News

ISSRE20 Best Paper Award

Congratulations are in order for Guanpeng Li, Yiran Li, Saurabh Jha, Zbigniew Kalbarczyk, and Ravishankar Iyer who were awarded the Best Paper Award at the 31st International Symposium on Software Reliability Engineering (ISSRE 2020) for their paper, “AV-FUZZER: Finding safety violations in autonomous driving systems.”

Work on “finding safety bugs in autonomous vehicles” nominated for best research paper at ISSRE 2020

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).

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Work on “detecting and localizing failures” nominated for best paper and best student paper at supercomputing 2020

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)

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Depend Group Alum Honored by IEEE

Karthik Pattabiraman HeadshotDepend Group Alum, Karthik Pattabiraman, received the inaugural Rising Star in Dependability award from the IEEE Computer Society. This award recognizes a junior researcher, from academia or industry, who demonstrates “outstanding potential for creative ideas and innovative research in the field of dependable and resilient computer systems and networks.”

Please join us in congratulating Karthik!

 

Full article here

Read more here and here

Karthik’s research page

 

DEPEND group at the forefront of enabling AI in Systems

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.

  1. Saurabh Jha , Shengkun Cui, Subho Banerjee , Tianyin Xu, Jeremy Enos, Mike Showerman, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer (2020). Understanding, Detecting, and Localizing Failures in High-Performance Storage Systems. Proceedings of the International Conference for High-Performance Computing, Networking, Storage and Analysis 2020 Nov 17 (SC 2020)
  2. Subho S Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar K. Iyer. Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters. Thirty-seventh International Conference on Machine Learning (ICML 2020).

 

 

Top CSL Story of 2019

An article written about the work of Yogatheesan Varatharajah, Krishnakant Saboo, Chang Hu, and Professor Ravishankar Iyer, has been awarded the Top CSL Story of 2019. This was based on the number of clicks the article received on the CSL website. This is the second year in a row that members of the DEPEND group have been awarded top CSL story!

Read the original article here.

Read about the other Top CSL Stories of 2019 here.