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Author Alimguzhin, Vadim; Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico
Title (down) A Map-Reduce Parallel Approach to Automatic Synthesis of Control Software Type Conference Article
Year 2013 Publication Proc. of International SPIN Symposium on Model Checking of Software (SPIN 2013) Abbreviated Journal International SPIN Symposium on Model Checking of Software
Volume Issue Pages 43-60
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Corporate Author Thesis
Publisher Springer - Verlag Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Lecture Notes in Computer Science Abbreviated Series Title
Series Volume 7976 Series Issue Edition
ISSN 0302-9743 ISBN 978-3-642-39175-0 Medium
Area Expedition Conference
Notes Approved no
Call Number Sapienza @ melatti @ Serial 112
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Author Alimguzhin, Vadim; Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico
Title (down) A Map-Reduce Parallel Approach to Automatic Synthesis of Control Software Type Report
Year 2012 Publication Abbreviated Journal
Volume abs/1210.2276 Issue Pages
Keywords
Abstract Many Control Systems are indeed Software Based Control Systems, i.e. control systems whose controller consists of control software running on a microcontroller device. This motivates investigation on Formal Model Based Design approaches for automatic synthesis of control software.
Available algorithms and tools (e.g., QKS) may require weeks or even months of computation to synthesize control software for large-size systems. This motivates search for parallel algorithms for control software synthesis.
In this paper, we present a map-reduce style parallel algorithm for control software synthesis when the controlled system (plant) is modeled as discrete time linear hybrid system. Furthermore we present an MPI-based implementation PQKS of our algorithm. To the best of our knowledge, this is the first parallel approach for control software synthesis.
We experimentally show effectiveness of PQKS on two classical control synthesis problems: the inverted pendulum and the multi-input buck DC/DC converter. Experiments show that PQKS efficiency is above 65%. As an example, PQKS requires about 16 hours to complete the synthesis of control software for the pendulum on a cluster with 60 processors, instead of the 25 days needed by the sequential algorithm in QKS.
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Publisher CoRR, Technical Report Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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ISSN ISBN Medium
Area Expedition Conference
Notes Approved yes
Call Number Sapienza @ mari @ Serial 101
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Author Alimguzhin, V.; Mari, F.; Melatti, I.; Tronci, E.; Ebeid, E.; Mikkelsen, S.A.; Jacobsen, R.H.; Gruber, J.K.; Hayes, B.; Huerta, F.; Prodanovic, M.
Title (down) A Glimpse of SmartHG Project Test-bed and Communication Infrastructure Type Conference Article
Year 2015 Publication Digital System Design (DSD), 2015 Euromicro Conference on Abbreviated Journal
Volume Issue Pages 225-232
Keywords Batteries; Control systems; Databases; Production; Sensors; Servers; Smart grids; Grid State Estimation; Peak Shaving; Policy Robustness Verification; Price Policy Synthesis
Abstract
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number Sapienza @ preissler @ Alimguzhin_etal2015 Serial 127
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