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Towards a Complete Model for Software Component Deployment on Heterogeneous Platform

Towards a Complete Model for Software Component Deployment on Heterogeneous Platform Abstract This report briefly describes an ongoing research related to optimization of allocating software components to heterogeneous computing platform (which includes CPU, GPU and FPGA). Research goal is also presented, along with current hot topics of the research area, related research teams, and finally results and contribution of my research. It involves mathematical modelling which results in goal function, optimization method which finds a suboptimal solution to the goal function and a software modeling tool which enables graphical representation of the problem at hand and help developers determine component placement in the system design phase. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Research Papers Faculty of Materials Science and Technology Slovak University of Technology de Gruyter

Towards a Complete Model for Software Component Deployment on Heterogeneous Platform

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References (15)

Publisher
de Gruyter
Copyright
Copyright © 2014 by the
ISSN
1338-0532
eISSN
1338-0532
DOI
10.2478/rput-2014-0005
Publisher site
See Article on Publisher Site

Abstract

Abstract This report briefly describes an ongoing research related to optimization of allocating software components to heterogeneous computing platform (which includes CPU, GPU and FPGA). Research goal is also presented, along with current hot topics of the research area, related research teams, and finally results and contribution of my research. It involves mathematical modelling which results in goal function, optimization method which finds a suboptimal solution to the goal function and a software modeling tool which enables graphical representation of the problem at hand and help developers determine component placement in the system design phase.

Journal

Research Papers Faculty of Materials Science and Technology Slovak University of Technologyde Gruyter

Published: Dec 1, 2014

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