Advait Madhavan

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 24

Top Venues

University of California, Santa Barbara, USA (PHD)

Education History

University of California, Santa Barbara, USA

PHD

Publications

Rhys Gretsch, Peiyang Song, Advait Madhavan, Jeremy Lau, Timothy Sherwood
Energy Efficient Convolutions with Temporal Arithmetic. ASPLOS (2) (2024)
Osama Yousuf, Brian Hoskins, Karthick Ramu, Mitchell Fream, William A. Borders, Advait Madhavan, Matthew W. Daniels, Andrew Dienstfrey, Jabez J. McClelland, Martin Lueker-Boden, Gina C. Adam
Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance. CoRR (2024)
William A. Borders, Advait Madhavan, Matthew W. Daniels, Vasileia Georgiou, Martin Lueker-Boden, Tiffany S. Santos, Patrick M. Braganca, Mark D. Stiles, Jabez J. McClelland, Brian D. Hoskins
Experimental demonstration of a robust training method for strongly defective neuromorphic hardware. CoRR (2023)
Sidra Gibeault, Temitayo N. Adeyeye, Liam A. Pocher, Daniel P. Lathrop, Matthew W. Daniels, Mark D. Stiles, Jabez J. McClelland, William A. Borders, Jason T. Ryan, Philippe Talatchian, Ursula Ebels, Advait Madhavan
Programmable electrical coupling between stochastic magnetic tunnel junctions. CoRR (2023)
Nitin Prasad, Prashansa Mukim, Advait Madhavan, Mark D. Stiles
Associative memories using complex-valued Hopfield networks based on spin-torque oscillator arrays. Neuromorph. Comput. Eng. 2 (3) (2022)
Jonathan M. Goodwill, Nitin Prasad, Brian D. Hoskins, Matthew W. Daniels, Advait Madhavan, Lei Wan, Tiffany S. Santos, Michael Tran, Jordan A. Katine, Patrick M. Braganca, Mark D. Stiles, Jabez J. McClelland
Implementation of a Binary Neural Network on a Passive Array of Magnetic Tunnel Junctions. CoRR (2021)
Nitin Prasad, Prashansa Mukim, Advait Madhavan, Mark D. Stiles
Associative Memories Using Complex-Valued Hopfield Networks Based on Spin-Torque Oscillator Arrays. CoRR (2021)
Georgios Tzimpragos, Jennifer Volk, Dilip Vasudevan, Nestan Tsiskaridze, George Michelogiannakis, Advait Madhavan, John Shalf, Timothy Sherwood
Temporal Computing With Superconductors. IEEE Micro 41 (3) (2021)
Philippe Talatchian, Matthew W. Daniels, Advait Madhavan, Matthew R. Pufall, Emilie Jué, William H. Rippard, Jabez J. McClelland, Mark D. Stiles
Mutual control of stochastic switching for two electrically coupled superparamagnetic tunnel junctions. CoRR (2021)
Brian Hoskins, Wen Ma, Mitchell Fream, Osama Yousuf, Mathew Daniels, Jonathan Goodwill, Advait Madhavan, Hoang Tung, Mark Branstad, Muqing Liu, Rasmus Madsen, Jabez Mclelland, Gina C. Adam, Martin Lueker-Boden
A System for Validating Resistive Neural Network Prototypes. ICONS (2021)
Georgios Tzimpragos, Advait Madhavan, Dilip Vasudevan, Dmitri B. Strukov, Timothy Sherwood
In-sensor classification with boosted race trees. Commun. ACM 64 (6) (2021)
Advait Madhavan, Matthew W. Daniels, Mark D. Stiles
Temporal State Machines: Using Temporal Memory to Stitch Time-based Graph Computations. ACM J. Emerg. Technol. Comput. Syst. 17 (3) (2021)
Advait Madhavan, Mark D. Stiles
Storing and Retrieving Wavefronts with Resistive Temporal Memory. ISCAS (2020)
