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ORCIDMuthian Sivathanu
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- affiliation: University of Wisconsin-Madison, Madison, USA
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2020 – today
- 2024
[c17]Tanmaey Gupta
, Sanjeev Krishnan, Rituraj Kumar, Abhishek Vijeev, Bhargav S. Gulavani, Nipun Kwatra, Ramachandran Ramjee, Muthian Sivathanu:
Just-In-Time Checkpointing: Low Cost Error Recovery from Deep Learning Training Failures. EuroSys 2024: 1110-1125- [i6]Rohit Dwivedula, Sriram Sridhar, Sambhav Satija, Muthian Sivathanu, Nishanth Chandran, Divya Gupta, Satya Lokam:
TrustRate: A Decentralized Platform for Hijack-Resistant Anonymous Reviews. CoRR abs/2402.18386 (2024) - 2023
- [j4]Nikhil Iyer, V. Thejas, Nipun Kwatra, Ramachandran Ramjee, Muthian Sivathanu:
Wide-minima Density Hypothesis and the Explore-Exploit Learning Rate Schedule. J. Mach. Learn. Res. 24: 65:1-65:37 (2023) - 2022
- [c16]Sanjith Athlur, Nitika Saran, Muthian Sivathanu, Ramachandran Ramjee, Nipun Kwatra:
Varuna: scalable, low-cost training of massive deep learning models. EuroSys 2022: 472-487 - [i5]Dharma Shukla, Muthian Sivathanu, Srinidhi Viswanatha, Bhargav S. Gulavani, Rimma Nehme, Amey Agrawal, Chen Chen, Nipun Kwatra, Ramachandran Ramjee, Pankaj Sharma, Atul Katiyar, Vipul Modi, Vaibhav Sharma, Abhishek Singh, Shreshth Singhal, Kaustubh Welankar, Lu Xun, Ravi Anupindi, Karthik Elangovan, Hasibur Rahman, Zhou Lin, Rahul Seetharaman, Cheng Xu, Eddie Ailijiang, Suresh Krishnappa, Mark Russinovich:
Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI Workloads. CoRR abs/2202.07848 (2022) - 2021
- [i4]Nikhil Iyer, V. Thejas, Nipun Kwatra, Ramachandran Ramjee, Muthian Sivathanu:
LRTuner: A Learning Rate Tuner for Deep Neural Networks. CoRR abs/2105.14526 (2021) - [i3]Sanjith Athlur, Nitika Saran, Muthian Sivathanu, Ramachandran Ramjee, Nipun Kwatra:
Varuna: Scalable, Low-cost Training of Massive Deep Learning Models. CoRR abs/2111.04007 (2021) - 2020
- [j3]Muthian Sivathanu, Midhul Vuppalapati, Bhargav S. Gulavani, Kaushik Rajan, Jyoti Leeka, Jayashree Mohan, Piyus Kedia:
INSTalytics: Cluster Filesystem Co-design for Big-data Analytics. ACM Trans. Storage 15(4): 23:1-23:30 (2020) - [c15]Shubham Chaudhary, Ramachandran Ramjee, Muthian Sivathanu, Nipun Kwatra, Srinidhi Viswanatha:
Balancing efficiency and fairness in heterogeneous GPU clusters for deep learning. EuroSys 2020: 1:1-1:16 - [c14]Abhishek Vijaya Kumar, Muthian Sivathanu:
Quiver: An Informed Storage Cache for Deep Learning. FAST 2020: 283-296 - [c13]Divam Gupta, Ramachandran Ramjee, Nipun Kwatra, Muthian Sivathanu:
Unsupervised Clustering using Pseudo-semi-supervised Learning. ICLR 2020 - [c12]Sambhav Satija, Apurv Mehra, Sudheesh Singanamalla, Karan Grover, Muthian Sivathanu, Nishanth Chandran, Divya Gupta, Satya Lokam:
Blockene: A High-throughput Blockchain Over Mobile Devices. OSDI 2020: 567-582 - [i2]Nikhil Iyer, V. Thejas, Nipun Kwatra, Ramachandran Ramjee, Muthian Sivathanu:
Wide-minima Density Hypothesis and the Explore-Exploit Learning Rate Schedule. CoRR abs/2003.03977 (2020) - [i1]Sambhav Satija, Apurv Mehra, Sudheesh Singanamalla, Karan Grover, Muthian Sivathanu, Nishanth Chandran, Divya Gupta, Satya Lokam:
Blockene: A High-throughput Blockchain Over Mobile Devices. CoRR abs/2010.07277 (2020)
2010 – 2019
- 2019
- [c11]Muthian Sivathanu, Tapan Chugh, Sanjay S. Singapuram, Lidong Zhou:
Astra: Exploiting Predictability to Optimize Deep Learning. ASPLOS 2019: 909-923 - [c10]Muthian Sivathanu, Midhul Vuppalapati, Bhargav S. Gulavani, Kaushik Rajan, Jyoti Leeka, Jayashree Mohan, Piyus Kedia:
INSTalytics: Cluster Filesystem Co-design for Big-data Analytics. FAST 2019: 235-248 - 2018
- [c9]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
2000 – 2009
- 2006
- [j2]Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, Lakshmi N. Bairavasundaram, Timothy E. Denehy, Florentina I. Popovici, Vijayan Prabhakaran, Muthian Sivathanu:
Semantically-smart disk systems: past, present, and future. SIGMETRICS Perform. Evaluation Rev. 33(4): 29-35 (2006) - 2005
- [j1]Muthian Sivathanu, Vijayan Prabhakaran, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau:
Improving storage system availability with D-GRAID. ACM Trans. Storage 1(2): 133-170 (2005) - [c8]Muthian Sivathanu, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, Somesh Jha:
A Logic of File Systems. FAST 2005 - [c7]Muthian Sivathanu, Lakshmi N. Bairavasundaram, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau:
Database-Aware Semantically-Smart Storage. FAST 2005 - 2004
- [c6]Muthian Sivathanu, Vijayan Prabhakaran, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau:
Improving Storage System Availability with D-GRAID (Awarded Best Student Paper!). FAST 2004: 15-30 - [c5]Lakshmi N. Bairavasundaram, Muthian Sivathanu, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau:
X-RAY: A Non-Invasive Exclusive Caching Mechanism for RAIDs. ISCA 2004: 176-187 - [c4]Muthian Sivathanu, Lakshmi N. Bairavasundaram, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau:
Life or Death at Block-Level. OSDI 2004: 379-394 - 2003
- [c3]Muthian Sivathanu, Vijayan Prabhakaran, Florentina I. Popovici, Timothy E. Denehy, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau:
Semantically-Smart Disk Systems. FAST 2003 - 2002
- [c2]Muthian Sivathanu, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau:
Evolving RPC for active storage. ASPLOS 2002: 264-276 - 2001
- [c1]Muthian Sivathanu, Venkateshwaran Venkataramani, Remzi H. Arpaci-Dusseau:
Block Asynchronous I/O: A Flexible Infrastructure for User-Level Filesystems. HiPC 2001: 249-261
Coauthor Index
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