The Road towards Predictable Automotive High-Performance Platforms
Falk Rehm1,a, Jörg Seitter1,b, Jan-Peter Larsson3,a, Selma Saidi2, Giovanni Stea4, Raffaele Zippo5,4,a, Dirk Ziegenbein1,c, Matteo Andreozzi3,b and Arne Hamann1,d
1Robert Bosch GmbH, Germany
aFalk.Rehm@de.bosch.com
bJörg.Seitter@de.bosch.com
cDirk.Ziegenbein@de.bosch.com
dArne.Hamann@de.bosch.com
2Technical University of Dortmund, Germany
Selma.Saidi@tu-dortmund.de
3Arm, UK
aJan-Peter.Larsson@arm.com
bMatteo.Andreozzi@arm.com
4University of Pisa, Italy
Giovanni.Stea@unipi.it
5University of Florence, Italy
aRaffaele.Zippo@unifi.it
ABSTRACT
Due to the trends of centralizing the E/E architecture and new computing-intensive applications, high-performance hardware platforms are currently finding their way into automotive systems. However, the Systems-on-Chip (SoCs) currently available on the market have significant weaknesses when it comes to providing predictable performance for time-critical applications. The main reason for this is that these platforms are optimized for average-case performance. This shortcoming represents one major risk in the development of current and future automotive systems. In this paper we describe how highperformance and predictability could (and should) be reconciled in future HW/SW platforms. We believe that this goal can only be reached via a close collaboration among system suppliers, IP providers, semiconductor companies, and OS/hypervisor vendors. Furthermore, academic input will be needed to solve remaining challenges and to further improve initial solutions.
