By Topic

NASA: A generic infrastructure for system-level MP-SoC design space exploration

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Zai Jian Jia ; Res. Inst. for Appl. Microelectron., Univ. of Las Palmas de Gran Canaria, Las Palmas, Spain ; Pimentel, A.D. ; Thompson, M. ; Bautista, T.
more authors

System-level simulation and design space exploration (DSE) are key ingredients for the design of multiprocessor system-on-chip (MP-SoC) based embedded systems. The efforts in this area, however, typically use ad-hoc software infrastructures to facilitate and support the system-level DSE experiments. In this paper, we present a new, generic system-level MP-SoC DSE infrastructure, called NASA (Non Ad-hoc Search Algorithm). This highly modular framework uses well-defined interfaces to easily integrate different system-level simulation tools as well as different combinations of search strategies in a simple plug-and-play fashion. Moreover, NASA deploys a so-called dimension-oriented DSE approach, allowing designers to configure the appropriate number of, possibly different, search algorithms to simultaneously co-explore the various design space dimensions. As a result, NASA provides a flexible and re-usable framework for the systematic exploration of the multi-dimensional MP-SoC design space, starting from a set of relatively simple user specifications. To demonstrate the distinct aspects of NASA, we also present several DSE experiments in which we, e.g., compare NASA configurations using a single search algorithm for all design space dimensions to configurations using a separate search algorithm per dimension. These experiments indicate that the latter multi-dimensional co-exploration can find better design points and evaluates a higher diversity of design alternatives as compared to the more traditional approach of using a single search algorithm for all dimensions.

Published in:

Embedded Systems for Real-Time Multimedia (ESTIMedia), 2010 8th IEEE Workshop on

Date of Conference:

28-29 Oct. 2010