Fan Fred Lin

15 papers A 3B 1Journal 5Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A conf
CP-Bench: A PyTorch Test Suite to Detect AI Hardware Failure, Performance Degradation, and Silent Data Corruption.
ITC
Xun Jiao, Sunny Yang, Suman Gumudavelli, Shreya Varshini, Abhinav Pandey, Abhinav Jauhri, Francesco Caggioni, Gautham Vunnam, Harish Dattatraya Dixit, Jason Liang, Philip Henzler, Sameeksha Gupta, Tyler Graf, Venkat Ramesh, Fan Fred Lin
2025 — conf
Large-Scale AI Infra Reliability: Challenges, Strategies, and Llama 3 Training Experience.
DSN-S
Xun Jiao, Abhinav Pandey, Karthik Pattabiraman, Fan Fred Lin
2025 A conf
Understanding Recommendation System Robustness Against Silent Data Corruption: An Empirical Study.
ISSRE
Dongning Ma, Xun Jiao, Fan Fred Lin, Daniel Moore, Sriram Sankar
2024 — conf
Dr. DNA: Combating Silent Data Corruptions in Deep Learning using Distribution of Neuron Activations.
ASPLOS (3)
Dongning Ma, Fan Fred Lin, Alban Desmaison, Joel Coburn, Daniel Moore, Sriram Sankar, Xun Jiao
2024 J jnl
PVF (Parameter Vulnerability Factor): A Quantitative Metric Measuring AI Vulnerability Against Parameter Corruptions.
CoRR
Xun Jiao, Fan Fred Lin, Harish Dattatraya Dixit, Joel Coburn, Abhinav Pandey, Han Wang, Venkat Ramesh, Jianyu Huang, Wang Xu, Daniel Moore, Sriram Sankar
2023 A conf
Brief Industry Paper: Evaluating Robustness of Deep Learning-Based Recommendation Systems Against Hardware Errors: A Case Study.
RTSS
Xun Jiao, Fan Fred Lin, Matt Xiao, Alban Desmaison, Daniel Moore, Sriram Sankar
2023 J jnl
Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors.
CoRR
Dongning Ma, Xun Jiao, Fan Fred Lin, Mengshi Zhang, Alban Desmaison, Thomas Sellinger, Daniel Moore, Sriram Sankar
2022 J jnl
Assessing and Analyzing the Resilience of Graph Neural Networks Against Hardware Faults.
CoRR
Xun Jiao, Ruixuan Wang, Fan Fred Lin, Daniel Moore, Sriram Sankar
2021 — conf
Near-Realtime Server Reboot Monitoring and Root Cause Analysis in a Large-Scale System.
DSN (Supplements)
Fan Fred Lin, Bhargav Bolla, Eric Pinkham, Neil Kodner, Daniel Moore, Amol Desai, Sriram Sankar
2020 — conf
Fast Dimensional Analysis for Root Cause Investigation in a Large-Scale Service Environment.
SIGMETRICS (Abstracts)
Fan Fred Lin, Keyur Muzumdar, Nikolay Pavlovich Laptev, Mihai-Valentin Curelea, Seunghak Lee, Sriram Sankar
2020 J jnl
Fast Dimensional Analysis for Root Cause Investigation in a Large-Scale Service Environment.
Proc. ACM Meas. Anal. Comput. Syst.
Fan Fred Lin, Keyur Muzumdar, Nikolay Pavlovich Laptev, Mihai-Valentin Curelea, Seunghak Lee, Sriram Sankar
2020 B conf
Optimizing Interrupt Handling Performance for Memory Failures in Large Scale Data Centers.
ICPE
Harish Dattatraya Dixit, Fan Fred Lin, Bill Holland, Matt Beadon, Zhengyu Yang, Sriram Sankar
2020 — conf
Predicting Remediations for Hardware Failures in Large-Scale Datacenters.
DSN (Supplements)
Fan Fred Lin, Antonio Davoli, Imran Akbar, Sukumar Kalmanje, Leandro Silva, John Stamford, Yanai Golany, Jim Piazza, Sriram Sankar
2019 J jnl
Fast Dimensional Analysis for Root Cause Investigation in Large-Scale Service Environment.
CoRR
Fan Fred Lin, Keyur Muzumdar, Nikolay Pavlovich Laptev, Mihai-Valentin Curelea, Seunghak Lee, Sriram Sankar
2018 — conf
Hardware Remediation at Scale.
DSN Workshops
Fan Fred Lin, Matt Beadon, Harish Dattatraya Dixit, Gautham Vunnam, Amol Desai, Sriram Sankar