Machine Learning

Applied Machine Learning: Error Detection

• K. S. Yim, "Characterization of Impact of Transient Faults and Detection of Data Corruption Errors in Large-Scale N-Body Programs Using Graphics Processing Units," In Proceedings of the IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 458-467, May 2014. (Acceptance Ratio: 21.1% = 114/541) [Paper] [Slide]
• K. S. Yim, Z. Kalbarczyk, and R. K. Iyer, "Pluggable Watchdog: Transparent Failure Detection for MPI Programs," In Proceedings of the IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 489-500, May 2013. (Acceptance Ratio: 21.8% = 108/494) [Paper] [Slide] [IEEExplore]
• K. S. Yim, C. Pham, M. Saleheen, Z. Kalbarczyk, and R. K. Iyer, "Hauberk: Lightweight Silent Data Corruption Error Detector for GPGPU," In Proceedings of the IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 287-300, May 2011. (Acceptance Rate: 19.6% = 112/571) [Paper] [Slide] [IEEExplore]
• K. S. Yim, "Evaluation Metrics of Service-Level Reliability Monitoring Rules of a Big Data Service," In Proceedings of the IEEE International Symposium on Software Reliability Engineering (ISSRE), pp. 376-387, October 2016. (Acceptance Ratio: 35% = 45/130) [Paper] [Slide]

Machine Learning Infrastructure (e.g., Privacy)

• K. S. Yim, "Automated Assistant Architecture for Preserving Privacy of Application Context," US Patent Application, 2019.