Article | Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016 | Loadbalancing on Parallel Heterogeneous Architectures: Spin-image Algorithm on CPU and MIC Linköping University Electronic Press Conference Proceedings
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Title:
Loadbalancing on Parallel Heterogeneous Architectures: Spin-image Algorithm on CPU and MIC
Author:
Ahmed Eleliemy: HPC Group, University of Basel, Basel, Switzerland Mahmoud Fayze: Fujitsu & Computer Science, Ain-Shams University, Cairo, Egypt Rashid Mehmood: High Performance Computing Center, King AbdulAziz University, Jeddah, Saudi Arabia Iyad Katib: High Performance Computing Center, King AbdulAziz University, Jeddah, Saudi Arabia Naif Aljohani: High Performance Computing Center, King AbdulAziz University, Jeddah, Saudi Arabia
DOI:
10.3384/ecp17142673
Download:
Full text (pdf)
Year:
2018
Conference:
Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Issue:
142
Article no.:
098
Pages:
673-679
No. of pages:
7
Publication type:
Abstract and Fulltext
Published:
2018-12-19
ISBN:
978-91-7685-399-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Loadbalancing of computational tasks over heterogeneous architectures is an area of paramount importance due to the growing heterogeneity of HPC platforms and the higher performance and energy ef?ciency they could offer. This paper aims to address this challenge for a heterogeneous platform comprising Intel Xeon multi-core processors and Intel Xeon Phi accelerators (MIC) using an empirical approach. The proposed approach is investigated through a case study of the spin-image algorithm, selected due to its computationally intensive nature and a wide range of applications including 3D database retrieval systems and object recognition. The contributions of this paper are threefold. Firstly, we introduce a parallel spin-image algorithm (PSIA) that achieves a speedup of 19.8 on 24 CPU cores. Secondly, we provide results for a hybrid implementation of PSIA for a heterogeneous platform comprising CPU and MIC: to the best of our knowledge, this is the ?rst such heterogeneous implementation of the spin-image algorithm. Thirdly, we use a range of 3D objects to empirically ?nd a strategy to loadbalance computations between the MIC and CPU cores, achieving speedups of up to 32.4 over the sequential version. The LIRIS 3D mesh watermarking dataset is used to investigate performance analysis and optimization.

Keywords: heterogeneous architectures, MIC, spin-image algorithm, loadbalancing, performance analysis

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Ahmed Eleliemy, Mahmoud Fayze, Rashid Mehmood, Iyad Katib, Naif Aljohani
Title:
Loadbalancing on Parallel Heterogeneous Architectures: Spin-image Algorithm on CPU and MIC
DOI:
http://dx.doi.org/10.3384/ecp17142673
References:
No references available

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Ahmed Eleliemy, Mahmoud Fayze, Rashid Mehmood, Iyad Katib, Naif Aljohani
Title:
Loadbalancing on Parallel Heterogeneous Architectures: Spin-image Algorithm on CPU and MIC
DOI:
https://doi.org10.3384/ecp17142673
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