high performance computing on graphics processing units: hgpu.org

hgpu.org » Differential evolution

Performance Analysis and Improvement of Parallel Differential Evolution

Zibin Pan

View

Tags: Artificial intelligence, Computer science, CUDA, Differential evolution, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 760

January 24, 2021 by hgpu

SGO: An ultrafast engine for atomic structure global optimization by differential evolution

Zhanghui Chen, Lin-Wang Wang

View

Download (PDF)

Tags: Condensed matter, Differential evolution, Materials Science, nVidia, nVidia GeForce GTX 980

March 12, 2016 by hgpu

Differential Evolution with parallelised objective functions using CUDA

Primoz Kralj

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Differential evolution, nVidia, nVidia GeForce GT 540 M

June 25, 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

GPU-Accelerated High-Accuracy Molecular Docking using Guided Differential Evolution

Martin Simonsen, Mikael H. Christensen, Rene Thomsen, Christian N. S. Pedersen

View

Download (PDF)

Tags: Biology, CUDA, Differential evolution, Medicine, nVidia, nVidia GeForce 8800 GT, Pharmaceuticals

February 5, 2013 by hgpu

Many-threaded Differential Evolution on the GPU

Pavel Kromer, Jan Platos, Vaclav Snasel, Ajith Abraham

View

Download (PDF)

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

January 30, 2013 by hgpu

An Improved CUDA-Based Implementation of Differential Evolution on GPU

A. K. Qin, Federico Raimondo, Florence Forbes, Yew Soon Ong

View

Download (PDF)

Tags: Computer science, CUDA, Differential evolution, nVidia, nVidia GeForce GTX 560

June 18, 2012 by hgpu

CUDA Based Enhanced Differential Evolution: a Computational Analysis

Donald Davendra, Jan Gaura, Magdalena Bialic-Davendra, Roman Senkerik

View

Download (PDF)

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

May 20, 2012 by hgpu

A GPU-Based Implementation of Differential Evolution for Solving the Gene Regulatory Network Model Inference Problem

Luis E. Ramirez-Chavez, Carlos A. Coello Coello, Eduardo Rodriguez-Tello

View

Download (PDF)

Tags: Bioinformatics, Biology, CUDA, Differential equations, Differential evolution, nVidia, nVidia GeForce GTX 460, Optimization

January 23, 2012 by hgpu

A Comparison of Many-threaded Differential Evolution and Genetic Algorithms on CUDA

Pavel Kromer, Jan Platos, Vaclav Snasel, Ajith Abraham

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Differential evolution, Genetic programming, Metaheuristics, nVidia, Task scheduling, Tesla C2050

November 2, 2011 by hgpu

An Implementation of Differential Evolution for Independent Tasks Scheduling on GPU

Pavel Kromer, Jan Platos, Vaclav Snasel, Ajith Abraham

View

Download (PDF)

Tags: Algorithms, Artificial intelligence, Computer science, CUDA, Differential evolution, Heterogeneous systems, nVidia, Optimization, Task scheduling, Tesla C2050

November 1, 2011 by hgpu

Many-threaded implementation of differential evolution for the CUDA platform

Pavel Kromer, Vaclav Snasel, Jan Platos, Ajith Abraham

View

Download (PDF)

Tags: Algorithms, Benchmarking, Computer science, CUDA, Differential evolution, Genetic programming, nVidia, Optimization, Tesla C2050

September 29, 2011 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Performance Analysis and Improvement of Parallel Differential Evolution

SGO: An ultrafast engine for atomic structure global optimization by differential evolution

Differential Evolution with parallelised objective functions using CUDA

libCudaOptimize: an Open Source Library of GPU-based Metaheuristics

GPU-Accelerated High-Accuracy Molecular Docking using Guided Differential Evolution

Many-threaded Differential Evolution on the GPU

An Improved CUDA-Based Implementation of Differential Evolution on GPU

CUDA Based Enhanced Differential Evolution: a Computational Analysis

A GPU-Based Implementation of Differential Evolution for Solving the Gene Regulatory Network Model Inference Problem

A Comparison of Many-threaded Differential Evolution and Genetic Algorithms on CUDA

An Implementation of Differential Evolution for Independent Tasks Scheduling on GPU

Many-threaded implementation of differential evolution for the CUDA platform

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

Most viewed papers (last 30 days)