Energy and bandwidth aware mapping of IPs onto regular NoC architectures using Multi-Objective Genetic Algorithms. - Kshitij Bhardwaj; Rabindra Ku Jena (SoC, 2009)

Towards graceful aging degradation in NoCs through an adaptive routing algorithm. - Kshitij Bhardwaj; Koushik Chakraborty; Sanghamitra Roy (DAC, 2012)

An MILP-based aging-aware routing algorithm for NoCs. - Kshitij Bhardwaj; Koushik Chakraborty; Sanghamitra Roy (DATE, 2012)

Power-Performance Yield optimization for MPSoCs using MILP. - Kshitij Bhardwaj; Sanghamitra Roy; Koushik Chakraborty (ISQED, 2012)

A Lightweight Early Arbitration Method for Low-Latency Asynchronous 2D-Mesh NoC's. - Weiwei Jiang 002; Kshitij Bhardwaj; Geoffray Lacourba; Steven M. Nowick (DAC, 2015)

Wearout Resilience in NoCs Through an Aging Aware Adaptive Routing Algorithm. - Dean Michael Ancajas; Kshitij Bhardwaj; Koushik Chakraborty; Sanghamitra Roy (IEEE Trans. Very Large Scale Integr. Syst., 2015)

Achieving lightweight multicast in asynchronous networks-on-chip using local speculation. - Kshitij Bhardwaj; Steven M. Nowick (DAC, 2016)

Achieving Lightweight Multicast in Asynchronous NoCs Using a Continuous-Time Multi-Way Read Buffer. - Kshitij Bhardwaj; Weiwei Jiang 002; Steven M. Nowick (NOCS, 2017)

On Multicast in Asynchronous Networks-on-Chip: Techniques, Architectures, and FPGA Implementation. - Kshitij Bhardwaj (2018)

Towards a Complete Methodology for Synthesizing Bundled-Data Asynchronous Circuits on FPGAs. - Kshitij Bhardwaj; Paolo Mantovani; Luca P. Carloni; Steven M. Nowick (ISLPED, 2019)

Determining Optimal Coherency Interface for Many-Accelerator SoCs Using Bayesian Optimization. - Kshitij Bhardwaj; Marton Havasi; Yuan Yao 006; David M. Brooks; José Miguel Hernández-Lobato; Gu-Yeon Wei (IEEE Comput. Archit. Lett., 2019)

A Continuous-Time Replication Strategy for Efficient Multicast in Asynchronous NoCs. - Kshitij Bhardwaj; Steven M. Nowick (IEEE Trans. Very Large Scale Integr. Syst., 2019)

A comprehensive methodology to determine optimal coherence interfaces for many-accelerator SoCs. - Kshitij Bhardwaj; Marton Havasi; Yuan Yao 006; David M. Brooks; José Miguel Hernández-Lobato; Gu-Yeon Wei (ISLPED, 2020)

The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines. - Srivatsan Krishnan; Zishen Wan; Kshitij Bhardwaj; Paul N. Whatmough; Aleksandra Faust; Gu-Yeon Wei; David Brooks 001; Vijay Janapa Reddi (IEEE Comput. Archit. Lett., 2020)

SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads. - Sam Likun Xi; Yuan Yao 006; Kshitij Bhardwaj; Paul N. Whatmough; Gu-Yeon Wei; David Brooks 001 (ACM Trans. Archit. Code Optim., 2020)

Leveraging Prediction Confidence For Versatile Optimizations to CNNs. - Saksham Sharma; Vanshika V. Bhargava; Aditya Kumar Singh; Kshitij Bhardwaj; Sparsh Mittal (AIMLSystems, 2021)

Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots. - Srivatsan Krishnan; Zishen Wan; Kshitij Bhardwaj; Paul N. Whatmough; Aleksandra Faust; Sabrina M. Neuman; Gu-Yeon Wei; David Brooks 001; Vijay Janapa Reddi (CoRR, 2021)

Semi-supervised on-device neural network adaptation for remote and portable laser-induced breakdown spectroscopy. - Kshitij Bhardwaj; Maya B. Gokhale (CoRR, 2021)

Cost-Effective and Flexible Asynchronous Interconnect Technology for GALS Systems. - Davide Bertozzi; Gabriele Miorandi; Alberto Ghiribaldi; Wayne P. Burleson; Greg Sadowski; Kshitij Bhardwaj; Weiwei Jiang 002; Steven M. Nowick (IEEE Micro, 2021)

An Asynchronous Soft Macro for Ultra-Low Power Communication in Neuromorphic Computing. - Davide Bertozzi; Kshitij Bhardwaj; Steven M. Nowick (AICAS, 2022)

Unsupervised Test-Time Adaptation of Deep Neural Networks at the Edge: A Case Study. - Kshitij Bhardwaj; James Diffenderfer; Bhavya Kailkhura; Maya B. Gokhale (DATE, 2022)

Benchmarking Test-Time Unsupervised Deep Neural Network Adaptation on Edge Devices. - Kshitij Bhardwaj; James Diffenderfer; Bhavya Kailkhura; Maya B. Gokhale (ISPASS, 2022)

Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles. - Srivatsan Krishnan; Zishen Wan; Kshitij Bhardwaj; Ninad Jadhav; Aleksandra Faust; Vijay Janapa Reddi (ISPASS, 2022)

Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles. - Srivatsan Krishnan; Zishen Wan; Kshitij Bhardwaj; Paul N. Whatmough; Aleksandra Faust; Sabrina M. Neuman; Gu-Yeon Wei; David Brooks 001; Vijay Janapa Reddi (MICRO, 2022)

Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving. - Kshitij Bhardwaj; Zishen Wan; Arijit Raychowdhury; Ryan A. Goldhahn (DATE, 2023)

Machine Learning-Enhanced Prediction of Surface Smoothness for Inertial Confinement Fusion Target Polishing Using Limited Data. - Antonios Alexos; Junze Liu; Akash Tiwari; Kshitij Bhardwaj; Sean Hayes; Pierre Baldi; Satish T. S. Bukkapatnam; Suhas Bhandarkar (CoRR, 2023)

Scaling Compute Is Not All You Need for Adversarial Robustness. - Edoardo Debenedetti; Zishen Wan; Maksym Andriushchenko; Vikash Sehwag; Kshitij Bhardwaj; Bhavya Kailkhura (CoRR, 2023)

MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems. - Zishen Wan; Nandhini Chandramoorthy; Karthik Swaminathan; Pin-Yu Chen; Kshitij Bhardwaj; Vijay Janapa Reddi; Arijit Raychowdhury (ASPLOS (2), 2024)

Designing an Energy-Efficient Fully-Asynchronous Deep Learning Convolution Engine. - Mattia Vezzoli; Lukas Nel; Kshitij Bhardwaj; Rajit Manohar; Maya B. Gokhale (DATE, 2024)

Nuclear Fusion Diamond Polishing Dataset. - Antonios Alexos; Junze Liu; Shashank Galla; Sean Hayes; Kshitij Bhardwaj; Alexander Schwartz; Monika Biener; Pierre Baldi; Satish T. S. Bukkapatnam; Suhas Bhandarkar (NeurIPS, 2024)

PQV-Mobile: A Combined Pruning and Quantization Toolkit to Optimize Vision Transformers for Mobile Applications. - Kshitij Bhardwaj (CoRR, 2024)