Shikhar Tuli

According to our database, Shikhar Tuli authored at least 17 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

TransCODE: Co-Design of Transformers and Accelerators for Efficient Training and Inference.

Shikhar Tuli, Niraj K. Jha

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

AccelTran: A Sparsity-Aware Accelerator for Dynamic Inference With Transformers.

Shikhar Tuli, Niraj K. Jha

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework.

Shikhar Tuli, Chia-Hao Li, Ritvik Sharma, Niraj K. Jha

ACM Trans. Embed. Comput. Syst., 2023

FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?

Shikhar Tuli, Bhishma Dedhia, Shreshth Tuli, Niraj K. Jha

J. Artif. Intell. Res., 2023

BREATHE: Second-Order Gradients and Heteroscedastic Emulation based Design Space Exploration.

Shikhar Tuli, Niraj K. Jha

CoRR, 2023

EdgeTran: Co-designing Transformers for Efficient Inference on Mobile Edge Platforms.

Shikhar Tuli, Niraj K. Jha

CoRR, 2023

2021

Generative Optimization Networks for Memory Efficient Data Generation.

Shreshth Tuli, Shikhar Tuli, Giuliano Casale, Nicholas R. Jennings

CoRR, 2021

Are Convolutional Neural Networks or Transformers more like human vision?

Shikhar Tuli, Ishita Dasgupta, Erin Grant, Tom Griffiths

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Next generation technologies for smart healthcare: challenges, vision, model, trends and future directions.

Shreshth Tuli, Shikhar Tuli, Gurleen Wander, Praneet Wander, Sukhpal Singh Gill, Schahram Dustdar, Rizos Sakellariou, Omer F. Rana

Internet Technol. Lett., 2020

Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing.

Shreshth Tuli, Shikhar Tuli, Rakesh Tuli, Sukhpal Singh Gill

Internet Things, 2020

AVAC: A Machine Learning Based Adaptive RRAM Variability-Aware Controller for Edge Devices.

Shikhar Tuli, Shreshth Tuli

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Design of a Conventional-Transistor-Based Analog Integrated Circuit for On-Chip Learning in a Spiking Neural Network.

Shikhar Tuli, Debanjan Bhowmik

Proceedings of the International Conference on Neuromorphic Systems, 2020

RRAM-VAC: A Variability-Aware Controller for RRAM-based Memory Architectures.

Shikhar Tuli, Marco Rios, Alexandre Levisse, David Atienza

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019

FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing.

Shreshth Tuli, Md. Redowan Mahmud, Shikhar Tuli, Rajkumar Buyya

J. Syst. Softw., 2019

Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges.

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

Internet Things, 2019

DHOOM: Reusing Design-for-Debug Hardware for Online Monitoring.

Neetu Jindal, Sandeep Chandran, Preeti Ranjan Panda, Sanjiva Prasad, Abhay Mitra, Kunal Singhal, Shubham Gupta, Shikhar Tuli

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

APEX: Adaptive Ext4 File System for Enhanced Data Recoverability in Edge Devices.

Shreshth Tuli, Shikhar Tuli, Udit Jain, Rajkumar Buyya

Proceedings of the 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019