Dual Fast Gradient Method on Graphical Processing Units

Iztok Ramovš (2018) Dual Fast Gradient Method on Graphical Processing Units. EngD thesis.

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Abstract

One of the biggest challenges in tokamak devices is to maintain plasma shape which is affected by constant disturbances. One of the possible solutions for this challenge is usage of model predictive control methodology. Optimization problem which represents used methodology was solved with dual fast gradient method. However, described implementation was too slow. The goal of this thesis is to re-implement the existing implementation using parallel technologies. New implementation must be able to provide solutions with the same level of accuracy as current serial implementation. We attempt to achieve faster execution with parallel program running on general purpose graphics processing units. Chosen technology is OpenCL framework.

Item Type:

Thesis (EngD thesis)

Keywords:

Tokamak, MPC, OpenCL, dual fast gradient method, parallel implementation, GPU

Number of Pages:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
izr. prof. dr. Uroš Lotrič	270	Mentor

Link to COBISS:

http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537944259)

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Item ID:

4183

Date Deposited:

07 Sep 2018 15:06

Last Modified:

02 Oct 2018 13:12

URI:

http://eprints.fri.uni-lj.si/id/eprint/4183

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