By Topic

Versatile Task Assignment for Heterogeneous Soft Dual-Processor Platforms

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)
Hashemi, M. ; Dept. of Electr. & Comput. Eng., Univ. of California, Davis, CA, USA ; Ghiasi, S.

Heterogeneous soft multiprocessor systems are likely to find a larger share in the application-specific computing market due to increasing cost and defect rates in foreseeable manufacturing technologies. We study the problem of mapping streaming applications onto heterogeneous soft dual-processor systems, in which processors' limited memory resources and application throughput form the outstanding constraints and objective, respectively. A key step in the compilation process is task assignment, where tasks are assigned to the processors. We develop a provably-effective algorithm for task assignment. Our algorithm is versatile, in that its formal properties hold for, and hence it is applicable to, a variety of platforms. Measurement of generated code size, and throughput of emulated systems validate the effectiveness of our approach. We advance the state-of-the-art by considerably outperforming two recent competitors in terms of both versatility and application throughput.

Published in:

Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on  (Volume:29 ,  Issue: 3 )