We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Vectorization and mapping of software defined radio applications on heterogeneous multi-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

5 Author(s)
Zaki, G.F. ; Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA ; Plishker, W. ; Bhattacharyya, S.S. ; Clancy, C.
more authors

A variety of multiprocessor architectures have proliferated even for off-the-shelf computing platforms. To improve performance and productivity for common heterogeneous systems, we have developed a workflow to generate efficient solutions. By starting with a formal description of an application and the mapping problem we are able to generate a range of designs that efficiently trade-of latency and throughput. In this approach, efficient utilization of SIMD cores is achieved by applying extensive block processing in conjunction with efficient mapping and scheduling. We demonstrate our approach through an integration into the GNU Radio environment for software defined radio system design.

Published in:

Signal Processing Systems (SiPS), 2011 IEEE Workshop on

Date of Conference:

4-7 Oct. 2011