Publications (Google Scholar Profile)

Journal

[2] Improving the Accuracy of IR-level Fault Injection
Lucas Palazzi, Guanpeng Li, Bo Fang, and Karthik Pattabiraman
IEEE Transactions on Dependable and Secure Computing (TDSC) Accep date: Feburary 2020.

[1] A Systematic Methodology for Evaluating the Error Resilience of GPGPU Applications
Bo Fang, Karthik Pattabiraman, Matei Ripeanu, and Sudhanva Gurumurth.
IEEE Transactions on Parallel and Distributed Systems (TPDS) Accept date: December 2015.

Conference and others

[13] TensorFlowFI: A Flexible Fault Injection Framework for TensorFlow Applications
Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben
To appear at the IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020 (Acceptance Rate: 25.6%)

[12] Chaser: A Enhanced Fault Injection Tool for TracingSoft Errors in MPI Applications
Qiang Guan, Xunchao Hu,Terence Grove, Bo Fang, Hailong Jiang, Heng Yin, Nathen DeBardeleben
To appear at the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2020, tool track) (Acceptance Rate: 16.5%)

[11] 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
To appear at the IEEE International Symposium on Software Reliability Engineering (ISSRE), 2019 (Acceptance Rate: 31.4%)

[10] BonVoision: Leveraging Spatial Data Smoothness for Recovery from Memory Soft Errors
Bo Fang, Hassan Halawa, Karthik Pattabiraman, Matei Ripeanu, Sriram Krishnamoorthy
ACM International Conference on Supercomputing (ICS’2019) (acceptance rate 23%)

[9] Towards Predicting the Impact of Roll-Forward Failure Recovery for HPC Applications
Bo Fang, Jieyang Chen, Karthik Pattabiraman, Matei Ripeanu, Sriram Krishnamoorthy
the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2019), Fast abstract

[8] LetGo: A Lightweight Continuous Framework for HPC Applications upon Failures
Bo Fang, Qiang Guan, Nathan Debardeleben, Karthik Pattabiraman, Matei Ripeanu
The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) June 2017 (acceptance rate 18%)

[7] SDC is in the Eye of the Beholder: A Survey and Preliminary Study
Bo Fang, Panruo Wu, Qiang Guan, Nathan Debardeleben, Laura Monroe, Sean Blanchard, Zhizong Chen, Karthik Pattabiraman, Matei Ripeanu
3rd IEEE International Workshop on Reliability and Security Data Analysis (co-located with DSN 2016), June 2016.

[6] ePVF: An Enhanced Program Vulnerability Factor Methodology for Cross-Layer Resilience Analysis
Bo Fang, Qining Lu, Karthik Pattabiraman, Matei Ripeanu and Sudhanva Gurumurthi
Proceedings of the IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2016 (acceptance rate 21%)

[5] Evaluating the Error Resilience of Parallel Programs
Bo Fang, Karthik Pattabiraman, Matei Ripeanu and Sudhanva Gurumurthi,
Workshop on Fault Tolerance for High-Performance at Extreme Scale (FTXS), In conjunction with DSN 2014

[4] GPUS: Combining high-performance with high-reliability
L. Bautista Gomez, F. Cappello, L. Carro, N.DeBardeleben, B. Fang, S. Gurumurthi, K. Pattabiraman, P. Rech, M. Sonza Reorda,
Embedded tutorial paper (invited), Proceedings of the International Symposium on Design Automation and Test in Europe (DATE), 2014

[3] GPU-Qin: A Methodlogy for Evaluating the Error Resilience of GPGPU Applications
Bo Fang, Karthik Pattabiraman, Matei Ripeanu, and Sudhanva Gurumurth,
IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2014, (acceptance rate 31%).

[2] Towards Building Error Resilient GPGPU Applications
Bo Fang, Jiesheng Wei, Karthik Pattabiraman, Matei Ripeanu,
3rd IEEE Workshop on Resilient Architecture (WRA) in conjunction with MICRO 2012.

[1] Evaluating Error Resiliency of GPGPU Applications
Bo Fang, Jiesheng Wei, Karthik Pattabiraman, Matei Ripeanu,
High Performance Computing, Networking, Storage and Analysis SC12’, poster.