Publication Type:

Conference Proceedings

Source:

2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017, Institute of Electrical and Electronics Engineers Inc., Volume 2018-January, p.685-690 (2018)

ISBN:

9781509061068

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049366481&doi=10.1109%2fICICICT1.2017.8342646&partnerID=40&md5=0cd87a92839926b0c53deada07c92fe3

Keywords:

Automotive applications, Communication cost, Core processors, Intelligent computing, Multi core, Occupational risks, random task, Task allocation, Task-splitting

Abstract:

With the necessity of increased safety concern and good comfort, multiprocessor and multi-core systems are in more demand. In multi-core system there are mainly two challenges which need more attention compared to single processor system viz., task assignment and task scheduling. This paper considers task dependency, balanced utilization of cores and task splitting strategies and presents how a set of tasks can be optimally assigned to two-core processor. The proposed approach is beneficial in terms of reduced inter core-processor communication, avoiding overloading of cores and finding optimal number of cores for workload assignment. Simulation studies are carried out to compare the proposed algorithm with conventional allocation algorithm in the field for performance evaluation. Various test cases are considered for performance comparison and the proposed algorithm is evaluated by simulations, showing superior performance compared the existing algorithm in most of the cases. © 2017 IEEE.

Notes:

cited By 0; Conference of 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017 ; Conference Date: 6 July 2017 Through 7 July 2017; Conference Code:136091

Cite this Research Publication

S. Paranjape and Dr. Anju Pillai S., “Optimal Workload Allocation for Performance Evaluation on Multi-core Automotive ECUs”, 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017, vol. 2018-January. Institute of Electrical and Electronics Engineers Inc., pp. 685-690, 2018.