Giovani Gracioli

"On the Predictability of Heterogeneous SoC Multicore Platforms"

( MPI-SWS talk in Kooperation mit dem Fachbereich Informatik)

Multiprocessor Systems-on-Chip (MPSoC) integrating hard processing cores with programmable logic (PL) are becoming increasingly common. While these platforms have been originally designed for high performance computing applications, their rich feature set can be exploited to efficiently implement mixed criticality domains serving both critical hard real-time tasks, as well as soft real-time tasks. In this talk, we show how one can tailor these MPSoCs to support a mixed criticality system, where cores are strictly isolated to avoid contention on shared resources such as Last-Level Cache (LLC) and main memory. We present and discuss a set of software and hardware techniques to improve the predictability using a modern MPSoC platform. We evaluate our techniques using an image processing application and show the maximum supported processing frequency.

Bio: Giovani Gracioli received his Ph.D. in Automation and Systems Engineering from the Federal University of Santa Catarina (UFSC), Brazil in 2014. Since 2013, he is assistant professor at UFSC. From 2017 to 2018, he has been a visiting professor in the Department of Electrical and Computer Engineering at the University of Waterloo, Canada. Currently, Giovani Gracioli is a research associate at the Technical University of Munich, Germany. His research interests include real-time, embedded, and operating systems.