000204879 001__ 204879
000204879 005__ 20190812205824.0
000204879 0247_ $$2doi$$a10.1109/SiPS.2014.6986054
000204879 037__ $$aCONF
000204879 245__ $$aDataflow programs analysis and optimization using model predictive control techniques: An example of bounded buffer scheduling
000204879 269__ $$a2014
000204879 260__ $$bIEEE$$c2014
000204879 336__ $$aConference Papers
000204879 520__ $$aThis paper presents a new approach to buffer dimensioning for dynamic dataflow implementations. A novel transformation applied to the execution trace graph of a dataflow program is introduced in order to generate an event driven system. It is shown how model predictive control theory techniques can be applied to such a system to analyse the execution space of a dataflow program and to define and to minimize a bounded buffer size configuration that corresponds to a deadlock free execution. Some experimental results obtained using two design examples, i.e. a JPEG and an MPEG HEVC decoder, are reported and compared to the state of the art results in order to show the effectiveness of the introduced approach. © 2014 IEEE.
000204879 700__ $$aCanale, M.
000204879 700__ $$aCasale-Brunet, S.
000204879 700__ $$aBezati, E.
000204879 700__ $$0240111$$g102553$$aMattavelli, M.
000204879 700__ $$aJanneck, J. W.
000204879 7112_ $$d20-22 October 2014$$cBelfast, United Kingdom$$a2014 IEEE Workshop on Signal Processing Systems (SiPS)
000204879 773__ $$t2014 IEEE Workshop on Signal Processing Systems (SiPS)$$q1-6
000204879 909C0 $$xU12149$$pSCI-STI-MM$$0252288
000204879 909CO $$pconf$$pSTI$$ooai:infoscience.tind.io:204879
000204879 917Z8 $$x202534
000204879 917Z8 $$x249835
000204879 937__ $$aEPFL-CONF-204879
000204879 973__ $$rNON-REVIEWED$$sPUBLISHED$$aEPFL
000204879 980__ $$aCONF