Multi-parametric optimisation of the modular computer architecture
by Lev Kirischian, Vadim Geurkov, Valeri Kirischian, Irina Terterian
International Journal of Technology, Policy and Management (IJTPM), Vol. 6, No. 3, 2006

Abstract: The paper describes an approach that allows optimisation of computing architecture selection in case of multi-parametric requirements. The proposed method is oriented to systems combined from modular components. The approach is based on decomposition of a multi-dimensional design space into multiple two-dimensional subdesign spaces. The paper presents the procedure that drastically reduces the number of architectural variants to be analysed. This has become possible by the presentation of each subdesign space in a form of a tree, hierarchical arrangement, and further pruning of subdesign spaces. The proposed approach is applicable to any system architecture based on modules with known performance parameters. As a result, the proposed method has allowed selection of the architecture, which satisfies multiple performance constrains (e.g., performance, cost, power consumption, reliability, etc.), in a small time range. The implementation of the method for the architectural optimisation of the reconfigurable data-stream processors, which are based on the Field Programmable Gate Array (FPGA) devices, is also discussed.

Online publication date: Thu, 09-Nov-2006

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 Technology, Policy and Management (IJTPM):
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