Tag Archives: reliability

A Tale of Two Injectors: End-to-End Comparison of IR-level and Assembly-Level Fault Injection

Lucas Palazzi, Guanpeng Li, Bo Fang, and Karthik Pattabiraman, IEEE International Symposium on Software Reliability Engineering (ISSRE), 2019. (Acceptance Rate: 31.4%) [ PDF | Talk ] (code)
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BinFI: An Efficient Fault Injector for Safety-Critical Machine Learning Systems

Zitao Chen, Guanpeng Li, Karthik Pattabiraman, and Nathan DeBardeleben, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2019. (Acceptance Rate: 21%) [ PDF | Talk ] ( Code )
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BonVoision: Leveraging Spatial Data Smoothness for Recovery from Memory Soft Errors

Bo Fang, Hassan Halawa, Karthik Pattabiraman, Matei Ripeanu and Sriram Krishnamurthy, , Proceedings of the ACM International Conference on Supercomputing (ICS), 2019. (Acceptance Rate: 23.2 %). [ PDF | Talk ]
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Failure Prediction in the Internet of Things due to Memory Exhaustion

Mohammad Rafiuzzaman, Julien Gascon-Samson, Karthik Pattabiraman, and Sathish Gopalakrishnan, Proceedings of the ACM/SIGAPP International Conference on Applied Computing (SAC), 2019. Dependable, Adaptive, Distributed Systems (DADS) Track. (Acceptance Rate: 27.5%) [ PDF | Talk ]
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TensorFI: A Configurable Fault Injector for TensorFlow Applications

Guanpeng Li, Karthik Pattabiraman, and Nathan DeBardeleben, Workshop on Software Certification (WoSoCER), 2018, co-located with the IEEE International Symposium on Software Reliability Engineering (ISSRE). 2018. [ PDF | Talk Slides ] (Code)
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ThingsMigrate: Platform-Independent Migration of Stateful JavaScript IoT Applications

Julien Gascon-Samson, Kumseok Jung, Shivanshu Goyal, Armin Rezalean-Asel, Karthik Pattabiraman, European Conference on Object Oriented Programming (ECOOP), 2018. (Acceptance Rate: 39%). [ PDF | Talk | Poster ] (Code)
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Modeling Soft-Error Propagation in Programs

Guanpeng Li, Karthik Pattabiraman, Siva Kumar Sastry Hari, Michael Sullivan, and Timothy Tsai. IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2018. (Acceptance Rate for Regular Papers: 25%) [ PDF | Talk ] (Link to Code) (Best Paper Runner up)
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Modeling Input Dependent Error Propagation in Programs

Guanpeng Li and Karthik Pattabiraman, IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2018. (Acceptance Rate for Regular Papers: 25%) [PDF | Talk] (Link to Code)
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Detecting Unknown Inconsistencies in Web Applications

Frolin Ocariza, Karthik Pattabiraman, and Ali Mesbah, IEEE/ACM International Conference onAutomated Software Engineering (ASE), 2017. (Acceptance Rate: 21%) [ PDF | Talk ]
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Understanding Error Propagation in Deep-Learning Neural Networks (DNN) Accelerators and Applications

Guanpeng Li, Siva Hari, Michael Sullivan, Timothy Tsai, Karthik Pattabiraman, Joel Emer, Stephen Keckler, International Conference for High-Performance Computing, Networking, Storage and Analysis (SC), 2017. (Acceptance Rate: 19%) [PDF | Talk] (Injector code)
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