PBA2CUDA

A framework for parallelizing population based algorithms using CUDA

verfasst von

Ioannis Zgeras, Jürgen Brehm, Michael Knoppik

Abstract

To increase the performance of a program, developers have to parallelize their code due to trends in modern hardware development. Since the parallelization of source code is paired with additional programming effort, it is desirable to provide developers with tools to help them by parallelizing source code. PBA2CUDA is a framework for semi-automatically parallelization of source code specialized in the algorithm class of Population Based Algorithms.

Organisationseinheit(en)

Fachgebiet Architekturen und Systeme

Typ

Aufsatz in Konferenzband

Publikationsdatum

2014

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Hardware und Architektur, Software, Sicherheit, Risiko, Zuverlässigkeit und Qualität