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A data parallel approach to genetic programming using programmable graphics hardware

Darren M. Chitty

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Tags: Algorithms, Artificial intelligence, Cg, Computer science, Genetic programming, nVidia, nVidia GeForce 6400

January 23, 2011 by hgpu

Hardware Accelerators for Cartesian Genetic Programming

Zdenek Vasicek and Lukas Sekanina

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Tags: Algorithms, Computer science, FPGA, Genetic programming

January 23, 2011 by hgpu

Genetic programming on GPUs for image processing

Simon Harding and Wolfgang Banzhaf

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Tags: Computer science, DirectX, Filtering, Genetic programming, Image processing, nVidia, nVidia GeForce 8800 GTX

January 23, 2011 by hgpu

GPU Accelerated Computation and Visualization of Hexagonal Cellular Automata

Stephane Gobron, Herve Bonafos and Daniel Mestre

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Tags: Cellular automata, Computer science, Genetic programming, GLSL, nVidia, nVidia GeForce 7600 GT, nVidia GeForce 7900 M GTX, nVidia GeForce 8600 GS, nVidia GeForce 8800 GTX, nVidia Quadro FX 3500, OpenGL, Real-time graphics, Rendering

January 23, 2011 by hgpu

Cellular genetic algorithms

Enrique Alba, Bernabe Dorronsoro

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Tags: Algorithms, Computer science, Genetic programming, SAT

January 23, 2011 by hgpu

A study of parallel evolution strategy: pattern search on a GPU computing platform

Weihang Zhu

Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Pattern Search

January 23, 2011 by hgpu

Multi-walk Parallel Pattern Search Approach on a GPU Computing Platform

Weihang Zhu and James Curry

Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Pattern Search

January 23, 2011 by hgpu

Deployment of CPU and GPU-based genetic programming on heterogeneous devices

Garnett Wilson, Wolfgang Banzhaf

Tags: Artificial intelligence, Computer science, Genetic programming, Xbox 360

January 23, 2011 by hgpu

Implementation of Parallel Genetic Algorithms on Graphics Processing Units

Man Leung Wong and Tien Tsin Wong

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Tags: Computer science, Genetic programming, nVidia, nVidia GeForce 6800 Ultra, Shaders

January 23, 2011 by hgpu

High performance genetic programming on GPU

Denis Robilliard, Virginie Marion, Cyril Fonlupt

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

January 23, 2011 by hgpu

An Improved Magma Gemm For Fermi Graphics Processing Units

Rajib Nath, Stanimire Tomov, Jack Dongarra

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Tags: BLAS, Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, Package, Tesla C2050

January 23, 2011 by hgpu

Swan: A tool for porting CUDA programs to OpenCL

M. J. Harvey, G. De Fabritiis

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Tags: Compilers, Computer science, CUDA, nVidia, OpenCL, Package, Tesla C1060

January 22, 2011 by hgpu

Allo: Accelerator Design Language

Dato: A Task-Based Programming Model for Dataflow Accelerators

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

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high performance computing on graphics processing units: hgpu.org

Applications

A data parallel approach to genetic programming using programmable graphics hardware

Hardware Accelerators for Cartesian Genetic Programming

Genetic programming on GPUs for image processing

GPU Accelerated Computation and Visualization of Hexagonal Cellular Automata

Cellular genetic algorithms

A study of parallel evolution strategy: pattern search on a GPU computing platform

Multi-walk Parallel Pattern Search Approach on a GPU Computing Platform

Deployment of CPU and GPU-based genetic programming on heterogeneous devices

Implementation of Parallel Genetic Algorithms on Graphics Processing Units

High performance genetic programming on GPU

An Improved Magma Gemm For Fermi Graphics Processing Units

Swan: A tool for porting CUDA programs to OpenCL

Recent source codes

Allo: Accelerator Design Language

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

HPC Benchmark Survey

HDM: Home made Diffusion Models

General Matrix Multiplication (GEMM)

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

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