Communication-oriented performance optimisation during code generation from Simulink models
by Rongjie Yan; Min Yu; Kai Huang; Xiaomeng Zhang
International Journal of Embedded Systems (IJES), Vol. 6, No. 2/3, 2014

Abstract: Increasing complexity of embedded systems brings a big challenge for designers to satisfy requirements for both high-performance and programmability. Automatic multi-threaded code generation facilitates MPSoC-based programming greatly. Apart from the savings on programming effort, system performance is also an important issue to be considered during code generation process. As thread communication is quite frequent in multi-threaded code, system performance will be improved by reducing communication cost. Communication pipeline technique applies distributed memory server for parallel execution between message passing and functional tasks, to reduce the cost caused by communication between different processors. The technique can be applied directly to communicating threads in acyclic topologies. To maximise its application, we also provide a solution to apply the technique to cyclic topologies with allocable delay units. Furthermore, we introduce a scheduling strategy for local threads to improve communication efficiency and processor usage. Experimental results demonstrate the performance improvements with the proposed techniques.

Online publication date: Tue, 22-Jul-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Embedded Systems (IJES):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com