Dataflow modeling for reconfigurable signal processing systems

Palumbo F.
2018-01-01

Abstract

Nowadays, adaptive signal processing systems have become a reality. Their development has been mainly driven by the need of satisfying diverging constraints and changeable user needs, like resolution and throughput versus energy consumption. System runtime tuning, based on constraints/conditions variations, can be effectively achieved by adopting reconfigurable computing infrastructures. These latter could be implemented either at the hardware or at the software level, but in any case their management and subsequent implementation is not trivial. In this chapter we present how dataflow models properties, as predictability and analyzability, can ease the development of reconfigurable signal processing systems, leading designers from modelling to physical system deployment.
2018
Inglese
Handbook of Signal Processing Systems
Shuvra S. Bhattacharyya Ed F. Deprettere Rainer Leupers J
787
824
38
Springer International Publishing
London
978-3-319-91733-7
2-s2.0-85063785753
https://www.springer.com/in/book/978-3-319-91734-4
Sì, ma tipo non specificato
internazionale
scientifica
sì
info:eu-repo/semantics/bookPart
2.1 Contributo in volume (Capitolo o Saggio)
Desnos, K.; Palumbo, F.
2 Contributo in Volume::2.1 Contributo in volume (Capitolo o Saggio)
2
268
none
   Cross-layer modEl-based fRamework for multi-oBjective dEsign of Reconfigurable systems in unceRtain hybRid envirOnments
   CERBERO
   European Commission
   Horizon 2020 Framework Programme
   732105
Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Questionnaire and social

Share on:
Impostazioni cookie