An improved CUDA-based implementation of differential evolution on GPU

• Main Authors: Raimondo, Federico, Forbes, Florence, Ong, Yew Soon, Qin, A. K.
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/100559; http://hdl.handle.net/10220/16289
• Institution: Nanyang Technological University

Modern GPUs enable widely affordable personal computers to carry out massively parallel computation tasks. NVIDIA's CUDA technology provides a wieldy parallel computing platform. Many state-of-the-art algorithms arising from different fields have been redesigned based on CUDA to achieve computa...