Contributor

I am a computer science researcher and a systems software enthusiast. My research empowers HPC application scientists to perform research faster and easier. My work in compiler optimizations, programming languages, parallel computing, approximate computing, and performance optimizations to empower HPC scientific developers to effortlessly develop efficient scientific applications. As the software architect of HPAC, a programming model that allows developers to describe software approximations in the application source code, I am leading approximate computing in HPC. My research project, LocalExperts, is developing mechanisms to automatically identify ill-performing code locations. I co-design the AMS software that allows HPC applications to replace parts of their computations with machine learning models. My work is frequently published in top conferences (PPoPP, SC, CGO, PACT) and journals (TPDS, TACO), and am a member of the organizing committee of AI4Dev and the TPDS review board. I received his doctoral degree in Computer Engineering in 2018 from UTH, Greece.