Work on finding safety violations in autonomous vehicles nominated for best research paper at ISSRE 2020
Guanpeng Li, Yiran Li, Saurabh Jha , T. Tsai, S. K. S. Hari, M. B. Sullivan, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer (2020). AV-FUZZER: Finding safety violations in autonomous driving systems. Proceedings of the IEEE International Conference on Software Reliability Engineering (ISSRE’20).
ML-driven method for detecting and localizing failures nominated for best paper and best student paper at supercomputing 2020
Saurabh Jha , Shengkun Cui, Subho Banerjee, Tianyin Xu, Jeremy Enos, Mike Showerman, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer (2020). Live Forensics for HPC Systems: A Case Study on Distributed Storage Systems. Proceedings of the International Conference for High-Performance Computing, Networking, Storage and Analysis (SC 2020)
Work performed in the DEPEND group is fundamentally reinventing the design of computer systems, from hardware to applications. Systems are designed to use artificial intelligence and machine-learning to control and optimize large-scale heterogeneous computer systems to meet the performance and resiliency requirements of those emergent applications.
Two recent publications on scheduling application kernels to achieve high performance, and detecting failures and performance anomalies in heterogenous systems are accepted at ICML 2020 and Supercomputing 2020.