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2020 – today
- 2024
[j9]Shikhar Tuli
, Niraj K. Jha:
EdgeTran: Device-Aware Co-Search of Transformers for Efficient Inference on Mobile Edge Platforms. IEEE Trans. Mob. Comput. 23(6): 7012-7029 (2024)- [c8]Chi-Heng Lin, Shikhar Tuli, James Seale Smith, Yen-Chang Hsu, Yilin Shen, Hongxia Jin:
SLiM: Speculative Decoding with Hypothesis Reduction. NAACL-HLT (Findings) 2024: 1005-1017 - [c7]Shikhar Tuli, Chi-Heng Lin, Yen-Chang Hsu, Niraj K. Jha, Yilin Shen, Hongxia Jin:
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling. NAACL-HLT 2024: 3322-3345 - [i14]Shikhar Tuli, Chi-Heng Lin, Yen-Chang Hsu, Niraj K. Jha, Yilin Shen, Hongxia Jin:
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling. CoRR abs/2405.00888 (2024) - [i13]Chi-Heng Lin, Shangqian Gao, James Seale Smith, Abhishek Patel, Shikhar Tuli, Yilin Shen, Hongxia Jin, Yen-Chang Hsu:
MoDeGPT: Modular Decomposition for Large Language Model Compression. CoRR abs/2408.09632 (2024) - 2023
- [j8]Shikhar Tuli, Bhishma Dedhia, Shreshth Tuli, Niraj K. Jha:
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid? J. Artif. Intell. Res. 77: 39-70 (2023) - [j7]Shikhar Tuli, Niraj K. Jha:
AccelTran: A Sparsity-Aware Accelerator for Dynamic Inference With Transformers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 4038-4051 (2023) - [j6]Shikhar Tuli, Niraj K. Jha:
TransCODE: Co-Design of Transformers and Accelerators for Efficient Training and Inference. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(12): 4817-4830 (2023) - [j5]Shikhar Tuli, Chia-Hao Li, Ritvik Sharma, Niraj K. Jha:
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework. ACM Trans. Embed. Comput. Syst. 22(3): 51:1-51:30 (2023) - [i12]Shikhar Tuli, Niraj K. Jha:
AccelTran: A Sparsity-Aware Accelerator for Dynamic Inference with Transformers. CoRR abs/2302.14705 (2023) - [i11]Shikhar Tuli, Niraj K. Jha:
EdgeTran: Co-designing Transformers for Efficient Inference on Mobile Edge Platforms. CoRR abs/2303.13745 (2023) - [i10]Shikhar Tuli, Niraj K. Jha:
TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference. CoRR abs/2303.14882 (2023) - [i9]Shikhar Tuli, Niraj K. Jha:
BREATHE: Second-Order Gradients and Heteroscedastic Emulation based Design Space Exploration. CoRR abs/2308.08666 (2023) - 2022
- [i8]Shikhar Tuli, Bhishma Dedhia, Shreshth Tuli, Niraj K. Jha:
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid? CoRR abs/2205.11656 (2022) - [i7]Shikhar Tuli, Chia-Hao Li, Ritvik Sharma, Niraj K. Jha:
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework. CoRR abs/2212.03965 (2022) - 2021
- [c6]Shikhar Tuli, Ishita Dasgupta, Erin Grant, Tom Griffiths:
Are Convolutional Neural Networks or Transformers more like human vision? CogSci 2021 - [i6]Shikhar Tuli, Ishita Dasgupta, Erin Grant, Thomas L. Griffiths:
Are Convolutional Neural Networks or Transformers more like human vision? CoRR abs/2105.07197 (2021) - [i5]Shreshth Tuli, Shikhar Tuli, Giuliano Casale, Nicholas R. Jennings:
Generative Optimization Networks for Memory Efficient Data Generation. CoRR abs/2110.02912 (2021) - 2020
- [j4]Shreshth Tuli, Shikhar Tuli, Rakesh Tuli, Sukhpal Singh Gill:
Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing. Internet Things 11: 100222 (2020) - [j3]Shreshth Tuli, Shikhar Tuli, Gurleen Wander, Praneet Wander, Sukhpal Singh Gill, Schahram Dustdar, Rizos Sakellariou, Omer F. Rana:
Next generation technologies for smart healthcare: challenges, vision, model, trends and future directions. Internet Technol. Lett. 3(2) (2020) - [c5]Shikhar Tuli, Marco Rios, Alexandre Levisse, David Atienza:
RRAM-VAC: A Variability-Aware Controller for RRAM-based Memory Architectures. ASP-DAC 2020: 181-186 - [c4]Shikhar Tuli, Debanjan Bhowmik:
Design of a Conventional-Transistor-Based Analog Integrated Circuit for On-Chip Learning in a Spiking Neural Network. ICONS 2020: 14:1-14:8 - [c3]Shikhar Tuli, Shreshth Tuli:
AVAC: A Machine Learning Based Adaptive RRAM Variability-Aware Controller for Edge Devices. ISCAS 2020: 1-5 - [i4]Shikhar Tuli, Shreshth Tuli:
AVAC: A Machine Learning based Adaptive RRAM Variability-Aware Controller for Edge Devices. CoRR abs/2005.03077 (2020)
2010 – 2019
- 2019
- [j2]Sukhpal Singh Gill, Shreshth Tuli, Minxian Xu, Inderpreet Singh, Karan Vijay Singh, Dominic Lindsay, Shikhar Tuli, Daria Smirnova, Manmeet Singh, Udit Jain, Haris Pervaiz, Bhanu Sehgal, Sukhwinder Singh Kaila, Sanjay Misra, Mohammad Sadegh Aslanpour, Harshit Mehta, Vlado Stankovski, Peter Garraghan:
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges. Internet Things 8 (2019) - [j1]Shreshth Tuli, Md. Redowan Mahmud, Shikhar Tuli, Rajkumar Buyya:
FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing. J. Syst. Softw. 154: 22-36 (2019) - [c2]Shreshth Tuli, Shikhar Tuli, Udit Jain, Rajkumar Buyya:
APEX: Adaptive Ext4 File System for Enhanced Data Recoverability in Edge Devices. CloudCom 2019: 191-198 - [c1]Neetu Jindal, Sandeep Chandran, Preeti Ranjan Panda, Sanjiva Prasad, Abhay Mitra, Kunal Singhal, Shubham Gupta, Shikhar Tuli:
DHOOM: Reusing Design-for-Debug Hardware for Online Monitoring. DAC 2019: 99 - [i3]Shreshth Tuli, Shikhar Tuli, Udit Jain, Rajkumar Buyya:
APEX: Adaptive Ext4 File System for Enhanced Data Recoverability in Edge Devices. CoRR abs/1910.01642 (2019) - [i2]Sukhpal Singh Gill, Shreshth Tuli, Minxian Xu, Inderpreet Singh, Karan Vijay Singh, Dominic Lindsay, Shikhar Tuli, Daria Smirnova, Manmeet Singh, Udit Jain, Haris Pervaiz, Bhanu Sehgal, Sukhwinder Singh Kaila, Sanjay Misra, Mohammad Sadegh Aslanpour, Harshit Mehta, Vlado Stankovski, Peter Garraghan:
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges. CoRR abs/1911.01941 (2019) - 2018
- [i1]Shreshth Tuli, Md. Redowan Mahmud, Shikhar Tuli, Rajkumar Buyya:
FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing. CoRR abs/1811.11978 (2018)
Coauthor Index
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last updated on 2024-09-26 01:56 CEST by the dblp team
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