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Authors: Akihiro Misawa 1 ; Susumu Date 1 ; Keichi Takahashi 1 ; Takashi Yoshikawa 2 ; Masahiko Takahashi 3 ; Masaki Kan 3 ; Yasuhiro Watashiba 4 ; Yoshiyuki Kido 1 ; Chonho Lee 1 and Shinji Shimojo 1

Affiliations: 1 Cybermedia Center, Osaka University and 5-1 Mihogaoka, Japan ; 2 Cybermedia Center, Osaka University, 5-1 Mihogaoka, System Platform Research Laboratories, NEC, 1753 Shimonumabe and Nakahara, Japan ; 3 System Platform Research Laboratories, NEC, 1753 Shimonumabe and Nakahara, Japan ; 4 Information of Science, Nara Institute of Science and Technology, 8916-5, Takayama, Cybermedia Center, Osaka University and 5-1 Mihogaoka, Japan

ISBN: 978-989-758-243-1

Keyword(s): Cloud Computing, Disaggregation, Resource Pool, GPU/FPGA Accelerator, Hetero Computer, Distributed Storage, Job Scheduling, Resource Management, PCI Express, Openstack, Software Defined System.

Related Ontology Subjects/Areas/Topics: Cloud Computing ; Cloud Computing Enabling Technology ; Xaas

Abstract: It has become increasingly difficult for high performance computing (HPC) users to own a HPC platform for themselves. As user needs and requirements for HPC have diversified, the HPC systems have the capacity and ability to execute diverse applications. In this paper, we present computer architecture for dynamically and promptly delivering high performance computing infrastructure as a cloud computing service in response to users’ requests for the underlying computational resources of the cloud. To obtain the flexibility to accommodate a variety of HPC jobs, each of which may require a unique computing platform, the proposed system reconfigures software and hardware platforms, taking advantage of the synergy of Open Grid Scheduler/Grid Engine and OpenStack. An experimental system developed in this research shows a high degree of flexibility in hardware reconfigurability as well as high performance for a benchmark application of Spark. Also, our evaluation shows that the experimental s ystem can execute twice as many as jobs that need a graphics processing unit (GPU), in addition to eliminating the worst case of resource congestion in the real-world operational record of our university’s computer center in the previous half a year. (More)

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Paper citation in several formats:
Misawa A., Date S., Takahashi K., Yoshikawa T., Takahashi M., Kan M., Watashiba Y., Kido Y., Lee C. and Shimojo S. (2017). Highly Reconfigurable Computing Platform for High Performance Computing Infrastructure as a Service: Hi-IaaS.In Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-243-1, pages 163-174. DOI: 10.5220/0006302501630174

@conference{closer17,
author={Akihiro Misawa and Susumu Date and Keichi Takahashi and Takashi Yoshikawa and Masahiko Takahashi and Masaki Kan and Yasuhiro Watashiba and Yoshiyuki Kido and Chonho Lee and Shinji Shimojo},
title={Highly Reconfigurable Computing Platform for High Performance Computing Infrastructure as a Service: Hi-IaaS},
booktitle={Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2017},
pages={163-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006302501630174},
isbn={978-989-758-243-1},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Highly Reconfigurable Computing Platform for High Performance Computing Infrastructure as a Service: Hi-IaaS
SN - 978-989-758-243-1
AU - Misawa A.
AU - Date S.
AU - Takahashi K.
AU - Yoshikawa T.
AU - Takahashi M.
AU - Kan M.
AU - Watashiba Y.
AU - Kido Y.
AU - Lee C.
AU - Shimojo S.
PY - 2017
SP - 163
EP - 174
DO - 10.5220/0006302501630174

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