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Methodological Framework for NoC Resources Dimensioning on FPGAs
Author(s) -
Virginie Fresse,
Catherine Combes,
M. Payet,
Frédéric Rousseau
Publication year - 2015
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2015.07.225
Subject(s) - computer science , dimensioning , field programmable gate array , task (project management) , graph , architecture , computer architecture , network on a chip , field (mathematics) , embedded system , distributed computing , theoretical computer science , art , management , engineering , economics , visual arts , aerospace engineering , mathematics , pure mathematics
The two main challenges involved in prototyping a SoC (System-On-Chip) on a FPGA (field programmable gate array) are optimal tuning of the communication architecture according to the task graph of an application, and dimensioning the FPGA resources. In this paper, we present a methodological framework to estimate the number of resources required for a given communication architecture and task graph. Data analysis was based on a set of synthesized results for a given on-chip network. The most appropriate models were identified using a data mining approach. The evaluation of the models shows that the relative error is less than 5% in most cases. It is therefore possible to estimate the required resources in a short exploration time and without the synthesis steps

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