Fan Fred Lin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Top Venues

DSN (Supplements)

Publications

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)
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 (2024)
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 (2023)
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)
Xun Jiao, Ruixuan Wang, Fan Fred Lin, Daniel Moore, Sriram Sankar
Assessing and Analyzing the Resilience of Graph Neural Networks Against Hardware Faults. CoRR (2022)
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)
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)
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)
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)
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) (2020)
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 (2019)
Fan Fred Lin, Matt Beadon, Harish Dattatraya Dixit, Gautham Vunnam, Amol Desai, Sriram Sankar
Hardware Remediation at Scale. DSN Workshops (2018)