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Romil Bhardwaj
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2020 – today
- 2024
- [c13]Michael Luo, Siyuan Zhuang, Suryaprakash Vengadesan, Romil Bhardwaj, Justin Chang, Eric J. Friedman, Scott Shenker, Ion Stoica:
Starburst: A Cost-aware Scheduler for Hybrid Cloud. USENIX ATC 2024: 37-57 - [i3]Ziming Mao, Tian Xia, Zhanghao Wu, Wei-Lin Chiang, Tyler Griggs, Romil Bhardwaj, Zongheng Yang, Scott Shenker, Ion Stoica:
SkyServe: Serving AI Models across Regions and Clouds with Spot Instances. CoRR abs/2411.01438 (2024) - 2023
- [b1]Romil Bhardwaj:
Efficient Resource Management for Machine Learning. University of California, Berkeley, USA, 2023 - [c12]Zongheng Yang, Zhanghao Wu, Michael Luo, Wei-Lin Chiang, Romil Bhardwaj, Woosuk Kwon, Siyuan Zhuang, Frank Sifei Luan, Gautam Mittal, Scott Shenker, Ion Stoica:
SkyPilot: An Intercloud Broker for Sky Computing. NSDI 2023: 437-455 - [c11]Romil Bhardwaj, Kirthevasan Kandasamy, Asim Biswal, Wenshuo Guo, Benjamin Hindman, Joseph Gonzalez, Michael I. Jordan, Ion Stoica:
Cilantro: Performance-Aware Resource Allocation for General Objectives via Online Feedback. OSDI 2023: 623-643 - 2022
- [c10]Romil Bhardwaj, Alexey Tumanov, Stephanie Wang, Richard Liaw, Philipp Moritz, Robert Nishihara, Ion Stoica:
ESCHER: expressive scheduling with ephemeral resources. SoCC 2022: 47-62 - [c9]Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Paramvir Bahl, Ion Stoica:
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers. NSDI 2022: 119-135 - 2021
- [c8]Ujval Misra, Richard Liaw, Lisa Dunlap, Romil Bhardwaj, Kirthevasan Kandasamy, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov:
RubberBand: cloud-based hyperparameter tuning. EuroSys 2021: 327-342 - 2020
- [i2]Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph Gonzalez, Ion Stoica, Alexey Tumanov:
HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline. CoRR abs/2001.02338 (2020) - [i1]Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica:
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers. CoRR abs/2012.10557 (2020)
2010 – 2019
- 2019
- [c7]Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov:
HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline. SoCC 2019: 61-73 - 2018
- [j1]Romil Bhardwaj, Gopi Krishna Tummala, Ganesan Ramalingam, Ramachandran Ramjee, Prasun Sinha:
AutoCalib: Automatic Traffic Camera Calibration at Scale. ACM Trans. Sens. Networks 14(3-4): 19:1-19:27 (2018) - [c6]Wencong Xiao, Romil Bhardwaj, Ramachandran Ramjee, Muthian Sivathanu, Nipun Kwatra, Zhenhua Han, Pratyush Patel, Xuan Peng, Hanyu Zhao, Quanlu Zhang, Fan Yang, Lidong Zhou:
Gandiva: Introspective Cluster Scheduling for Deep Learning. OSDI 2018: 595-610 - 2017
- [c5]Romil Bhardwaj, Krishna Chintalapudi, Ramachandran Ramjee:
Skip-Correlation for Multi-Power Wireless Carrier Sensing. NSDI 2017: 227-242 - [c4]Romil Bhardwaj, Gopi Krishna Tummala, Ganesan Ramalingam, Ramachandran Ramjee, Prasun Sinha:
Autocalib: automatic traffic camera calibration at scale. BuildSys 2017: 14:1-14:10 - [c3]Romil Bhardwaj, Gopi Krishna Tummala, Ganesan Ramalingam, Ramachandran Ramjee, Prasun Sinha:
Autocalib: automatic traffic camera calibration at scale. BuildSys 2017: 31:1-31:2 - 2015
- [c2]Romil Bhardwaj, Gaurav Goswami, Richa Singh, Mayank Vatsa:
Harnessing social context for improved face recognition. ICB 2015: 121-126 - 2014
- [c1]Gaurav Goswami, Romil Bhardwaj, Richa Singh, Mayank Vatsa:
MDLFace: Memorability augmented deep learning for video face recognition. IJCB 2014: 1-7
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