Advait Madhavan

32 papers A* 4C 4Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Delay-Space Arithmetic and Architecture. IEEE Micro Rhys Gretsch, Peiyang Song, Advait Madhavan, Jeremy Lau, Timothy Sherwood
2024	—	`conf`	Energy Efficient Convolutions with Temporal Arithmetic. ASPLOS (2) Rhys Gretsch, Peiyang Song, Advait Madhavan, Jeremy Lau, Timothy Sherwood
2024	—	`conf`	Exploration of the viability of TiN/TiOX ReRAM in Computational Random-Access Memory (CRAM). ICRC Brandon R. Zink, Advait Madhavan, William A. Borders, Jabez J. McClelland
2024	J	`jnl`	Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance. CoRR Osama Yousuf, Brian Hoskins, Karthick Ramu, Mitchell Fream, William A. Borders, Advait Madhavan, Matthew W. Daniels, Andrew M. Dienstfrey, Jabez J. McClelland, Martin Lueker-Boden, Gina C. Adam
2024	J	`jnl`	Sampling from exponential distributions in the time domain with superparamagnetic tunnel junctions. CoRR Temitayo N. Adeyeye, Sidra Gibeault, Daniel P. Lathrop, Matthew W. Daniels, Mark D. Stiles, Jabez J. McClelland, William A. Borders, Jason T. Ryan, Philippe Talatchian, Ursula Ebels, Advait Madhavan
2023	J	`jnl`	Experimental demonstration of a robust training method for strongly defective neuromorphic hardware. CoRR 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
2023	J	`jnl`	Programmable electrical coupling between stochastic magnetic tunnel junctions. CoRR 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
2022	J	`jnl`	Associative memories using complex-valued Hopfield networks based on spin-torque oscillator arrays. Neuromorph. Comput. Eng. Nitin Prasad, Prashansa Mukim, Advait Madhavan, Mark D. Stiles
2021	—	`conf`	A System for Validating Resistive Neural Network Prototypes. ICONS Brian Hoskins, Wen Ma, Mitchell Fream, Osama Yousuf, Matthew W. Daniels, Jonathan Goodwill, Advait Madhavan, Hoang Tung, Mark Branstad, Muqing Liu, Rasmus Madsen, Jabez J. McClelland, Gina C. Adam, Martin Lueker-Boden
2021	J	`jnl`	Associative Memories Using Complex-Valued Hopfield Networks Based on Spin-Torque Oscillator Arrays. CoRR Nitin Prasad, Prashansa Mukim, Advait Madhavan, Mark D. Stiles
2021	J	`jnl`	Implementation of a Binary Neural Network on a Passive Array of Magnetic Tunnel Junctions. CoRR 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
2021	J	`jnl`	In-sensor classification with boosted race trees. Commun. ACM Georgios Tzimpragos, Advait Madhavan, Dilip Vasudevan, Dmitri B. Strukov, Timothy Sherwood
2021	J	`jnl`	Mutual control of stochastic switching for two electrically coupled superparamagnetic tunnel junctions. CoRR Philippe Talatchian, Matthew W. Daniels, Advait Madhavan, Matthew R. Pufall, Emilie Jué, William H. Rippard, Jabez J. McClelland, Mark D. Stiles
2021	J	`jnl`	Temporal Computing With Superconductors. IEEE Micro Georgios Tzimpragos, Jennifer Volk, Dilip Vasudevan, Nestan Tsiskaridze, George Michelogiannakis, Advait Madhavan, John Shalf, Timothy Sherwood
2021	J	`jnl`	Temporal State Machines: Using Temporal Memory to Stitch Time-based Graph Computations. ACM J. Emerg. Technol. Comput. Syst. Advait Madhavan, Matthew W. Daniels, Mark D. Stiles
2020	A*	`conf`	A Computational Temporal Logic for Superconducting Accelerators. ASPLOS Georgios Tzimpragos, Dilip Vasudevan, Nestan Tsiskaridze, George Michelogiannakis, Advait Madhavan, Jennifer Volk, John Shalf, Timothy Sherwood
2020	C	`conf`	Lessons Learned the Hard Way. ISCAS Tobi Delbruck, 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
2020	C	`conf`	Storing and Retrieving Wavefronts with Resistive Temporal Memory. ISCAS Advait Madhavan, Mark D. Stiles
2020	J	`jnl`	Storing and retrieving wavefronts with resistive temporal memory. CoRR Advait Madhavan, Mark D. Stiles
2020	J	`jnl`	Temporal Memory with Magnetic Racetracks. CoRR Hamed Vakili, Mohammad Nazmus Sakib, Samiran Ganguly, Mircea Stan, Matthew W. Daniels, Advait Madhavan, Mark D. Stiles, Avik W. Ghosh
2020	J	`jnl`	Temporal State Machines: Using temporal memory to stitch time-based graph computations. CoRR Advait Madhavan, Matthew W. Daniels, Mark D. Stiles
2019	A*	`conf`	Boosted Race Trees for Low Energy Classification. ASPLOS Georgios Tzimpragos, Advait Madhavan, Dilip Vasudevan, Dmitri B. Strukov, Timothy Sherwood
2019	J	`jnl`	Energy-efficient stochastic computing with superparamagnetic tunnel junctions. CoRR Matthew W. Daniels, Advait Madhavan, Philippe Talatchian, Alice Mizrahi, Mark D. Stiles
2019	J	`jnl`	Streaming Batch Eigenupdates for Hardware Neuromorphic Networks. CoRR Brian D. Hoskins, Matthew W. Daniels, Siyuan Huang, Advait Madhavan, Gina C. Adam, Nikolai Zhitenev, Jabez J. McClelland, Mark D. Stiles
2018	J	`jnl`	High-Throughput Pattern Matching With CMOL FPGA Circuits: Case for Logic-in-Memory Computing. IEEE Trans. Very Large Scale Integr. Syst. Advait Madhavan, Tim Sherwood, Dmitri B. Strukov
2017	—	`conf`	A 4-mm CICC Advait Madhavan, Timothy Sherwood, Dmitri B. Strukov
2016	—	`—`	Abusing Hardware Race Conditions for High Throughput Energy Efficient Computation. Advait Madhavan
2016	A*	`conf`	Energy efficient computation with asynchronous races. DAC Advait Madhavan, Timothy Sherwood, Dmitri B. Strukov
2015	C	`conf`	A configurable CMOS memory platform for 3D-integrated memristors. ISCAS Melika Payvand, Advait Madhavan, Miguel Angel Lastras-Montaño, Amirali Ghofrani, Justin Rofeh, Kwang-Ting Cheng, Dmitri B. Strukov, Luke Theogarajan
2015	J	`jnl`	Race Logic: Abusing Hardware Race Conditions to Perform Useful Computation. IEEE Micro Advait Madhavan, Timothy Sherwood, Dmitri B. Strukov
2014	A*	`conf`	Race Logic: A hardware acceleration for dynamic programming algorithms. ISCA Advait Madhavan, Timothy Sherwood, Dmitri B. Strukov
2012	C	`conf`	Mapping of image and network processing tasks on high-throughput CMOL FPGA circuits. VLSI-SoC Advait Madhavan, Dmitri B. Strukov