Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/12569
Title: Workload distribution on heterogeneous platforms
Authors: Alasmar, Mahmoud
Bazlamaçcı, Cüneyt
Orta Doğu Teknik Üniversitesi
Keywords: Functional performance model
Heterogeneous computing platform
Task assignment
Workload distribution
Issue Date: 2021
Publisher: IEEE
Abstract: This paper targets the problem of finding an efficient distribution of a computational task on a heterogeneous computing platform. The heterogeneity of the processing elements arise due to differences in computation speed and memory capacity of the processors. We first consider using a discrete functional performance model that integrates processing speed and capacity of processing elements and then develop a mathematical model and propose a heuristic mapping algorithm for distributing a given total workload of size N on p processing elements such that the total computation time is minimized. Computational results show that the proposed method provides a significant improvement in reducing the computation time in comparison to equal distribution approach.
Description: This research has been co-financed by the European Union and Greek national funds, through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH CREATE-INNOVATE 2 (project code: T2EDK-02617).
URI: https://doi.org/10.1109/CITS52676.2021.9618353
https://hdl.handle.net/11147/12569
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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