News

•  Jul 7, 2026 Our paper on using compiler based instruction-duplication techniques to detect defect driven silent data corruption in CPUs has been accepted at MICRO 59.
•  Aug 28, 2025 Our paper on silent data corruption from defective chips has been accepted at IEEE Design & Test.
•  Nov 20, 2021 I finished my PhD and will be joining the Platforms-Performance team in Google as a Software Engineer.
•  Oct 20, 2021 Our paper on characterizing latency variation in serverless FaaS has been accepted at WoSC 2021.
•  Aug 20, 2021 Our paper on accelerating PairHMM computations on GPUs has been accepted at ICCD 2021.
•  Nov 19, 2020 Our paper on correcting CPU-performance counter sampling errors has been accepted at ASPLOS 2021.
•  Sep 5, 2020 Our SC 2020 paper has been nominated for the best paper and best student paper awards.
•  Aug 15, 2020 Our paper on fine-grained ML-based resource rebalancing to meet microservice SLO-requirements has been accepted at OSDI 2020.
•  Jul 3, 2020 Our paper on ML-based load-balancing in the Linux Kernel’s CFS has been accepted at ApSys 2020.
•  Jun 29, 2020 Our paper on ML-based diagnosis and localization of large-scale distribted file-system failures has been accepted at Supercomputing 2020.
•  May 31, 2020 Our paper on domain-knowledge guided reinforcement learning for scheduling tasks across CPUs, GPUs, and FPGAs has been accepted at ICML 2020.
•  Mar 4, 2020 Our paper on intelligent malware targeting autonomous vehicle safety has been accepted at DSN 2020.
•  Oct 29, 2019 Our DSN 2019 paper was featured on CSL News, Science Daily, Daily Illini, EurekAlert, Sina, and Guancha.cn.
•  Mar 4, 2019 Our papers on using Bayesian methods to perform targeted fault injection and model fault propagation in AI-driven systems have been accepted at DSN 2019.