Hamed Vakili, Mohammad Nazmus Sakib, Samiran Ganguly, Mircea Stan, Matthew W. Daniels, Advait Madhavan, Mark D. Stiles, Avik W. Ghosh
Temporal Memory with Magnetic Racetracks. CoRR (2020)
Advait Madhavan, Mark D. Stiles
Storing and retrieving wavefronts with resistive temporal memory. CoRR (2020)
Advait Madhavan, Matthew W. Daniels, Mark D. Stiles
Temporal State Machines: Using temporal memory to stitch time-based graph computations. CoRR (2020)
Georgios Tzimpragos, Dilip Vasudevan, Nestan Tsiskaridze, George Michelogiannakis, Advait Madhavan, Jennifer Volk, John Shalf, Timothy Sherwood
A Computational Temporal Logic for Superconducting Accelerators. ASPLOS (2020)
Tobi Delbrück, Ibrahim Abe M. Elfadel, Shahzad Muzaffar, Germain Haessig, Bo Wang, Amine Bermak, Rui Graca, Luis A. Camuñas-Mesa, Bathiya Senevirathna, Pamela Abshire, Bernabé Linares-Barranco, Saeed Afshar, Shih-Chii Liu, Runchun Mark Wang, Piotr Dudek, Stephen J. Carey, José M. de la Rosa, Marc Dandin, Sheung Lu, Vincent Frick, Teresa Serrano-Gotarredona, Paula López, Melika Payvand, Advait Madhavan, Eric R. Fossum, Juan Camilo Vasquez Tieck, Ian Williams, Yan Liu, Timothy G. Constandinou, Alexander Serb, Ricardo Carmona-Galán, Robert Nawrocki, Walter D. Leon-Salas
Lessons Learned the Hard Way. ISCAS (2020)
Brian D. Hoskins, Matthew W. Daniels, Siyuan Huang, Advait Madhavan, Gina C. Adam, Nikolai Zhitenev, Jabez J. McClelland, Mark D. Stiles
Streaming Batch Eigenupdates for Hardware Neuromorphic Networks. CoRR (2019)
Georgios Tzimpragos, Advait Madhavan, Dilip Vasudevan, Dmitri B. Strukov, Timothy Sherwood
Boosted Race Trees for Low Energy Classification. ASPLOS (2019)
Matthew W. Daniels, Advait Madhavan, Philippe Talatchian, Alice Mizrahi, Mark D. Stiles
Energy-efficient stochastic computing with superparamagnetic tunnel junctions. CoRR (2019)
Advait Madhavan, Tim Sherwood, Dmitri B. Strukov
High-Throughput Pattern Matching With CMOL FPGA Circuits: Case for Logic-in-Memory Computing. IEEE Trans. Very Large Scale Integr. Syst. 26 (12) (2018)
Advait Madhavan, Timothy Sherwood, Dmitri B. Strukov
180-nm-CMOS 15-Giga-cell-updates-per-second DNA sequence alignment engine based on asynchronous race conditions. CICC (2017)
Advait Madhavan, Timothy Sherwood, Dmitri B. Strukov
Energy efficient computation with asynchronous races. DAC (2016)
Advait Madhavan, Timothy Sherwood, Dmitri B. Strukov
Race Logic: Abusing Hardware Race Conditions to Perform Useful Computation. IEEE Micro 35 (3) (2015)
Melika Payvand, Advait Madhavan, Miguel Angel Lastras-Montaño, Amirali Ghofrani, Justin Rofeh, Kwang-Ting Cheng, Dmitri B. Strukov, Luke Theogarajan
A configurable CMOS memory platform for 3D-integrated memristors. ISCAS (2015)
Advait Madhavan, Timothy Sherwood, Dmitri B. Strukov
Race Logic: A hardware acceleration for dynamic programming algorithms. ISCA (2014)
Advait Madhavan, Dmitri B. Strukov
Mapping of image and network processing tasks on high-throughput CMOL FPGA circuits. VLSI-SoC (2012)

Advait Madhavan

Publication Activity (10 Years)

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