| 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 | 58 | 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 | 38 | 2018 |
| 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 (3), 381-402, 2015 | 26 | 2015 |
| 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 | 24 | 2017 |
| 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 | 23 | 2017 |
| 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 | 19 | 2014 |
| 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 | 16 | 2019 |
| 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 | 13 | 2018 |
| An adaptive invasive weed optimization algorithm S Peng, AJ Ouyang, JJ Zhang International Journal of Pattern Recognition and Artificial Intelligence 29 …, 2015 | 11 | 2015 |
| 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 | 9 | 2012 |
| 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 | 8 | 2019 |
| 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 | 6 | 2019 |
| BandiTS: dynamic timing speculation using multi-armed bandit based optimization JJ Zhang, S Garg Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017 | 4 | 2017 |
| Synergistic timing speculation for multi-threaded programs A Yasin, JJ Zhang, H Chen, S Garg, S Roy, K Chakraborty Proceedings of the 53rd Annual Design Automation Conference, 1-6, 2016 | 4 | 2016 |
| Efficient feasibility analysis of DAG scheduling with real-time constraints in the presence of faults X Cui, J Zhang, K Wu, E Sha Design Automation Conference (ASP-DAC), 2014 19th Asia and South Pacific …, 2014 | 4 | 2014 |
| Optimizing data placement of loops for energy minimization with multiple types of memories J Zhang, T Deng, Q Gao, Q Zhuge, EHM Sha Journal of Signal Processing Systems 72 (3), 151-164, 2013 | 4 | 2013 |
| Enabling extreme energy efficiency via timing speculation for deep neural network accelerators J Zhang, Z Ghodsi, K Rangineni, S Garg NYU Center for Cyber Security, 2017 | 3 | 2017 |
| 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 | 2 | 2019 |
| Selectively controlling memory power for scheduled computations AA Ambardekar, SM Zarar, J Zhang US Patent App. 16/355,086, 2020 | 1 | 2020 |
| Model-switching: Dealing with fluctuating workloads in machine-learning-as-a-service systems J Zhang, S Elnikety, S Zarar, A Gupta, S Garg 12th {USENIX} Workshop on Hot Topics in Cloud Computing (HotCloud 20), 2020 | 1 | 2020 |
Siddharth GargNew York UniversityDirección de correo verificada de nyu.edu
