Measurement Uncertainty

The Physical Computation Laboratory investigates hardware structures for efficiently quantifying uncertainty in sensors as well as hardware architectures for tracking uncertainty throughout computations.

Error-Efficient Computing Systems

Phillip Stanley-Marbell and Martin Rinard, Foundations and Trends in Electronic Design Automation, 2017. ISBN: 9978-1680833584. Paperback: 114 pages. Publisher: NOW Publishers.       
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Error-Efficient Computing Systems
Encoder logic for reducing serial I/O power in sensors and sensor hubs

Phillip Stanley-Marbell, Pier Andrea Francese, and Martin Rinard, IEEE Hot Chips 28 Symposium 2016 Poster.      
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Encoder logic for reducing serial I/O power in sensors and sensor hubs
Reducing Serial I/O Power In Error-Tolerant Applications by Efficient Lossy Encoding

P. Stanley-Marbell and M. Rinard. IEEE/ACM DAC, 2016.      
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Reducing Serial I/O Power In Error-Tolerant Applications by Efficient Lossy Encoding
Efficiency Limits for Value-Deviation-Bounded Approximate Communication

Phillip Stanley-Marbell and Martin Rinard, IEEE Embedded Systems Letters, December 2015.       
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Efficiency Limits for Value-Deviation-Bounded Approximate Communication