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2020 – today
- 2024
[c18]Zishen Wan
, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Kshitij Bhardwaj, Vijay Janapa Reddi, Arijit Raychowdhury:
MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems. ASPLOS (2) 2024: 746-762- [c17]Mattia Vezzoli, Lukas Nel, Kshitij Bhardwaj, Rajit Manohar, Maya B. Gokhale:
Designing an Energy-Efficient Fully-Asynchronous Deep Learning Convolution Engine. DATE 2024: 1-2 - [i9]Kshitij Bhardwaj:
PQV-Mobile: A Combined Pruning and Quantization Toolkit to Optimize Vision Transformers for Mobile Applications. CoRR abs/2408.08437 (2024) - 2023
- [c16]Kshitij Bhardwaj, Zishen Wan, Arijit Raychowdhury, Ryan A. Goldhahn:
Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving. DATE 2023: 1-2 - [i8]Kshitij Bhardwaj, Zishen Wan, Arijit Raychowdhury, Ryan A. Goldhahn:
Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving. CoRR abs/2306.16660 (2023) - [i7]Antonios Alexos, Junze Liu, Akash Tiwari, Kshitij Bhardwaj, Sean Hayes, Pierre Baldi, Satish T. S. Bukkapatnam, Suhas Bhandarkar:
Machine Learning-Enhanced Prediction of Surface Smoothness for Inertial Confinement Fusion Target Polishing Using Limited Data. CoRR abs/2312.10553 (2023) - [i6]Edoardo Debenedetti, Zishen Wan, Maksym Andriushchenko, Vikash Sehwag, Kshitij Bhardwaj, Bhavya Kailkhura:
Scaling Compute Is Not All You Need for Adversarial Robustness. CoRR abs/2312.13131 (2023) - 2022
- [c15]Davide Bertozzi, Kshitij Bhardwaj, Steven M. Nowick:
An Asynchronous Soft Macro for Ultra-Low Power Communication in Neuromorphic Computing. AICAS 2022: 178-181 - [c14]Kshitij Bhardwaj, James Diffenderfer, Bhavya Kailkhura, Maya B. Gokhale:
Unsupervised Test-Time Adaptation of Deep Neural Networks at the Edge: A Case Study. DATE 2022: 412-417 - [c13]Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Ninad Jadhav, Aleksandra Faust, Vijay Janapa Reddi:
Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles. ISPASS 2022: 162-174 - [c12]Kshitij Bhardwaj, James Diffenderfer, Bhavya Kailkhura, Maya B. Gokhale:
Benchmarking Test-Time Unsupervised Deep Neural Network Adaptation on Edge Devices. ISPASS 2022: 236-238 - [c11]Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi:
Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles. MICRO 2022: 300-317 - [i5]Kshitij Bhardwaj, James Diffenderfer, Bhavya Kailkhura, Maya B. Gokhale:
Benchmarking Test-Time Unsupervised Deep Neural Network Adaptation on Edge Devices. CoRR abs/2203.11295 (2022) - [i4]Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Ninad Jadhav, Aleksandra Faust, Vijay Janapa Reddi:
Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles. CoRR abs/2204.10898 (2022) - 2021
- [j6]Davide Bertozzi, Gabriele Miorandi, Alberto Ghiribaldi, Wayne P. Burleson, Greg Sadowski, Kshitij Bhardwaj, Weiwei Jiang, Steven M. Nowick:
Cost-Effective and Flexible Asynchronous Interconnect Technology for GALS Systems. IEEE Micro 41(1): 69-81 (2021) - [c10]Saksham Sharma, Vanshika V. Bhargava, Aditya Kumar Singh, Kshitij Bhardwaj, Sparsh Mittal:
Leveraging Prediction Confidence For Versatile Optimizations to CNNs. AIMLSystems 2021: 2:1-2:7 - [i3]Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi:
Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots. CoRR abs/2102.02988 (2021) - [i2]Kshitij Bhardwaj, Maya B. Gokhale:
Semi-supervised on-device neural network adaptation for remote and portable laser-induced breakdown spectroscopy. CoRR abs/2104.03439 (2021) - 2020
- [j5]Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi:
The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines. IEEE Comput. Archit. Lett. 19(1): 38-42 (2020) - [j4]Sam Likun Xi, Yuan Yao, Kshitij Bhardwaj, Paul N. Whatmough, Gu-Yeon Wei, David Brooks:
SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads. ACM Trans. Archit. Code Optim. 17(4): 39:1-39:26 (2020) - [c9]Kshitij Bhardwaj, Marton Havasi, Yuan Yao, David M. Brooks, José Miguel Hernández-Lobato, Gu-Yeon Wei:
A comprehensive methodology to determine optimal coherence interfaces for many-accelerator SoCs. ISLPED 2020: 145-150
2010 – 2019
- 2019
- [j3]Kshitij Bhardwaj, Marton Havasi, Yuan Yao, David M. Brooks, José Miguel Hernández-Lobato, Gu-Yeon Wei:
Determining Optimal Coherency Interface for Many-Accelerator SoCs Using Bayesian Optimization. IEEE Comput. Archit. Lett. 18(2): 119-123 (2019) - [j2]Kshitij Bhardwaj, Steven M. Nowick:
A Continuous-Time Replication Strategy for Efficient Multicast in Asynchronous NoCs. IEEE Trans. Very Large Scale Integr. Syst. 27(2): 350-363 (2019) - [c8]Kshitij Bhardwaj, Paolo Mantovani, Luca P. Carloni, Steven M. Nowick:
Towards a Complete Methodology for Synthesizing Bundled-Data Asynchronous Circuits on FPGAs. ISLPED 2019: 1-6 - [i1]Sam Likun Xi, Yuan Yao, Kshitij Bhardwaj, Paul N. Whatmough, Gu-Yeon Wei, David Brooks:
SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads. CoRR abs/1912.04481 (2019) - 2018
- [b1]Kshitij Bhardwaj:
On Multicast in Asynchronous Networks-on-Chip: Techniques, Architectures, and FPGA Implementation. Columbia University, USA, 2018 - 2017
- [c7]Kshitij Bhardwaj, Weiwei Jiang, Steven M. Nowick:
Achieving Lightweight Multicast in Asynchronous NoCs Using a Continuous-Time Multi-Way Read Buffer. NOCS 2017: 6:1-6:8 - 2016
- [c6]Kshitij Bhardwaj, Steven M. Nowick:
Achieving lightweight multicast in asynchronous networks-on-chip using local speculation. DAC 2016: 38:1-38:6 - 2015
- [j1]Dean Michael Ancajas, Kshitij Bhardwaj, Koushik Chakraborty, Sanghamitra Roy:
Wearout Resilience in NoCs Through an Aging Aware Adaptive Routing Algorithm. IEEE Trans. Very Large Scale Integr. Syst. 23(2): 369-373 (2015) - [c5]Weiwei Jiang, Kshitij Bhardwaj, Geoffray Lacourba, Steven M. Nowick:
A Lightweight Early Arbitration Method for Low-Latency Asynchronous 2D-Mesh NoC's. DAC 2015: 203:1-203:6 - 2012
- [c4]Kshitij Bhardwaj, Koushik Chakraborty, Sanghamitra Roy:
Towards graceful aging degradation in NoCs through an adaptive routing algorithm. DAC 2012: 382-391 - [c3]Kshitij Bhardwaj, Koushik Chakraborty, Sanghamitra Roy:
An MILP-based aging-aware routing algorithm for NoCs. DATE 2012: 326-331 - [c2]Kshitij Bhardwaj, Sanghamitra Roy, Koushik Chakraborty:
Power-Performance Yield optimization for MPSoCs using MILP. ISQED 2012: 764-771
2000 – 2009
- 2009
- [c1]Kshitij Bhardwaj, Rabindra Ku Jena:
Energy and bandwidth aware mapping of IPs onto regular NoC architectures using Multi-Objective Genetic Algorithms. SoC 2009: 27-31
Coauthor Index
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