Optimized Software Synthesis for Digital Signal Processing Algorithms: An Evolutionary Approach

Beitrag bei einer Tagung


Details zur Publikation

Autor(en): Bhattacharyya S, Teich J, Zitzler E
Titel Sammelwerk: IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
Jahr der Veröffentlichung: 1998
Tagungsband: Proc. of the 1998 Workshop on Signal Processing Systems
Seitenbereich: 589-598


Abstract


Based on the model of synchronous data flow (SDF), so called single appearance schedules are known to provide memory-optimal schedules. Among these the problem of buffer memory optimization is treated: (1) An Evolutionary Algorithm (EA) is applied to efficiently explore the (in general) exponential search space of actor firing orders. (2) For each order, the buffer costs are evaluated by applying a dynamic programming post-optimization step (GDPPO).



FAU-Autoren / FAU-Herausgeber

Teich, Jürgen Prof. Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)


Zitierweisen

APA:
Bhattacharyya, S., Teich, J., & Zitzler, E. (1998). Optimized Software Synthesis for Digital Signal Processing Algorithms: An Evolutionary Approach. In Proc. of the 1998 Workshop on Signal Processing Systems (pp. 589-598). Boston, US.

MLA:
Bhattacharyya, Shuvra, Jürgen Teich, and Eckart Zitzler. "Optimized Software Synthesis for Digital Signal Processing Algorithms: An Evolutionary Approach." Proceedings of the Workshop on Signal Processing Systems (SiPS),, Boston 1998. 589-598.

BibTeX: 

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