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High Performance Optimization on Cloud for a Metal Process Model
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing.
2014 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The Amazon Elastic Compute Cloud (EC2)is a service providing on-demand compute capacity to the public. In this thesis a scientific software, performing global optimization on a metal process model, is implemented in parallel using MATLAB and provisioned as a service from AmazonEC2.

The thesis is divided into two parts. The first part concerns improving the serial software, analyzing different optimization methods, and implementing a parallel version; the second part is about evaluating the parallel performance of the software, both on different computer resources in Amazon EC2 and on a local cluster. It is shown that parallel performance of the software in Amazon EC2 is similar and even surpasses the local cluster for some provisioned resources. Factors affecting the performance of the global optimization methods are found and related to network communication and virtualization of hardware, where the method MultiStart has the best parallel performance. Finally, the runtime for large optimization problem was successfully reduced from 5 hours(serial) to a few minutes (parallel) when run on Amazon EC2; with the total cost of just 25-30$.

Place, publisher, year, edition, pages
2014. , 69 p.
UPTEC F, ISSN 1401-5757 ; 14032
National Category
Engineering and Technology
URN: urn:nbn:se:uu:diva-228088OAI: diva2:732246
External cooperation
ABB CRC Västerås
Educational program
Master Programme in Engineering Physics
Available from: 2014-07-03 Created: 2014-07-03 Last updated: 2014-07-03Bibliographically approved

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