Shared resource management in multi-core systems using LV competition model
by Sapna Prabhu; Rohin Daruwala
International Journal of High Performance Computing and Networking (IJHPCN), Vol. 9, No. 3, 2016

Abstract: In the age of high-performance computing, multi-core technology is seen to bridge the gap between good system throughput and increased power dissipation. Most multi-core architectures share hardware resources between cores, leading to cross-core interference which is non-trivial in many cases. Effective shared resource management is necessary to minimise the performance variability of threads due to cross-core interference as well as optimise resource usage. Many biological models have been proposed which model interactions between species. This paper uses a mathematical model, on the lines of the competitive Lotka-Volterra model for biological population growth, which models performance of the cores in a shared-memory multi-core system. It further formulates stability conditions for the multi-core system taking into account the workload characteristics and derives partition sizes to partition the shared cache to reduce the effect of cross-core interference for different workload types. Analysis of scalability of the model is also presented. Performance evaluations reveal that the LV-based mathematical model can be used to study the effects of resource sharing between cores, calculate partition sizes and is scalable.

Online publication date: Sat, 30-Apr-2016

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 High Performance Computing and Networking (IJHPCN):
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