Advait Madhavan

According to our database, Advait Madhavan authored at least 26 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance.

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

CoRR, 2024

Energy Efficient Convolutions with Temporal Arithmetic.

Rhys Gretsch, Peiyang Song, Advait Madhavan, Jeremy Lau, Timothy Sherwood

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Programmable electrical coupling between stochastic magnetic tunnel junctions.

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

CoRR, 2023

Experimental demonstration of a robust training method for strongly defective neuromorphic hardware.

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

CoRR, 2023

2022

Associative memories using complex-valued Hopfield networks based on spin-torque oscillator arrays.

Nitin Prasad, Prashansa Mukim, Advait Madhavan, Mark D. Stiles

Neuromorph. Comput. Eng., 2022

2021

Temporal Computing With Superconductors.

Georgios Tzimpragos, Jennifer Volk, Dilip Vasudevan, Nestan Tsiskaridze, George Michelogiannakis, Advait Madhavan, John Shalf, Timothy Sherwood

IEEE Micro, 2021

Temporal State Machines: Using Temporal Memory to Stitch Time-based Graph Computations.

Advait Madhavan, Matthew W. Daniels, Mark D. Stiles

ACM J. Emerg. Technol. Comput. Syst., 2021

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

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

CoRR, 2021

Mutual control of stochastic switching for two electrically coupled superparamagnetic tunnel junctions.

Philippe Talatchian, Matthew W. Daniels, Advait Madhavan, Matthew R. Pufall, Emilie Jué, William H. Rippard, Jabez J. McClelland, Mark D. Stiles

CoRR, 2021

In-sensor classification with boosted race trees.

Georgios Tzimpragos, Advait Madhavan, Dilip Vasudevan, Dmitri B. Strukov, Timothy Sherwood

Commun. ACM, 2021

A System for Validating Resistive Neural Network Prototypes.

Brian Hoskins, Wen Ma, Mitchell Fream, Osama Yousuf, Matthew W. Daniels, Jonathan Goodwill, Advait Madhavan, Hoang Tung, Mark Branstad, Muqing Liu, Rasmus Madsen, Jabez Mclelland, Gina C. Adam, Martin Lueker-Boden

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

2020

Temporal Memory with Magnetic Racetracks.

Hamed Vakili, Mohammad Nazmus Sakib, Samiran Ganguly, Mircea Stan, Matthew W. Daniels, Advait Madhavan, Mark D. Stiles, Avik W. Ghosh

CoRR, 2020

Storing and Retrieving Wavefronts with Resistive Temporal Memory.

Advait Madhavan, Mark D. Stiles

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Lessons Learned the Hard Way.

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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

A Computational Temporal Logic for Superconducting Accelerators.

Georgios Tzimpragos, Dilip Vasudevan, Nestan Tsiskaridze, George Michelogiannakis, Advait Madhavan, Jennifer Volk, John Shalf, Timothy Sherwood

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

2019

Energy-efficient stochastic computing with superparamagnetic tunnel junctions.

Matthew W. Daniels, Advait Madhavan, Philippe Talatchian, Alice Mizrahi, Mark D. Stiles

CoRR, 2019

Streaming Batch Eigenupdates for Hardware Neuromorphic Networks.

Brian D. Hoskins, Matthew W. Daniels, Siyuan Huang, Advait Madhavan, Gina C. Adam, Nikolai Zhitenev, Jabez J. McClelland, Mark D. Stiles

CoRR, 2019

Boosted Race Trees for Low Energy Classification.

Georgios Tzimpragos, Advait Madhavan, Dilip Vasudevan, Dmitri B. Strukov, Timothy Sherwood

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018

High-Throughput Pattern Matching With CMOL FPGA Circuits: Case for Logic-in-Memory Computing.

Advait Madhavan, Tim Sherwood, Dmitri B. Strukov

IEEE Trans. Very Large Scale Integr. Syst., 2018

2017

A 4-mm² 180-nm-CMOS 15-Giga-cell-updates-per-second DNA sequence alignment engine based on asynchronous race conditions.

Advait Madhavan, Timothy Sherwood, Dmitri B. Strukov

Proceedings of the 2017 IEEE Custom Integrated Circuits Conference, 2017

2016

Abusing Hardware Race Conditions for High Throughput Energy Efficient Computation.

Advait Madhavan

PhD thesis, 2016

Energy efficient computation with asynchronous races.

Advait Madhavan, Timothy Sherwood, Dmitri B. Strukov

Proceedings of the 53rd Annual Design Automation Conference, 2016

2015

Race Logic: Abusing Hardware Race Conditions to Perform Useful Computation.

Advait Madhavan, Timothy Sherwood, Dmitri B. Strukov

IEEE Micro, 2015

A configurable CMOS memory platform for 3D-integrated memristors.

Melika Payvand, Advait Madhavan, Miguel Angel Lastras-Montaño, Amirali Ghofrani, Justin Rofeh, Kwang-Ting Cheng, Dmitri B. Strukov, Luke Theogarajan

Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

2014

Race Logic: A hardware acceleration for dynamic programming algorithms.

Advait Madhavan, Timothy Sherwood, Dmitri B. Strukov

Proceedings of the ACM/IEEE 41st International Symposium on Computer Architecture, 2014

2012

Mapping of image and network processing tasks on high-throughput CMOL FPGA circuits.

Advait Madhavan, Dmitri B. Strukov

Proceedings of the 20th IEEE/IFIP International Conference on VLSI and System-on-Chip, 2012