By Topic

Run-Time Task Allocation Considering User Behavior in Embedded Multiprocessor 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
$31 $13
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)

In this paper, we propose a run-time strategy for allocating application tasks to embedded multiprocessor systems-on-chip platforms where communication happens via the network-on-chip approach. As a novel contribution, we incorporate the user behavior information in the resource allocation process; this allows the system to better respond to real-time changes and to adapt dynamically to different user needs. Several algorithms are proposed for solving the task allocation problem while minimizing the communication energy consumption and network contention. When the user behavior is taken into consideration, we observe more than 70% communication energy savings (with negligible energy and run-time overhead) compared to an arbitrary contiguous task allocation strategy.

Published in:

Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on  (Volume:29 ,  Issue: 1 )