The FitOptiVis ECSEL project
| Autor: | Marc Geilen, Juka Saarinen, Zaid Al-Ars, Geran Peeren, Luigi Pomante, Carlo Sau, Pekka Jääskeläinen, Marcos Martinez de Alejandro, Jiří Kadlec, Dip Goswami, Francesca Palumbo, Maria Katiuscia Zedda, Ad de Beer, Tero Säntti, Twan Basten, Frank van der Linden |
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| Přispěvatelé: | Electronic Systems, Cyber-Physical Systems Center Eindhoven, Embedded Control Systems Lab, CompSOC Lab- Predictable & Composable Embedded Systems |
| Rok vydání: | 2019 |
| Předmět: |
Computer science
Distributed computing 020208 electrical & electronic engineering Emphasis (telecommunications) Cyber-physical system Context (language use) 02 engineering and technology Video processing Image-video processing Distributed systems 020202 computer hardware & architecture Pipeline transport Energy and performance optimization 0202 electrical engineering electronic engineering information engineering Reference architecture Actuator Heterogeneous system Energy (signal processing) |
| Zdroj: | CF Proceedings of the 16th ACM International Conference on Computing Frontiers ACM International Conference on Computing Frontiers 2019, CF 2019-Proceedings, 333-338 STARTPAGE=333;ENDPAGE=338;TITLE=ACM International Conference on Computing Frontiers 2019, CF 2019-Proceedings |
| Popis: | Cyber-Physical Systems (CPS) are systems that are in feedback with their environment, possibly with humans in the loop. They are often distributed with sensors and actuators, smart, adaptive and predictive and react in real-time. Image- A nd video-processing pipelines are a prime source for environmental information improving the possibilities of active, relevant feedback. In such a context, FitOptiVis aims to provide end-to-end multi-objective optimization for imaging and video pipelines of CPS, with emphasis on energy and performance, leveraging on a reference architecture, supported by low-power, high-performance, smart devices, and by methods and tools for combined design-time and run-time multi-objective optimization within system and environment constraints. |
| Databáze: | OpenAIRE |
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