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I gave a talk at the New England Programming Languages and Systems (NEPLS) symposium at Harvard University earlier this month.
Received three-year NSF research grant on imperative Deep Learning program robustness and evolution as PI
I am pleased to announce that I, along with co-PI Anita Raja, have received a three-year standard research grant from the National Science Foundation (NSF) Software & Hardware Foundations (SHF) program as principal investigator (PI) for a project entitled “Practical Analyses and Safe Transformations for Imperative Deep Learning Programs.” The total grant amount is $600K.
The project will facilitate the robustness and automated evolution and maintenance of large, industrial Deep Learning (DL) software systems that use imperative style programming. More information may be found on NSF’s website; stay tuned for more details and funded research opportunities!
Slides for my talk on Safe Automated Refactoring for Intelligent Parallelization of Java 8 Streams at Columbia University are now available.
We are honored to receive a best paper award at the 2018 IEEE International Working Conference on Source Code Analysis and Transformation (SCAM ’18) for our paper entitled, “A Tool for Optimizing Java 8 Stream Software via Automated Refactoring” with Yiming Tang, Mehdi Beherdezeh, and Syed Ahmed. (more…)
Our paper entitled, “A Tool for Optimizing Java 8 Stream Software via Automated Refactoring,” has been accepted in the Engineering Track of the 18th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2018), to be held in Madrid, Spain in September. An abstract of the paper is listed below: (more…)
Our ICSE 2018 poster entitled, “Towards safe refactoring for intelligent parallelization of Java 8 Streams,” is now available.