Shashank Nag

According to our database, Shashank Nag authored at least 5 papers between 2023 and 2025.

Collaborative distances:

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

2025

HELIOS: Adaptive Model And Early-Exit Selection for Efficient LLM Inference Serving.

Avinash Kumar, Shashank Nag, Jason Clemons, Lizy Kurian John, Poulami Das

CoRR, April, 2025

nanoML for Human Activity Recognition.

Alan T. L. Bacellar, Mugdha P. Jadhao, Shashank Nag, Priscila M. V. Lima, Felipe M. G. França, Lizy K. John

CoRR, February, 2025

2024

Shrinking the Giant : Quasi-Weightless Transformers for Low Energy Inference.

Shashank Nag, Alan T. L. Bacellar, Zachary Susskind, Anshul Jha, Logan Liberty, Aishwarya Sivakumar, Eugene B. John, Krishnan Kailas, Priscila M. V. Lima, Neeraja J. Yadwadkar, Felipe M. G. França, Lizy K. John

CoRR, 2024

LogicNets vs. ULEEN : Comparing two novel high throughput edge ML inference techniques on FPGA.

Shashank Nag, Zachary Susskind, Aman Arora, Alan T. L. Bacellar, Diego L. C. Dutra, Igor D. S. Miranda, Krishnan Kailas, Eugene B. John, Maurício Breternitz, Priscila M. V. Lima, Felipe M. G. França, Lizy K. John

Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

2023

ViTA: A Vision Transformer Inference Accelerator for Edge Applications.

Shashank Nag, Gourav Datta, Souvik Kundu, Nitin Chandrachoodan, Peter A. Beerel

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023