high performance computing on graphics processing units: hgpu.org

hgpu.org » Evolutionary Computations

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

PUGACE, a cellular Evolutionary Algorithm framework on GPUs

Nicolas Soca, Jose Luis Blengio, Martin Pedemonte, Pablo Ezzatti

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Metaheuristics, nVidia, nVidia GeForce 9800 GTX, Optimization

August 7, 2011 by hgpu

EASEA: specification and execution of evolutionary algorithms on GPGPU

Ogier Maitre, Frederic Kruger, Stephane Querry, Nicolas Lachiche, Pierre Collet

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Source codes

Tags: Computer science, CUDA, Evolutionary Computations, Genetic programming, nVidia, nVidia GeForce GTX 480, Package

July 1, 2011 by hgpu

Differential evolution algorithm on the GPU with C-CUDA

L.P. de Veronese, R.A. Krohling

Tags: Algorithms, Computer science, CUDA, Differential evolution, Evolutionary Computations, nVidia

May 11, 2011 by hgpu

Accelerating floating-point fitness functions in evolutionary algorithms: a FPGA-CPU-GPU performance comparison

Juan Gomez-Pulido, Miguel Vega-Rodriguez, Juan Sanchez-Perez, Silvio Priem-Mendes, Vitor Carreira

Tags: Computer science, Evolutionary Computations, FPGA, Genetic programming, Performance

May 4, 2011 by hgpu

Accelerating Particle Swarm Algorithm with GPGPU

M. Cadenas-Montes, M.A. Vega-Rodriguez, J.J. Rodriguez-Vazquez, A. Gomez-Iglesias

Tags: Algorithms, Computer science, Evolutionary Computations, Optimization

April 16, 2011 by hgpu

Fitting multi-planet transit models to photometric time-data series by evolution strategies

Andreas M. Chwatal, Gunther R. Raidl, Michael Zoch

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Tags: Algorithms, Astrophysics, CUDA, Earth and Planetary Astrophysics, Evolutionary Computations, nVidia, nVidia GeForce 9600 GT, Physics

February 7, 2011 by hgpu

GPGPU-compatible archive based stochastic ranking evolutionary algorithm (G-ASREA) for multi-objective optimization

Deepak Sharma, Pierre Collet

Tags: Algorithms, Computer science, Evolutionary Computations

February 4, 2011 by hgpu

Parallel Evolutionary Algorithms on Consumer-Level Graphics Processing Unit

Tien-Tsin Wong and Man Leung Wong

Tags: Algorithms, Computer science, Evolutionary Computations, Genetic programming

January 23, 2011 by hgpu

Rapid evaluation and evolution of neural models using graphics card hardware

Thomas F. Clayton, Leena N. Patel, Gareth Leng, Alan F. Murray, Iain A.B. Lindsay

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Evolutionary Computations, nVidia, nVidia GeForce 8800 GTX

January 13, 2011 by hgpu

Nonlinear optimization with a massively parallel Evolution Strategy-Pattern Search algorithm on graphics hardware

Weihang Zhu

Tags: Computer science, Evolutionary Computations, Pattern Search

November 9, 2010 by hgpu

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

See all packages

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high performance computing on graphics processing units: hgpu.org

Optimization of parallel Genetic Algorithms for nVidia GPUs

PUGACE, a cellular Evolutionary Algorithm framework on GPUs

EASEA: specification and execution of evolutionary algorithms on GPGPU

Differential evolution algorithm on the GPU with C-CUDA

Accelerating floating-point fitness functions in evolutionary algorithms: a FPGA-CPU-GPU performance comparison

Accelerating Particle Swarm Algorithm with GPGPU

Fitting multi-planet transit models to photometric time-data series by evolution strategies

GPGPU-compatible archive based stochastic ranking evolutionary algorithm (G-ASREA) for multi-objective optimization

Parallel Evolutionary Algorithms on Consumer-Level Graphics Processing Unit

Rapid evaluation and evolution of neural models using graphics card hardware

Nonlinear optimization with a massively parallel Evolution Strategy-Pattern Search algorithm on graphics hardware

Recent source codes

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

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