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Thundervolt: enabling aggressive voltage underscaling and timing error resilience for energy efficient deep learning accelerators
J Zhang, K Rangineni, Z Ghodsi, S Garg
Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018
Analyzing and mitigating the impact of permanent faults on a systolic array based neural network accelerator
JJ Zhang, T Gu, K Basu, S Garg
2018 IEEE 36th VLSI Test Symposium (VTS), 1-6, 2018
Logic locking for secure outsourced chip fabrication: A new attack and provably secure defense mechanism
ME Massad, J Zhang, S Garg, MV Tripunitara
arXiv preprint arXiv:1703.10187, 2017
Fault-tolerant systolic array based accelerators for deep neural network execution
JJ Zhang, K Basu, S Garg
IEEE Design & Test 36 (5), 44-53, 2019
Building robust machine learning systems: Current progress, research challenges, and opportunities
JJ Zhang, K Liu, F Khalid, MA Hanif, S Rehman, T Theocharides, A Artussi, ...
Proceedings of the 56th Annual Design Automation Conference 2019, 1-4, 2019
Energy optimization for data allocation with hybrid SRAM+ NVM SPM
Y Wang, K Li, J Zhang, K Li
IEEE Transactions on Circuits and Systems I: Regular Papers 65 (1), 307-318, 2017
Power efficiency for hardware/software partitioning with time and area constraints on mpsoc
E Sha, L Wang, Q Zhuge, J Zhang, J Liu
International Journal of Parallel Programming 43, 381-402, 2015
Fate: Fast and accurate timing error prediction framework for low power dnn accelerator design
JJ Zhang, S Garg
2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2018
Model-switching: Dealing with fluctuating workloads in machine-learning-as-a-service systems
J Zhang, S Elnikety, S Zarar, A Gupta, S Garg
Proceedings of the 12th USENIX Conference on Hot Topics in Cloud Computing, 5-5, 2020
Efficient fault-tolerant scheduling on multiprocessor systems via replication and deallocation
J Zhang, EHM Sha, Q Zhuge, J Yi, K Wu
International Journal of Embedded Systems 6 (2), 216-224, 2014
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance
U Gupta, S Hsia, J Zhang, M Wilkening, J Pombra, HHS Lee, GY Wei, ...
2021 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021
Optimizing data allocation for loops on embedded systems with scratch-pad memory
J Zhang, T Deng, Q Gao, Q Zhuge, EHM Sha
2012 IEEE International Conference on Embedded and Real-Time Computing …, 2012
CompAct: On-chip Compression of Activations for Low Power Systolic Array Based CNN Acceleration
J Zhang, P Raj, S Zarar, A Ambardekar, S Garg
ACM Transactions on Embedded Computing Systems (TECS) 18 (5s), 1-24, 2019
Enabling timing error resilience for low-power systolic-array based deep learning accelerators
J Zhang, Z Ghodsi, S Garg, K Rangineni
IEEE Design & Test 37 (2), 93-102, 2019
An adaptive invasive weed optimization algorithm
S Peng, AJ Ouyang, JJ Zhang
International Journal of Pattern Recognition and Artificial Intelligence 29 …, 2015
Assessing robustness of hyperdimensional computing against errors in associative memory
S Zhang, R Wang, JJ Zhang, A Rahimi, X Jiao
2021 IEEE 32nd International Conference on Application-specific Systems …, 2021
Opencgra: Democratizing coarse-grained reconfigurable arrays
C Tan, NB Agostini, J Zhang, M Minutoli, VG Castellana, C Xie, T Geng, ...
2021 IEEE 32nd International Conference on Application-specific Systems …, 2021
Millimeter wave wireless assisted robot navigation with link state classification
M Yin, AK Veldanda, A Trivedi, J Zhang, K Pfeiffer, Y Hu, S Garg, E Erkip, ...
IEEE Open Journal of the Communications Society 3, 493-507, 2022
Secure and resilient socs for autonomous vehicles
P Bose, A Vega, S Adve, V Adve, S Misailovic, L Carloni, K Shepard, ...
Proceedings of the 3rd International Workshop on Domain Specific System …, 2021
BandiTS: dynamic timing speculation using multi-armed bandit based optimization
JJ Zhang, S Garg
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017
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