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Journal Articles
- 2020
[j1]Fan Fred Lin, Keyur Muzumdar, Nikolay Pavlovich Laptev, Mihai-Valentin Curelea, Seunghak Lee, Sriram Sankar:
Fast Dimensional Analysis for Root Cause Investigation in a Large-Scale Service Environment. Proc. ACM Meas. Anal. Comput. Syst. 4(2): 31:1-31:23 (2020)
Conference and Workshop Papers
- 2024
- [c7]Dongning Ma
, Fan Fred Lin, Alban Desmaison, Joel Coburn, Daniel Moore, Sriram Sankar, Xun Jiao:
Dr. DNA: Combating Silent Data Corruptions in Deep Learning using Distribution of Neuron Activations. ASPLOS (3) 2024: 239-252 - 2023
- [c6]Xun Jiao, Fan Fred Lin, Matt Xiao, Alban Desmaison, Daniel Moore, Sriram Sankar:
Brief Industry Paper: Evaluating Robustness of Deep Learning-Based Recommendation Systems Against Hardware Errors: A Case Study. RTSS 2023: 468-472 - 2021
- [c5]Fan Fred Lin, Bhargav Bolla, Eric Pinkham, Neil Kodner, Daniel Moore, Amol Desai, Sriram Sankar:
Near-Realtime Server Reboot Monitoring and Root Cause Analysis in a Large-Scale System. DSN (Supplements) 2021: 37-40 - 2020
- [c4]Fan Fred Lin, Antonio Davoli, Imran Akbar, Sukumar Kalmanje, Leandro Silva, John Stamford, Yanai Golany, Jim Piazza, Sriram Sankar:
Predicting Remediations for Hardware Failures in Large-Scale Datacenters. DSN (Supplements) 2020: 13-16 - [c3]Fan Fred Lin, Keyur Muzumdar, Nikolay Pavlovich Laptev, Mihai-Valentin Curelea, Seunghak Lee, Sriram Sankar:
Fast Dimensional Analysis for Root Cause Investigation in a Large-Scale Service Environment. SIGMETRICS (Abstracts) 2020: 25-26 - [c2]Harish Dattatraya Dixit, Fan Fred Lin, Bill Holland, Matt Beadon, Zhengyu Yang, Sriram Sankar:
Optimizing Interrupt Handling Performance for Memory Failures in Large Scale Data Centers. ICPE 2020: 193-201 - 2018
- [c1]Fan Fred Lin, Matt Beadon, Harish Dattatraya Dixit, Gautham Vunnam, Amol Desai, Sriram Sankar:
Hardware Remediation at Scale. DSN Workshops 2018: 14-17
Informal and Other Publications
- 2024
- [i4]Xun Jiao, Fan Fred Lin, Harish Dattatraya Dixit, Joel Coburn, Abhinav Pandey, Han Wang, Venkat Ramesh, Jianyu Huang, Wang Xu, Daniel Moore, Sriram Sankar:
PVF (Parameter Vulnerability Factor): A Quantitative Metric Measuring AI Vulnerability Against Parameter Corruptions. CoRR abs/2405.01741 (2024) - 2023
- [i3]Dongning Ma, Xun Jiao, Fan Fred Lin, Mengshi Zhang, Alban Desmaison, Thomas Sellinger, Daniel Moore, Sriram Sankar:
Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors. CoRR abs/2307.10244 (2023) - 2022
- [i2]Xun Jiao, Ruixuan Wang, Fan Fred Lin, Daniel Moore, Sriram Sankar:
Assessing and Analyzing the Resilience of Graph Neural Networks Against Hardware Faults. CoRR abs/2212.03475 (2022) - 2019
- [i1]Fan Fred Lin, Keyur Muzumdar, Nikolay Pavlovich Laptev, Mihai-Valentin Curelea, Seunghak Lee, Sriram Sankar:
Fast Dimensional Analysis for Root Cause Investigation in Large-Scale Service Environment. CoRR abs/1911.01225 (2019)
Coauthor Index
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