Shikhar Tuli

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Efficient Inference

Design Space Exploration

Neural Architecture

Top Venues

Internet Things

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

ACM Trans. Embed. Comput. Syst.

Publications

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) (2024)
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 (2024)
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)
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) (2023)
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) (2023)
Shikhar Tuli, Niraj K. Jha
EdgeTran: Co-designing Transformers for Efficient Inference on Mobile Edge Platforms. CoRR (2023)
Shikhar Tuli, Niraj K. Jha
TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference. CoRR (2023)
Shikhar Tuli, Bhishma Dedhia, Shreshth Tuli, Niraj K. Jha
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid? J. Artif. Intell. Res. 77 (2023)
Shikhar Tuli, Niraj K. Jha
AccelTran: A Sparsity-Aware Accelerator for Dynamic Inference with Transformers. CoRR (2023)
Shikhar Tuli, Niraj K. Jha
BREATHE: Second-Order Gradients and Heteroscedastic Emulation based Design Space Exploration. CoRR (2023)
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) (2023)
Shikhar Tuli, Bhishma Dedhia, Shreshth Tuli, Niraj K. Jha
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid? CoRR (2022)
Shikhar Tuli, Chia-Hao Li, Ritvik Sharma, Niraj K. Jha
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework. CoRR (2022)
Shreshth Tuli, Shikhar Tuli, Giuliano Casale, Nicholas R. Jennings
Generative Optimization Networks for Memory Efficient Data Generation. CoRR (2021)
Shikhar Tuli, Ishita Dasgupta, Erin Grant, Thomas L. Griffiths
Are Convolutional Neural Networks or Transformers more like human vision? CoRR (2021)
Shikhar Tuli, Ishita Dasgupta, Erin Grant, Tom Griffiths
Are Convolutional Neural Networks or Transformers more like human vision? CogSci (2021)
Shikhar Tuli, Shreshth Tuli
AVAC: A Machine Learning Based Adaptive RRAM Variability-Aware Controller for Edge Devices. ISCAS (2020)
Shikhar Tuli, Debanjan Bhowmik
Design of a Conventional-Transistor-Based Analog Integrated Circuit for On-Chip Learning in a Spiking Neural Network. ICONS (2020)
Shikhar Tuli, Marco Rios, Alexandre Levisse, David Atienza
RRAM-VAC: A Variability-Aware Controller for RRAM-based Memory Architectures. ASP-DAC (2020)
Shikhar Tuli, Shreshth Tuli
AVAC: A Machine Learning based Adaptive RRAM Variability-Aware Controller for Edge Devices. CoRR (2020)
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)
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 (2020)
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)
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)
Shreshth Tuli, Shikhar Tuli, Udit Jain, Rajkumar Buyya
APEX: Adaptive Ext4 File System for Enhanced Data Recoverability in Edge Devices. CloudCom (2019)
Shreshth Tuli, Md. Redowan Mahmud, Shikhar Tuli, Rajkumar Buyya
FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing. J. Syst. Softw. 154 (2019)
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 (2019)
Shreshth Tuli, Shikhar Tuli, Udit Jain, Rajkumar Buyya
APEX: Adaptive Ext4 File System for Enhanced Data Recoverability in Edge Devices. CoRR (2019)
Shreshth Tuli, Md. Redowan Mahmud, Shikhar Tuli, Rajkumar Buyya
FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing. CoRR (2018)