PPT-Models for Deterministic Execution of Real-time

Author : ellena-manuel | Published Date : 2018-01-08

Multiprocessor Applications Peter Poplavko Dario Socci Paraskevas Bourgos Saddek Bensalem Marius Bozga VERIMAG lab CNRS University of Grenoble Research

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Models for Deterministic Execution of Real-time: Transcript

Multiprocessor Applications Peter Poplavko Dario Socci Paraskevas Bourgos Saddek Bensalem Marius Bozga VERIMAG lab CNRS University of Grenoble Research supported by the European ICT Collaborative Project no 288175. Kaushik . Veeraraghavan . Dongyoon. Lee, . Benjamin . Wester. , . Jessica . Ouyang. , . Peter . M. . Chen, . Jason . Flinn. , . Satish. . Narayanasamy. University of Michigan. Deterministic replay. Sarah Minson. California Institute of Technology. Real-time . finite fault slip models for . earthquake early warning. Sarah E. . Minson. . California Institute of Technology. Jessica R. Murray, John O. . Chapter – 8. Embedded System: An integrated approach. Real Time Tasks. What is Real Time?. Simply, the time measured by physical clock.. Anything is ‘real time’ means it has direct relation with actual time.. IEEE 802.1 standards for real-time process control, industrial automation, and vehicular networks IEEE 802 tutorialNovember 12, 2012 Deterministic Ethernet Contents Kaushik . Veeraraghavan . Dongyoon. Lee, . Benjamin . Wester. , . Jessica . Ouyang. , . Peter . M. . Chen, . Jason . Flinn. , . Satish. . Narayanasamy. University of Michigan. Deterministic replay. Index: A Year-2 JHT Project Update. This NOAA JHT project is being funded by the USWRP in NOAA/OAR’s Office of Weather and Air Quality, with elements of the research funded by the GOES-R Risk Reduction Program . Based on SIGMOD’12 paper by. Alexander Thomson, Thaddeus Diamond, . Shu. -Chun . Weng. , Kun . Ren. , Philip . Shao. ,. Daniel J. . Abadi. By : K. V. Mahesh , . Abhishek. Gupta. Under guidance of: Prof. . Konstantinos Theodorakos. January 2015. Modern Processor Design. “Free lunch is over”. Lower Power consumption is favored on multi-core/processor architectures. CBD Parallelization . intention. Why Parallelize CBD models?. Geoffrey Biggs. Intelligent Systems Research Institute. National Institute of Advanced Industrial Science and Technology. Japan. Concept overview. Robot Technology Component model. Separation of concerns:. Presented by Glenn Elliott. (with most slides by Jim Anderson and some from Steve Goddard) . Real-Time Basics. Throughout this part of the talk, we assume a . uniprocessor. platform.. 2. A system with a dual notion of correctness:. Introduction. Scientific inventory management. Mathematical model describes system behavior. Goal: optimal inventory policy with respect to the model. Computerized information processing system maintains inventory level records. Tim Sharpe. CEO. tim.sharpe@sabisu.co. @. timjsharpe. +44 7980 681207. www.sabisu.co. HSSE. e.g., Lotus Notes, . MS Excel. Operational Intelligence. Maintenance. e.g., SAP PM. Engineering. Daniel Duicu and Isabela Zuzu. 26-November-2018. What we do? . 2. Demand. Resources. Rules. Planning. Optimization. Execution. Improved and . predictable results at . lower . costs. Solutions. 3. Vehicle. Jørn Vatn. Department of Mechanical and Industrial Engineering. NTNU - Norwegian University of Science and Technology, Norway. Background. Maintenance decisions needs to take into account. Current. .

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