PBA2CUDA

A framework for parallelizing population based algorithms using CUDA

authored by

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.

Organisation(s)

Architectures and Systems Section

Type

Conference contribution

Publication date

2014

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Hardware and Architecture, Software, Safety, Risk, Reliability and Quality