SEAD - Statistically Enhanced Mixed-Signal and Analog Design

José Machado da Silva  Shawn Blanton "The SEAD project allows developing preliminary research driven by real-world problems in order to promote the resolution of problems of high economic impact for future electronics industry. Its outcomes will:
- promote the joint research of academic/industrial specialists in microelectronics and applied mathematics, at an international level (Portugal/USA);
- provide preliminary results with high potential for future development in the context of PhD projects and /or contracts with industry;
- give students the opportunity to experiment and validate their research outcomes within industrial tools, products, and equipment (at SILICONGATE), as well as to evaluate the impact of the proposed solutions in the company activity;
- build-up an exchange of experiences that will contribute to foster a culture of international joint supervision and industry-academy cooperation." José Machado da Silva and Shawn Blanton 
Portuguese PI
José Machado
da Silva
INESC TEC/FEUP)










 
CMU PI
Shawn Blanton

 












 

Research teams: INESC TEC/ FEUP/ INESC -ID
Organizations:
SILICONGATE Lda 
Funding Reference: FCT CMUP-EPB/TIC/0038/2013 
Duration:
12 months 
Keywords:
Analog and mixed-signal design, CAD tools, Variability, Statistical Inference, Post- silicon tuning  

The design, manufacture and operational characteristics (e.g., yield, performance, and reliability) of modern electronic integrated systems exhibit extreme levels of complexity that cannot be easily modeled or predicted.

The prohibitively high cost associated with pre-silicon validation and post-silicon tuning of current analog and mixed-signal (AMS) circuits is a growing problem, as devices continue to shrink and the relative magnitude of critical process fluctuations continues to grow. There is an immediate need to develop new methodologies and tools to support the validation and tuning of nanoscale AMS circuits for future technology generations.
 
The SEAD Early Bird Project aims at studying and evaluating statistical learning and applied mathematical methods to minimize the simulation and measurement cost for both pre-silicon validation and post-silicon tuning of AMS circuits.

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The Phase II of the Carnegie Mellon Portugal Program emphasizes advanced education and research that can lead to significant entrepreneurial impact. The Early Bird Projects are designed to assist small teams of researchers from Portuguese institutions, Carnegie Mellon University and industry partners, to jumpstart high-impact potential activities of strategic relevance for the Program. 

Research Opportunities more