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

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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.
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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