Publications

Better Call SoL: Enhancing GPUs with a Sea of LUTs Core

MICRO 2026 59th IEEE/ACM International Symposium on Microarchitecture (MICRO) 2026, Athens, Greece.

Shashank Nag, Justin Garrigus, Yuting Chen, and Lizy K. John

From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips

TMLR Transactions on Machine Learning Research (TMLR)

Alan T. L. Bacellar, Sathvik Chemudupati, Shashank Nag, Allison Seigler, Priscila Machado Vieira Lima, Felipe M.G. França, and Lizy K. John

ET: An Energy Efficient Edge Transformer Architecture

TACO ACM Transactions on Architecture and Code Optimization (TACO)

Shashank Nag, Alan Bacellar, Anshul Jha, Eugene John, Krishnan Kailas, Priscila Lima, Neeraja Yadwadkar, Felipe França, and Lizy K. John

Arrhythmia Classification at the Edge Using a Weightless Neural Network Hardware Accelerator

ARC 2026 22nd International Symposium on Applied Reconfigurable Computing (ARC), Cagliari–Sardinia, Italy.

Anshul Jha, Shashank Nag, Igor D. S. Miranda, Felipe M. G. França, Lizy K. John, Priscila M. V. Lima, and Eugene B. John

HMix: An Efficient Hardware Accelerator for Quantized MLP-Mixer Inference

CF 2026 23rd ACM International Conference on Computing Frontiers (CF 2026), Catania, Sicily, Italy.

Dhananjay Rao Thallikar Shyam, Shashank Nag, and Lizy K. John

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

MLSys 2026 9th Annual Conference on Machine Learning and Systems (MLSys) 2026, Bellevue, WA.

Avinash Kumar, Shashank Nag, Jason Clemons, Lizy K. John, and Poulami Das

Differentiable Weightless Neural Networks for Differential Sensing

EdgeAI 2026 EdgeAI Research Symposium 2026, San Diego, CA.

Andrew Jacob, Richard Huang, Johnny Shen, Shashank Nag, Matthew Dixon, Praveen Prasupathy, Diana Zamora-Olivares, Eric V. Anslyn, and Lizy K. John

LL-ViT: Edge Deployable Vision Transformers with Look Up Table Neurons

FPT 2025 24th International Conference on Field Programmable Technology (FPT) 2025, Shanghai, China.

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

Hybrid Weightless Neural Networks for Efficient Edge Inference

FPL 2025 35th International Conference on Field-Programmable Logic and Applications (FPL) 2025, Leiden, Netherlands.

Mugdha Jadhao, Alan T.L. Bacellar, Shashank Nag, Igor D.S. Miranda, Felipe M.G. França, and Lizy K. John

nanoML for Human Activity Recognition

Edge AI 2025 Edge AI Symposium 2025, Austin, TX.

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

Lightweight Vision Transformers for Low Energy Edge Inference

MLArchSys 2024 ML for Computer Architecture and Systems (MLArchSys) Workshop 2024, co-located at ISCA 2024, Buenos Aires, Argentina.

Shashank Nag, Logan Liberty, Aishwarya Sivakumar, Neeraja J. Yadwadkar, and Lizy K. John

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

MWSCAS 2024 IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS) 2024, Springfield, MA.

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

ViTA: a Vision Transformer Inference Accelerator for Edge Applications

ISCAS 2023 IEEE International Symposium on Circuits and Systems (ISCAS) 2023, Monterey, CA.

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