By Topic

Communication and task scheduling of application-specific networks-on-chip

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $33
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
J. Hu ; Carnegie Mellon Univ., Pittsburgh, MA, USA ; R. Marculescu

The objective of the paper is to introduce a novel energy-aware scheduling (EAS) algorithm which statically schedules application-specific communication transactions and computation tasks onto heterogeneous network-on-chip (NoC) architectures. The proposed algorithm automatically assigns the application tasks onto different processing elements and then schedules their execution under real-time constraints. At the same time, the algorithm takes into consideration the exact communication delay by scheduling communication transactions in parallel. As the main theoretical contribution, the authors first formulate the problem of concurrent communication and task scheduling for heterogeneous NoC architectures and then propose an efficient heuristic to solve it. Experimental results show that significant energy savings can be achieved while meeting the specified performance constraints. For instance, for a complex multimedia application, 31% energy savings have been observed, on average, compared to the schedules generated by a standard earliest-deadline-first scheduler.

Published in:

IEE Proceedings - Computers and Digital Techniques  (Volume:152 ,  Issue: 5 )