Time, Energy and Security Analysis for Multi-/Many-Core heterogeneous Platforms (TeamPlay)
|Name||Time, Energy and Security Analysis for Multi-/Many-Core heterogeneous Platforms|
|Role of TUHH||Work Package Leader|
|Funds Donor||European Commission (Horizon 2020)|
The TeamPlay project aims to develop new, formally-motivated, techniques that will allow execution time, energy usage, security, and other important non-functional properties of parallel software to be treated effectively, and as first-class citizens. We will build this into a toolbox for developing highly parallel software for low-energy systems, as required by the internet of things, cyber-physical systems etc. The TeamPlay approach will allow programs to reflect directly on their own time, energy consumption, security, etc., as well as enabling the developer to reason about both the functional and the non-functional properties of their software at the source code level.
Our success will ensure significant progress on a pressing problem of major industrial importance: how to effectively manage energy consumption for parallel systems while maintaining the right balance with other important software metrics, including time, security etc. The project brings together leading industrial and academic experts in parallelism, energy modeling/transparency, worst-case execution time analysis, non-functional property analysis, compilation, security, and task coordination. Results will be evaluated using industrial use cases taken from the computer vision, satellites, flying drones, medical and cybersecurity domains.
TeamPlay Publications of the Embedded Systems Design Group
|Title: Measuring and Modeling Energy Consumption of Embedded Systems for Optimizing Compilers. <em>In Proceedings of the 21st International Workshop on Software & Compilers for Embedded Systems (SCOPES)</em>|
|Written by: Mikko Roth, Arno Luppold and Heiko Falk|
|in: May (2018).|
|on pages: 86-89|
|Address: St. Goar / Germany|
|how published: 18-90 RLF18 SCOPES|
Note: mroth, aluppold, hfalk, teamplay, ESD, WCC
Abstract: Estimating energy consumption already during development as precisely as possible is crucial for many embedded system designs. These energy estimates should be expressed such that they can be used by subsequent automated optimizations during the compilation phase in order to minimize the expected energy consumption. In this paper we present our current approach on measuring and modeling, and subsequently using the derived energy estimates. Our model is implemented within an optimizing compiler, allowing for future energy focused compiler optimizations.