Visible to the public CFP - SAE 2014 WORLD CONGRESS

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SAE 2014 WORLD CONGRESS
Call for Papers - Session AE318/Optimization-Driven Design Automation of E/E Architectures
April 8 - 10, 2014 - Detroit, Michigan

You are invited to submit:

  1. A summary that states the objective of the paper/presentation;
  2. Tentative title;
  3. Name of the author and co-authors and all contact information


Abstracts must be submitted on-line to SAE and targeted to ONE session only.
Upon submission, you will receive an automatic reply with your paper offer number.
If you do not receive a paper offer number at that point, at that point, please retry on-line submission or email norif@sae.org.

Offered papers shall not have been published outside of SAE; and if accepted, contributors agree to not release their paper for publication through other media.

Paper acceptance will be based on organizer moderated peer review of a review ready manuscript in line with the following dates:

Deadline for submitting paper offers September 1, 2013
Review Ready Manuscripts due to session organizers October 15, 2013
Final Manuscripts due to SAE January 28, 2014

Session AE318 Description

In its quest to minimize in-vehicle E/E (HW/SW) architecture costs, mass/weight, and energy consumption the automotive industry is relying upon ad-hoc methods, point tools, and in-house experience. Optimization-driven design decisions are made when scarce information is available; design uncertainties are high, and so is the urgency to make such decisions because of time to market pressures and government regulations.

This session aims at addressing optimization-driven design by presenting the most novel approaches aimed at ensuring a high degree of automation and integration of the different models, methods, tools, and design data used for an optimization driven design process in the presence of current and future uncertainties.

KEYWORDS: Design Automation, Optimization, Minimization, Mass, Cost, Power, Energy, Design Flow Management, E/E Architectures, Tool Integration Platforms, Data/Meta-Data Models.

Paolo Giusto, Amit Choudhury
Session AE318 Organizers