The advent of commercial-of-the-shelf (COTS) heterogeneous many-core platforms is opening up a series of opportunities in the embedded computing market. Integrating multiple computing elements running at lower frequencies allows obtaining impressive performance capabilities at a reduced power consumption. These platforms can be successfully adopted to build the next-generation of self-driving vehicles, where Advanced Driver Assistance Systems (ADAS) need to process unprecedently higher computing workloads at low power budgets. Unfortunately, the current methodologies for providing real-time guarantees are uneffective when applied to the complex architectures of modern many-cores. Having impressive average performances with no guaranteed bounds on the response times of the critical computing activities is of little if no use to these applications. Project HERCULES will provide the required technological infrastructure to obtain an order-of-magnitude improvement in the cost and power consumption of next generation automotive systems. This paper presents the integrated software framework of the project, which allows achieving predictable performance on top of cutting-edge heterogeneous COTS platforms. The proposed software stack will let both real-time and non real-time application coexist on next-generation, power-efficient embedded platform, with preserved timing guarantees.

Burgio, P., Bertogna, M., Olmedo, I.S., Gai, P., Marongiu, A., Sojka, M. (2016). A Software Stack for Next-Generation Automotive Systems on Many-Core Heterogeneous Platforms. Institute of Electrical and Electronics Engineers Inc. [10.1109/DSD.2016.84].

A Software Stack for Next-Generation Automotive Systems on Many-Core Heterogeneous Platforms

Marongiu, Andrea;
2016

Abstract

The advent of commercial-of-the-shelf (COTS) heterogeneous many-core platforms is opening up a series of opportunities in the embedded computing market. Integrating multiple computing elements running at lower frequencies allows obtaining impressive performance capabilities at a reduced power consumption. These platforms can be successfully adopted to build the next-generation of self-driving vehicles, where Advanced Driver Assistance Systems (ADAS) need to process unprecedently higher computing workloads at low power budgets. Unfortunately, the current methodologies for providing real-time guarantees are uneffective when applied to the complex architectures of modern many-cores. Having impressive average performances with no guaranteed bounds on the response times of the critical computing activities is of little if no use to these applications. Project HERCULES will provide the required technological infrastructure to obtain an order-of-magnitude improvement in the cost and power consumption of next generation automotive systems. This paper presents the integrated software framework of the project, which allows achieving predictable performance on top of cutting-edge heterogeneous COTS platforms. The proposed software stack will let both real-time and non real-time application coexist on next-generation, power-efficient embedded platform, with preserved timing guarantees.
2016
Proceedings - 19th Euromicro Conference on Digital System Design, DSD 2016
55
59
Burgio, P., Bertogna, M., Olmedo, I.S., Gai, P., Marongiu, A., Sojka, M. (2016). A Software Stack for Next-Generation Automotive Systems on Many-Core Heterogeneous Platforms. Institute of Electrical and Electronics Engineers Inc. [10.1109/DSD.2016.84].
Burgio, Paolo; Bertogna, Marko; Olmedo, Ignacio Sanudo; Gai, Paolo; Marongiu, Andrea; Sojka, Michal
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/613666
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