szominski

View

Download (PDF)

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

June 28, 2014 by hgpu

An unsupervised parallel genetic cluster algorithm for graphics processing units

D. Hendricks, D. Cieslakiewicz, D. Wilcox, T. Gebbie

View

Download (PDF)

Tags: Clustering, Computational finance, CUDA, Genetic programming, nVidia, nVidia GeForce 560 Ti, nVidia GeForce 660 Ti, nVidia GeForce GTX 660 M

March 23, 2014 by hgpu

Genetically Improved CUDA kernels for StereoCamera

W. B. Langdon, M. Harman

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Evolutionary Computations, Genetic programming, nVidia, nVidia GeForce GTX 580, Package, Tesla C2050, Tesla K20, Tesla T10

March 12, 2014 by hgpu

Exploiting GPU Parallelism to Optimize Real-World Problems

Hasan Furhad, Fahmida Ahmed, Faisal Faruque, Iqbal Hasan Sarker

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 580, Optimization

February 11, 2014 by hgpu

Genetically Improved CUDA C++ Software

W. B. Langdon, M. Harman

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 580, nVidia Quadro NVS 290, Package, Tesla C2050, Tesla K20, Tesla T10

February 11, 2014 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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Parallel and in-process compilation of individuals for genetic programming on GPU

Genetic Improvement of GPU Software

Faster GPU Based Genetic Programming Using A Two Dimensional Stack

Improving CUDA DNA Analysis Software with Genetic Programming

Real-Time Automatic Object Classification and Tracking using Genetic Programming and NVIDIA CUDA

ReGen: Optimizing Genetic Selection Algorithms for Heterogeneous Computing

Unsupervised Asset Cluster Analysis Implemented with Parallel Genetic Algorithms on the NVIDIA CUDA Platform

Implementation of the genetic algorithm by means of CUDA technology involved in travelling salesman problem

An unsupervised parallel genetic cluster algorithm for graphics processing units

Genetically Improved CUDA kernels for StereoCamera

Exploiting GPU Parallelism to Optimize Real-World Problems

Genetically Improved CUDA C++ Software

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

Most viewed papers (last 30 days)