Call for Papers - Session AE102/ Design Optimization Techniques
SAE 2015 WORLD CONGRESS
Call for Papers - Session AE102/ Design Optimization Techniques
April 21 - 23, 2015 * Detroit, Michigan USA
Dear Colleagues,
You are invited to submit:
- A summary stating the objective of the paper/presentation;
- A Tentative title;
- The 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, please retry on-line submission or email congress@sae.org. Offered papers shall not have been previously published; and if accepted, contributors will 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 abstracts September 1, 2014
Review Ready Manuscripts due to session organizers October 15, 2014
Final Manuscripts due to SAE February 6, 2015
Refer to the author resources site at http://volunteers.sae.org/authors.htm for other useful information in preparing your paper.
Session AE102 Description
In its quest to minimize in-vehicle E/E (HW/SW) architecture costs, mass/weight, and its impact on energy consumption the automotive industry is mainly relying upon ad-hoc methods, point tools, and in-house experience. Optimization-driven design decisions must be made when scarce information is available; design uncertainties are high, and so is the urgency to make such decisions because of time to market/competitive 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 of in-vehicle E/E (HW/SW) architectures 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, Trade-Study Support.
Paolo Giusto, Amit Choudhury
Session AE102 Organizers