Research on Multi-core Embedded Computer Architecture based on Cloud Computing

DOI

10.2991/icecee-15.2015.260How to use a DOI?

Keywords

Multi-core Computer Architecture; Cloud Computing; Embedded System; Queueing Network.

Abstract

Cloud computing is becoming one of the hottest research area in the computer science and technology community. With Moore’s law supplying billions of transistors on-chip, embedded systems are undergoing a transition from single-core to multi-core to exploit this high transistor density for high performance. However, the optimal layout of these multiple cores along with the memory subsystem (caches and main memory) to satisfy power, area, and stringent real-time constraints is a challenging design endeavor. In this paper, we present a queueing theoretic and cloud computing based approach for modeling multi-core embedded systems that provides a quick and inexpensive performance evaluation both in terms of time and resources as compared to the development of multi-core simulators and running benchmarks on these simulators. We verify our queueing theoretic modeling approach by running SPLASH-2 benchmarks on the Super ESCalar simulator (SESC). Results reveal that our queueing theoretic model qualitatively evaluates multi-core architectures accurately with an average difference of 5.6% as compared to the architectures’ evaluations from the SESC simulator. In the future, we plan to use some novel simulation techniques to modify the proposed framework.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuwen Zheng
PY  - 2015/06
DA  - 2015/06
TI  - Research on Multi-core Embedded Computer Architecture based on Cloud Computing
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 1392
EP  - 1397
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.260
DO  - 10.2991/icecee-15.2015.260
ID  - Zheng2015/06
ER  -