Exploiting Cloud Computing for Algorithm Development
Exploiting Cloud Computing for Algorithm Development
We consider the application of cloud computing to the process of algorithm development. We introduce a case study focusing on the development of a novel algorithm in computational electromagnetics, illustrating several challenging areas for algorithm developers where cloud-based architectures can deliver enhanced productivity and potentially save costs. The development, verification and tuning of our algorithm have all been assisted by cloud-based technologies. Our preliminary results both demonstrate the potential of the algorithm to solve the problems accurately, and of cloud-based architectures to accelerate the development and verification process. We propose that cloud-based architectures will in the future play a greater role in the development of algorithms; saving costs by improving hardware utilisation, and reducing turnaround time.
O'Brien, Neil S.
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Johnston, Steven J.
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Hart, Elizabeth E.
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Djidjeli, Kamal
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Cox, Simon J.
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October 2011
O'Brien, Neil S.
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Johnston, Steven J.
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Hart, Elizabeth E.
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Djidjeli, Kamal
94ac4002-4170-495b-a443-74fde3b92998
Cox, Simon J.
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O'Brien, Neil S., Johnston, Steven J., Hart, Elizabeth E., Djidjeli, Kamal and Cox, Simon J.
(2011)
Exploiting Cloud Computing for Algorithm Development.
2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), Beijing, China.
10 - 12 Oct 2011.
13 pp
.
(doi:10.1109/CyberC.2011.60).
Record type:
Conference or Workshop Item
(Paper)
Abstract
We consider the application of cloud computing to the process of algorithm development. We introduce a case study focusing on the development of a novel algorithm in computational electromagnetics, illustrating several challenging areas for algorithm developers where cloud-based architectures can deliver enhanced productivity and potentially save costs. The development, verification and tuning of our algorithm have all been assisted by cloud-based technologies. Our preliminary results both demonstrate the potential of the algorithm to solve the problems accurately, and of cloud-based architectures to accelerate the development and verification process. We propose that cloud-based architectures will in the future play a greater role in the development of algorithms; saving costs by improving hardware utilisation, and reducing turnaround time.
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paper_eprints.pdf
- Author's Original
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Published date: October 2011
Venue - Dates:
2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), Beijing, China, 2011-10-10 - 2011-10-12
Organisations:
Computational Engineering & Design Group
Identifiers
Local EPrints ID: 196835
URI: http://eprints.soton.ac.uk/id/eprint/196835
PURE UUID: 020ee069-bcf1-433c-bf92-9ffac60b5249
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Date deposited: 13 Sep 2011 09:12
Last modified: 14 Mar 2024 04:09
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Contributors
Author:
Neil S. O'Brien
Author:
Elizabeth E. Hart
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