DocumentCode :
3346303
Title :
Optimum address pointer assignment for digital signal processors
Author :
Wess, Bernhard ; Zeitlhofer, Thomas
Author_Institution :
Inst. of Commun. & Radio-Frequency Eng., Vienna Univ. of Technol., Austria
Volume :
5
fYear :
2004
fDate :
17-21 May 2004
Abstract :
Generating optimum data memory layouts and address pointer assignments for digital signal processors are hard combinatorial optimization problems. It is shown that for fixed memory layouts, and in contrast to traditional heuristic approaches, optimum address pointer assignments can be generated easily. The computational complexity depends exponentially on just the number of address pointers. The proposed technique is applied to a large benchmark suite. Experimental results for three address pointers show that optimum solutions can be generated in almost all cases (99.98%) within one second. Since a large number of address pointers may be intractable, an additional heuristic pruning technique with nearly optimum performance is proposed.
Keywords :
combinatorial mathematics; computational complexity; digital signal processing chips; optimisation; storage allocation; storage management; NP-hard problems; address generation units; address pointer assignment; combinatorial optimization problems; computational complexity; data memory layouts; digital signal processors; heuristic pruning technique; Computational complexity; Concurrent computing; Costs; Data engineering; Digital signal processing; Digital signal processors; Radio frequency; Registers; Semiconductor optical amplifiers; Signal generators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8484-9
Type :
conf
DOI :
10.1109/ICASSP.2004.1327062
Filename :
1327062
Link To Document :
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