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

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation

nvsass-disassembler

Automated Instruction Encoding Synthesis for Modern GPU ISA Compression

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

EinsummableV3 - graph-based computation with tensor operations support

Every Kernel Is a Join: Automatic Multi-GPU Parallelism for AI Computations in Einsummable

MaxKernel: Intelligent TPU Kernel Engineering Agents

MaxKernel: Agentic Kernel Generation for TPUs

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

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

nvsass-disassembler

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

EinsummableV3 - graph-based computation with tensor operations support

MaxKernel: Intelligent TPU Kernel Engineering Agents

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