high performance computing on graphics processing units: hgpu.org

hgpu.org » Metaheuristics

Solution Level Parallelization of Local Search Metaheuristic Algorithm on GPU

S. V. Ghorpade, S. M. Kamalapur

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Data parallelism, Metaheuristics, nVidia, nVidia GeForce GTX 680, Search

July 23, 2014 by hgpu

The Design and Implementation of a GPU-enabled Multi-objective Tabu-search Intended for Real World and High-dimensional Applications

Christos Tsotskas, Timoleon Kipouros, Anthony Mark Savill

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, Metaheuristics, nVidia, nVidia Quadro 1000 M

July 4, 2014 by hgpu

A CUDA based Solution to the Multidimensional Knapsack Problem Using the Ant Colony Optimization

Henrique Finglera, Edson N. Caceresa, Henrique Mongellia, Siang W. Songb

View

Download (PDF)

Tags: Algorithms, Ant colony optimization, Computer science, CUDA, Metaheuristics, nVidia

June 17, 2014 by hgpu

Optimization Techniques on GPU: A Survey

Rashmi Sharan Sinha, Satvir Singh

Tags: Algorithms, Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 285, Optimization, Overview, Particle swarm optimization, Tesla C1060, Tesla C2050

June 12, 2014 by hgpu

Multi-level parallelization for hybrid ACO

O. Abdelkafi, J. Lepagnot, L. Idoumghar

View

Download (PDF)

Tags: CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 680

June 9, 2014 by hgpu

Accelerating Ant Colony Optimization-based Edge Detection on the GPU using CUDA

Laurence Dawson, Iain A. Stewart

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, Image processing, Metaheuristics, nVidia, nVidia GeForce GTX 580

April 30, 2014 by hgpu

The Use of Automated Search in Deriving Software Testing Strategies

Simon Marcus Poulding

View

Download (PDF)

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

November 28, 2013 by hgpu

Parallelization Strategies for Local Search Algorithms on Graphics Processing Units

Audrey Delevacq, Pierre Delisle, Michael Krajecki

View

Download (PDF)

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

July 9, 2013 by hgpu

ParadisEO-MO-GPU: a Framework for Parallel GPU-based Local Search Metaheuristics

Nouredine Melab, The van Luong, Karima Boufaras, El-Ghazali Talbi

View

Download (PDF)

Source codes

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

July 8, 2013 by hgpu

libCudaOptimize: an Open Source Library of GPU-based Metaheuristics

Youssef S.G. Nashed, Roberto Ugolotti, Pablo Mesejo, Stefano Cagnoni

View

Download (PDF)

Source codes

Tags: Artificial intelligence, Computer science, CUDA, Differential evolution, Evolutionary Computations, Metaheuristics, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTS 450, Optimization, Package, Particle swarm optimization

June 21, 2013 by hgpu

Parallelization of the Ant Colony Optimization for the Shortest Path Problem using OpenMP and CUDA

Maida Arnautovic, Maida Curic, Emina Dolamic, Novica Nosovic

View

Download (PDF)

Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GT 420 M, OpenMP, Optimization, Path problems

May 30, 2013 by hgpu

Fast Makespan Estimation for GPU Threads on a Single Streaming Multiprocessor

Kostiantyn Berezovskyi, Konstantinos Bletsas, Stefan M. Petters

View

Download (PDF)

Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 680, PTX, Timing analysis

April 22, 2013 by hgpu

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

NVIDIA Object Oriented Agents

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

Probe-and-Refine Tuning of Repository Guidance for AI Coding Agents

Probe-and-Refine Tuning of Repository Guidance for Coding Agents

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Solution Level Parallelization of Local Search Metaheuristic Algorithm on GPU

The Design and Implementation of a GPU-enabled Multi-objective Tabu-search Intended for Real World and High-dimensional Applications

A CUDA based Solution to the Multidimensional Knapsack Problem Using the Ant Colony Optimization

Optimization Techniques on GPU: A Survey

Multi-level parallelization for hybrid ACO

Accelerating Ant Colony Optimization-based Edge Detection on the GPU using CUDA

The Use of Automated Search in Deriving Software Testing Strategies

Parallelization Strategies for Local Search Algorithms on Graphics Processing Units

ParadisEO-MO-GPU: a Framework for Parallel GPU-based Local Search Metaheuristics

libCudaOptimize: an Open Source Library of GPU-based Metaheuristics

Parallelization of the Ant Colony Optimization for the Shortest Path Problem using OpenMP and CUDA

Fast Makespan Estimation for GPU Threads on a Single Streaming Multiprocessor

Recent source codes

TensorCorePTX: PTX Tensor Core GEMM Exploration

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

NVIDIA Object Oriented Agents

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

Probe-and-Refine Tuning of Repository Guidance for AI Coding Agents

Most viewed papers (last 30 days)