Fan Fred Lin

According to our database, Fan Fred Lin authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

PVF (Parameter Vulnerability Factor): A Quantitative Metric Measuring AI Vulnerability Against Parameter Corruptions.

Xun Jiao, Fan Fred Lin, Harish Dattatraya Dixit, Joel Coburn, Abhinav Pandey, Han Wang, Venkat Ramesh, Jianyu Huang, Wang Xu, Daniel Moore, Sriram Sankar

CoRR, 2024

Dr. DNA: Combating Silent Data Corruptions in Deep Learning using Distribution of Neuron Activations.

Dongning Ma, Fan Fred Lin, Alban Desmaison, Joel Coburn, Daniel Moore, Sriram Sankar, Xun Jiao

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors.

Dongning Ma, Xun Jiao, Fan Fred Lin, Mengshi Zhang, Alban Desmaison, Thomas Sellinger, Daniel Moore, Sriram Sankar

CoRR, 2023

Brief Industry Paper: Evaluating Robustness of Deep Learning-Based Recommendation Systems Against Hardware Errors: A Case Study.

Xun Jiao, Fan Fred Lin, Matt Xiao, Alban Desmaison, Daniel Moore, Sriram Sankar

Proceedings of the IEEE Real-Time Systems Symposium, 2023

2022

Assessing and Analyzing the Resilience of Graph Neural Networks Against Hardware Faults.

Xun Jiao, Ruixuan Wang, Fan Fred Lin, Daniel Moore, Sriram Sankar

CoRR, 2022

2021

Near-Realtime Server Reboot Monitoring and Root Cause Analysis in a Large-Scale System.

Fan Fred Lin, Bhargav Bolla, Eric Pinkham, Neil Kodner, Daniel Moore, Amol Desai, Sriram Sankar

Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021

2020

Fast Dimensional Analysis for Root Cause Investigation in a Large-Scale Service Environment.

Fan Fred Lin, Keyur Muzumdar, Nikolay Pavlovich Laptev, Mihai-Valentin Curelea, Seunghak Lee, Sriram Sankar

Proc. ACM Meas. Anal. Comput. Syst., 2020

Optimizing Interrupt Handling Performance for Memory Failures in Large Scale Data Centers.

Harish Dattatraya Dixit, Fan Fred Lin, Bill Holland, Matt Beadon, Zhengyu Yang, Sriram Sankar

Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 2020

Predicting Remediations for Hardware Failures in Large-Scale Datacenters.

Fan Fred Lin, Antonio Davoli, Imran Akbar, Sukumar Kalmanje, Leandro Silva, John Stamford, Yanai Golany, Jim Piazza, Sriram Sankar

Proceedings of the 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks, 2020

2018

Hardware Remediation at Scale.

Fan Fred Lin, Matt Beadon, Harish Dattatraya Dixit, Gautham Vunnam, Amol Desai, Sriram Sankar

Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2018