Adaptive software-augmented hardware reconfiguration with dataflow design automation

Rubattu, Claudio;Palumbo, Francesca;
2018-01-01

Abstract

Demand of adaptive hard-constrained devices is continuing to increase. Developing efficient implementations of such systems means to address trade-offs among different specifications, i.e. real-time processing, low power consumption and partial context switching at runtime. In this PhD Plan, we will focus on the hardware perspective presenting how we intend to study and experience with adaptive co-processing architectures, considering software as a supporting element.
2018
Inglese
2017 International Conference on Reconfigurable Computing and FPGAs, ReConFig 2017
9781538637975
Institute of Electrical and Electronics Engineers Inc.
2018-
1
4
4
2017 International Conference on Reconfigurable Computing and FPGAs, ReConFig 2017
Esperti anonimi
04-06 December 2017
Cancun, Mexico
internazionale
scientifica
Software
Computer Networks and Communications
Computer Science Applications1707 Computer Vision and Pattern Recognition
Hardware and Architecture
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Rubattu, Claudio; Palumbo, Francesca; Pelcat, Maxime
273
3
4.1 Contributo in Atti di convegno
none
info:eu-repo/semantics/conferencePaper
   Cross-layer modEl-based fRamework for multi-oBjective dEsign of Reconfigurable systems in unceRtain hybRid envirOnments
   CERBERO
   European Commission
   Horizon 2020 Framework Programme
   732105
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