EPrints@IIT Delhi >
Faculty Research Publicatons  >
Computer Science and Engineering >

Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/2106

Title: A complexity effective communication model for behavioral modeling of signal processing applications
Authors: Satya Kiran, M N V
Jayram, M N
Rao, P
Nandy, S K
Keywords: high bandwidth data
signal processing applications
Issue Date: 2003
Citation: Design Automation Conference, Proceedings, 412 - 415p.
Abstract: In this paper, we argue that the address space of memory regions that participate in inter task communication is over-specified by the traditional communication models used in behavioral modeling, resulting in sub-optimal implementations. We propose shared messaging communication model and the associated channels for efficient inter task communication of high bandwidth data streams in behavioral models of signal processing applications. In shared messaging model, tasks communicate data through special memory regions whose address space is unspecified by the model without introducing non determinism. Address space to these regions can be assigned during mapping of application to specific architecture, by exploring feasible alternatives. We present experimental results to show that this flexibility reduces the complexity (e.g., communication latency, memory usage) of implementations significantly (up to an order of magnitude).
URI: http://eprint.iitd.ac.in/dspace/handle/2074/2106
Appears in Collections:Computer Science and Engineering

Files in This Item:

File Description SizeFormat
kirancom2003.pdf50.93 kBAdobe PDFView/Open
View Statistics

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


Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback