David Black-Schaffer

Ph.D., June 2008
Stanford University
Department of Electrical Engineering
Concurrent VLSI Architecture Group


Efficient Embedded Computing: Can we build a programmable architecture that is energy- and performance- competitive with standard cell ASIC designs?

This is an intriguing area of research because embedded algorithms are becoming increasingly complicated at the same time as ASIC tape-out costs are increasing. These two trends lead to an enormous increase in the cost of designing ASICs for modern embedded systems. However, by analyzing where ASICs achieve a power-advantage over programmable devices we hope to be able to design an architecture and a set of software tools that will enable an efficient embedded computing architecture.

Efficient Embedded Computing:

Previous work:

Other "Academic" Activities


I attended Phillips Academy Andover and earned an AB with a major in Engineering from Dartmouth College. I received my M.S. in Electrical Engineering from Stanford, and met my wife here while she was on an exchange program from Linköpings Universitet in Sweden. She is currently pursuing a Ph.D. in Applied Physics at Stanford.


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