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Advait Madhavan (Assoc)

Advait Madhavan is a UMD Assistant Research Scientist in the Alternative Computing Group in the Nanoscale Device Characterization Division of the Physical Measurement Laboratory (PML). He received a Ph.D. in Electrical and Computer Engineering from the University of California, Santa Barbara and is currently working with Mark Stiles and Jabez McClelland. His interests lie in various brain inspired approaches to computation such as temporal, analog and stochastic codes. His expertise lies in VLSI, with the objective of building chips to interface with emerging technologies in order to realize these unconventional computing paradigms.

Selected Publications

  • Madhavan, Advait, Matthew W. Daniels, and Mark D. Stiles. "Temporal state machines: Using temporal memory to stitch time-based graph computations." ACM Journal on Emerging Technologies in Computing Systems (JETC) 17.3 (2021): 1-27.
  • Race logic: A hardware acceleration for dynamic programming algorithms, Madhavan, A., Sherwood, T., & Strukov, D., ACM SIGARCH Computer Architecture News, 42(3), 517-528 (2014).
  • A 4-mm 2 180-nm-CMOS 15-Giga-cell-updates-per-second DNA sequence alignment engine based on asynchronous race conditions, Madhavan, A., Sherwood, T., & Strukov, D., In Custom Integrated Circuits Conference (CICC), 2017 IEEE (pp. 1-4). IEEE (2017, April).

Publications

Characterization of Noise in CMOS Ring Oscillators at Cryogenic Temperatures

Author(s)
Prashansa Mukim, Pragya Shrestha, Advait Madhavan, Nitin Prasad, Jason Campbell, Forrest Brewer, Mark Stiles, Jabez J. McClelland
Allan deviation provides a means to characterize the time-dependence of noise in oscillators and potentially identify the source characteristics. Measurements

Implementation of a Binary Neural Network on a Passive Array of Magnetic Tunnel Junctions

Author(s)
Jonathan Goodwill, Nitin Prasad, Brian Hoskins, Matthew Daniels, Advait Madhavan, Lei Wan, Tiffany Santos, Michael Tran, Jordan Katine, Patrick Braganca, Mark Stiles, Jabez J. McClelland
The increasing scale of neural networks and their growing application space have produced a demand for more energy and memory efficient artificial-intelligence
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Patents (2018-Present)

Quasi-Systolic Processor and Quasi-Systolic Array

NIST Inventors
Brian Hoskins , Matthew Daniels , Mark D. Stiles , Advait Madhavan and Gina Adam
A quasi-systolic array includes: a primary quasi-systolic processor; an edge row bank and edge column bank of edge quasi-systolic processors; and an interior bank of interior quasi-systolic processors. The primary quasi-systolic processor, edge quasi-systolic processor, and interior quasi-systolic

TIMING-BASED COMPUTER ARCHITECTURE SYSTEMS AND METHODS

NIST Inventors
Advait Madhavan , Mark D. Stiles and Matthew Daniels
Tropical algebra is an emerging field of mathematics concerned with graph theory, control theory, and certain optimization problems, especially in discrete event systems. We developed a novel computer circuit called a tropical state machine that uses signal timing and the physics of nanodevices to
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Created August 15, 2019, Updated December 9, 2022