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ORCIDAdvait Madhavan
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2020 – today
- 2024
[c11]Rhys Gretsch
, Peiyang Song, Advait Madhavan, Jeremy Lau, Timothy Sherwood:
Energy Efficient Convolutions with Temporal Arithmetic. ASPLOS (2) 2024: 354-368- [i11]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 abs/2404.15621 (2024) - 2023
- [i10]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 abs/2312.06446 (2023) - [i9]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 abs/2312.13171 (2023) - 2022
- [j6]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): 34003 (2022) - 2021
- [j5]Georgios Tzimpragos, Advait Madhavan, Dilip Vasudevan, Dmitri B. Strukov, Timothy Sherwood:
In-sensor classification with boosted race trees. Commun. ACM 64(6): 99-105 (2021) - [j4]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): 28:1-28:27 (2021) - [j3]Georgios Tzimpragos, Jennifer Volk, Dilip Vasudevan, Nestan Tsiskaridze, George Michelogiannakis, Advait Madhavan, John Shalf, Timothy Sherwood:
Temporal Computing With Superconductors. IEEE Micro 41(3): 71-79 (2021) - [c10]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:
A System for Validating Resistive Neural Network Prototypes. ICONS 2021: 26:1-26:5 - [i8]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 abs/2106.03604 (2021) - [i7]Nitin Prasad, Prashansa Mukim, Advait Madhavan, Mark D. Stiles:
Associative Memories Using Complex-Valued Hopfield Networks Based on Spin-Torque Oscillator Arrays. CoRR abs/2112.03358 (2021) - [i6]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 abs/2112.09159 (2021) - 2020
- [c9]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: 435-448 - [c8]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: 1-18 - [c7]Advait Madhavan, Mark D. Stiles:
Storing and Retrieving Wavefronts with Resistive Temporal Memory. ISCAS 2020: 1-5 - [i5]Advait Madhavan, Mark D. Stiles:
Storing and retrieving wavefronts with resistive temporal memory. CoRR abs/2003.09355 (2020) - [i4]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 abs/2005.10704 (2020) - [i3]Advait Madhavan, Matthew W. Daniels, Mark D. Stiles:
Temporal State Machines: Using temporal memory to stitch time-based graph computations. CoRR abs/2009.14243 (2020)
2010 – 2019
- 2019
- [c6]Georgios Tzimpragos, Advait Madhavan, Dilip Vasudevan, Dmitri B. Strukov, Timothy Sherwood:
Boosted Race Trees for Low Energy Classification. ASPLOS 2019: 215-228 - [i2]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 abs/1903.01635 (2019) - [i1]Matthew W. Daniels, Advait Madhavan, Philippe Talatchian, Alice Mizrahi, Mark D. Stiles:
Energy-efficient stochastic computing with superparamagnetic tunnel junctions. CoRR abs/1911.11204 (2019) - 2018
- [j2]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): 2759-2772 (2018) - 2017
- [c5]Advait Madhavan, Timothy Sherwood, Dmitri B. Strukov:
A 4-mm2 180-nm-CMOS 15-Giga-cell-updates-per-second DNA sequence alignment engine based on asynchronous race conditions. CICC 2017: 1-4 - 2016
- [b1]Advait Madhavan:
Abusing Hardware Race Conditions for High Throughput Energy Efficient Computation. University of California, Santa Barbara, USA, 2016 - [c4]Advait Madhavan, Timothy Sherwood, Dmitri B. Strukov:
Energy efficient computation with asynchronous races. DAC 2016: 108:1-108:6 - 2015
- [j1]Advait Madhavan, Timothy Sherwood, Dmitri B. Strukov:
Race Logic: Abusing Hardware Race Conditions to Perform Useful Computation. IEEE Micro 35(3): 48-57 (2015) - [c3]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: 1378-1381 - 2014
- [c2]Advait Madhavan, Timothy Sherwood, Dmitri B. Strukov:
Race Logic: A hardware acceleration for dynamic programming algorithms. ISCA 2014: 517-528 - 2012
- [c1]Advait Madhavan, Dmitri B. Strukov:
Mapping of image and network processing tasks on high-throughput CMOL FPGA circuits. VLSI-SoC 2012: 82-87
Coauthor Index
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