high performance computing on graphics processing units: hgpu.org

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Graphics processing unit (GPU) programming strategies and trends in GPU computing

Andre R. Brodtkorb, Trond R. Hagen, Martin L. Saetra

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Tags: Computer science, Heterogeneous systems, Metaheuristics, Optimization, Overview, Programming techniques

April 19, 2013 by hgpu

Parallelization of the Cuckoo Search using CUDA Architecture

Raka Jovanovic, Milan Tuba

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Tags: Algorithms, Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 540 M, Optimization

April 1, 2013 by hgpu

Many-threaded Differential Evolution on the GPU

Pavel Kromer, Jan Platos, Vaclav Snasel, Ajith Abraham

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Tags: Algorithms, Computer science, CUDA, Differential evolution, Metaheuristics, nVidia, Tesla C2050

January 30, 2013 by hgpu

GPU-based tuning of quantum-inspired genetic algorithm for a combinatorial optimization problem

R. Nowotniak, J. Kucharski

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Tags: Algorithms, Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 295, Optimization

September 27, 2012 by hgpu

A GPU implementation of the Simulated Annealing Heuristic for the Quadratic Assignment Problem

Gerald Paul

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Tags: Computer science, CUDA, Metaheuristics, nVidia, Tesla C2070

August 14, 2012 by hgpu

Solving the Flexible Job Shop Problem on Multi-GPU

Wojciech Bozejko, Zdzilaw Hejducki, Mariusz Uchronski, Mieczyslaw Wodecki

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Tags: Computer science, CUDA, GPU cluster, Metaheuristics, MPI, nVidia, Optimization, Search, Tesla S2050

August 8, 2012 by hgpu

Parallel GPU Implementation of Iterated Local Search for the Travelling Salesman Problem

Audrey Delevacq, Pierre Delisle, Michael Krajecki

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Tags: Algorithms, Computer science, CUDA, Metaheuristics, nVidia, Tesla C2050

August 4, 2012 by hgpu

A Parallel Ant Colony Optimization Algorithm for the Travelling Salesman Problem: Improving Performance Using CUDA

Octavian Nitica

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Tags: Algorithms, Computer science, CUDA, Metaheuristics, nVidia, Optimization, Tesla C1060, Tesla C2050, Tesla C870, Thesis

January 26, 2012 by hgpu

Enhancing Data Parallelism for Ant Colony Optimisation on GPUs

Jose M. Cecilia, Jose M. Garcia, Andy Nisbet, Martyn Amos, Manuel Ujaldon

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Tags: Algorithms, Computer science, CUDA, Data parallelism, Metaheuristics, nVidia, Tesla C2050

January 12, 2012 by hgpu

GPU Computing for Parallel Local Search Metaheuristics

The Van Luong, Nouredine Melab, El-Ghazali Talbi

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Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Optimization, Tesla M2050

January 3, 2012 by hgpu

Towards paradisEO-MO-GPU: a framework for GPU-based local search metaheuristics

N. Melab, T-V. Luong, K. Boufaras, E-G. Talbi

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Source codes

Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 480, Package

November 27, 2011 by hgpu

GPU-based Multi-start Local Search Algorithms

The Van Luong, Nouredine Melab, El-Ghazali Talbi

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Tags: Algorithms, Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 280, Optimization, Search

November 22, 2011 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

Agentic Code Optimization via Compiler-LLM Cooperation

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

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

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

See all packages

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high performance computing on graphics processing units: hgpu.org

Graphics processing unit (GPU) programming strategies and trends in GPU computing

Parallelization of the Cuckoo Search using CUDA Architecture

Many-threaded Differential Evolution on the GPU

GPU-based tuning of quantum-inspired genetic algorithm for a combinatorial optimization problem

A GPU implementation of the Simulated Annealing Heuristic for the Quadratic Assignment Problem

Solving the Flexible Job Shop Problem on Multi-GPU

Parallel GPU Implementation of Iterated Local Search for the Travelling Salesman Problem

A Parallel Ant Colony Optimization Algorithm for the Travelling Salesman Problem: Improving Performance Using CUDA

Enhancing Data Parallelism for Ant Colony Optimisation on GPUs

GPU Computing for Parallel Local Search Metaheuristics

Towards paradisEO-MO-GPU: a framework for GPU-based local search metaheuristics

GPU-based Multi-start Local Search Algorithms

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

Agentic Code Optimization via Compiler-LLM Cooperation

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

Device Virtual Machine (DVM)

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

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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