Publications
This section contains publications published by ISI over the past several decades.
2022
Selected Papers From the 2021 IEEE Symposium on Security and Privacy
Terry Benzel, Thorsten Holz
IEEE Security & Privacy 20 (02), 8-9, 2022
Remora: A MPI runtime for Composed Applications at Extreme Scale.
Noah Evans, Kevin Pedretti, Shyamali Mukherjee, Brian Kocoloski, John Russell Lange, Patrick G Bridges
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
Hobbes Node Virtualization Layer: System Software Infrastructure for Application Composition and Performance Isolation.
Noah Evans, Kevin Pedretti, Shyamali Mukherjee, Brian Kocoloski, John Russell Lange, Patrick G Bridges, Ronald B Brightwell
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
Hoyer regularizer is all you need for ultra low-latency spiking neural networks
Gourav Datta, Zeyu Liu, Peter A Beerel
arXiv preprint arXiv:2212.10170, 2022
Toward Adversary-aware Non-iterative Model Pruning through Dynamic Network Rewiring of DNNs
Souvik Kundu, Yao Fu, Bill Ye, Peter A Beerel, Massoud Pedram
ACM Transactions on Embedded Computing Systems 21 (5), 1-24, 2022
Towards energy-efficient, low-latency and accurate spiking LSTMs
Gourav Datta, Haoqin Deng, Robert Aviles, Peter A Beerel
arXiv preprint arXiv:2210.12613, 2022
Pipeedge: Pipeline parallelism for large-scale model inference on heterogeneous edge devices
Yang Hu, Connor Imes, Xuanang Zhao, Souvik Kundu, Peter A Beerel, Stephen P Crago, John Paul Walters
2022 25th Euromicro Conference on Digital System Design (DSD), 298-307, 2022
Multi-phase clocking for multi-threaded gate-level-pipelined superconductive logic
Xi Li, Min Pan, Tong Liu, Peter A Beerel
2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 62-67, 2022
Radiation hardening by design techniques for the mutual exclusion element
Moises Herrera, Peter Beerel
Proceedings of the Great Lakes Symposium on VLSI 2022, 267-273, 2022
ACE-SNN: Algorithm-hardware co-design of energy-efficient & low-latency deep spiking neural networks for 3d image recognition
Gourav Datta, Souvik Kundu, Akhilesh R Jaiswal, Peter A Beerel
Frontiers in neuroscience 16, 815258, 2022
A fast and efficient conditional learning for tunable trade-off between accuracy and robustness
Souvik Kundu, Sairam Sundaresan, Massoud Pedram, Peter A Beerel
arXiv preprint arXiv:2204.00426, 2022
TriLock: IC protection with tunable corruptibility and resilience to SAT and removal attacks
Yuke Zhang, Yinghua Hu, Pierluigi Nuzzo, Peter A Beerel
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2022
Bmpq: bit-gradient sensitivity-driven mixed-precision quantization of dnns from scratch
Souvik Kundu, Shikai Wang, Qirui Sun, Peter A Beerel, Massoud Pedram
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 588-591, 2022
Can deep neural networks be converted to ultra low-latency spiking neural networks?
Gourav Datta, Peter A Beerel
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 718-723, 2022
Towards a formal treatment of logic locking
Peter Beerel, Marios Georgiou, Ben Hamlin, Alex J Malozemoff, Pierluigi Nuzzo
Cryptology ePrint Archive, 2022
Using genetic algorithms for safe swarm trajectory optimization
D Barnhart, R Rughani, T Presser
US Patent App. 17/568,462, 2022
Low Temperature Solid Propellant Investigations for Mechanical Properties
David Barnhart, David Bacher, Jacob J Davies, Jessica Ridgeway, Sahana Ramesh, Samyag Madrecha, Ava Badii, Claire Stevlingson, Emilie Reynoso, Jeremy Struhl, Khalil Dajani
AIAA AVIATION 2022 Forum, 3268, 2022
Enabling a Multi-National Commercial Destination in Space: The Port
David Barnhart, Dan Lopez, Rahul Rughani, Mbuyi Khuzadi, Thomas A Schervan, Joerg Kreisel, Jeremy Allam, Mark Lorden, Bill Crandall, Max Arshavsky
AIAA SCITECH 2022 Forum, 2465, 2022
Influence of fluid flows on electric double layers in evaporating colloidal sessile droplets
Semen V Zavarzin, Andrei L Kolesnikov, Yury A Budkov, Lev Yu Barash
The European Physical Journal E 45 (3), 24, 2022
Semi-synchronous federated learning for energy-efficient training and accelerated convergence in cross-silo settings
Dimitris Stripelis, Paul M Thompson, José Luis Ambite
ACM Transactions on Intelligent Systems and Technology (TIST) 13 (5), 1-29, 2022