Παρακολούθηση
Shikhar Tuli
Shikhar Tuli
Samsung Research, Princeton University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα princeton.edu - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
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Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing
S Tuli, S Tuli, R Tuli, SS Gill
Internet of things 11, 100222, 2020
5442020
Transformative effects of IoT, Blockchain and Artificial Intelligence on Cloud Computing: Evolution, Vision, Trends and Open Challenges
SS Gill, S Tuli, M Xu, I Singh, KV Singh, D Lindsay, S Tuli, D Smirnova, ...
Internet of Things, 100118, 2019
5192019
Fogbus: A blockchain-based lightweight framework for edge and fog computing
S Tuli, R Mahmud, S Tuli, R Buyya
Journal of Systems and Software 154, 22-36, 2019
4132019
Are Convolutional Neural Networks or Transformers more like human vision?
S Tuli, I Dasgupta, E Grant, TL Griffiths
Annual Meeting of the Cognitive Science Society (CogSci), 2021
2472021
Next Generation Technologies for Smart Healthcare: Challenges, Vision, Model, Trends and Future Directions
S Tuli, S Tuli, G Wander, P Wander, SS Gill, S Dustdar, R Sakellariou, ...
Internet Technology Letters, 2019
128*2019
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges. Internet of Things, 8, 100118
SS Gill, S Tuli, M Xu, I Singh, KV Singh, D Lindsay, S Tuli, D Smirnova, ...
DOI: https://doi. org/10.1016/j. iot, 2019
342019
& Garraghan, P.(2019)
SS Gill, S Tuli, M Xu, I Singh, KV Singh, D Lindsay
Transformative effects of IoT, Blockchain and Artificial Intelligence on …, 2019
34*2019
AccelTran: A sparsity-aware accelerator for dynamic inference with transformers
S Tuli, NK Jha
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023
292023
Tranad: Deep transformer networks for anomaly detection in multivariate time series data. arXiv 2022
S Tuli, G Casale, NR Jennings
arXiv preprint arXiv:2201.07284, 0
25
Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing. Internet of Things, 11, 100222
S Tuli, S Tuli, R Tuli, SS Gill
232020
Modelling for prediction of the spread and severity of COVID-19 and its association with socioeconomic factors and virus types
S Tuli, S Tuli, R Verma, R Tuli
MedRxiv, 2020.06. 18.20134874, 2020
212020
CODEBench: A neural architecture and hardware accelerator co-design framework
S Tuli, CH Li, R Sharma, NK Jha
ACM Transactions on Embedded Computing Systems 22 (3), 1-30, 2023
182023
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?
S Tuli, B Dedhia, S Tuli, NK Jha
Journal of Artificial Intelligence Research 77, 39-70, 2023
132023
DHOOM: Reusing Design-for-Debug Hardware for Online Monitoring
N Jindal, S Chandran, PR Panda, S Prasad, A Mitra, K Singhal, S Gupta, ...
Design Automation Conference 2019, 99, 2019
132019
Generative Optimization Networks for Memory Efficient Data Generation
S Tuli, S Tuli, G Casale, NR Jennings
Advances in Neural Information Processing Systems (NeurIPS), Workshop on ML …, 2021
102021
RRAM-VAC: A Variability-Aware Controller for RRAM-based Memory Architectures
S Tuli, MA Rios, ASJ Levisse, D Atienza Alonso
Asia and South Pacific Design Automation Conference ASP-DAC 2020, 2020
92020
Characterization and modeling of hot carrier degradation in N-channel gate-all-around nanowire FETs
C Gupta, A Gupta, S Tuli, E Bury, B Parvais, A Dixit
IEEE Transactions on Electron Devices 67 (1), 4-10, 2019
82019
TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference
S Tuli, NK Jha
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023
62023
Modegpt: Modular decomposition for large language model compression
CH Lin, S Gao, JS Smith, A Patel, S Tuli, Y Shen, H Jin, YC Hsu
arXiv preprint arXiv:2408.09632, 2024
52024
EdgeTran: Device-aware co-search of transformers for efficient inference on mobile edge platforms
S Tuli, NK Jha
IEEE Transactions on Mobile Computing, 2023
52023
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