You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Efficient Resource Management for Many-Core based Industrial Real-Time Systems

Authors:


Publication Type:

Licentiate Thesis


Abstract

The increased complexity of today’s industrial embedded systems stands in need for more computational power while most systems must adhere to a restricted energy consumption, either to prolong the battery lifetime or to reduce operational costs. The many-core processor is therefore a natural fit. Due to the simple architecture of the compute cores, and therefore their good analyzability, such processors are additionally well suited for real-time applications. In our research, we focus on two particular problems which need to be addressed in order to pave the way into the many-core era. The first area is power and thermal aware execution frameworks, where we present different energy aware extensions to well known load balancing algorithms, allowing them to dynamically scale the number of active cores depending on their workload. In contrast, an additional framework is presented which balances workloads to minimize temperature gradients on the die. The second line of works focuses on industrial standards in the face of massively parallel platforms, where we address the automotive and automation domain. We present an execution framework for IEC 61131-3 applications, allowing the consolidation of several IEC 61131-3 applications on the same platform. Additionally, we discuss several architectural options for the AUTOSAR software architecture on such massively parallel platforms.

Bibtex

@misc{Becker4151,
author = {Matthias Becker},
title = {Efficient Resource Management for Many-Core based Industrial Real-Time Systems },
month = {November},
year = {2015},
url = {http://www.es.mdh.se/publications/4151-}
}