Title :
Exact evaluation of memory size for multi-dimensional signal processing systems
Author :
Balasa, F. ; Catthoor, F. ; De Man, H.
Author_Institution :
IMEC, Leuven, Belgium
Abstract :
Memory cost is typically responsible for up to 80% of the chip and/or board area of most video and image processing system realizations. We present a novel technique - founded on data-flow analysis - which allows us to address the problem of background memory size evolution for a given nonprocedural algorithm specification. Usually, the number of signal instances is huge, so a new data-flow model grouping scalar signals in so-called basic sets is proposed. The method also incorporates a way to trade-off memory size with computational and controller complexity.
Keywords :
signal processing; background memory size evolution; controller complexity; data-flow analysis; data-flow model; image processing system realizations; memory cost; memory size; multi-dimensional signal processing systems; nonprocedural algorithm specification; scalar signals; signal instances; CMOS technology; Cost function; Data analysis; High level synthesis; Memory management; Multidimensional signal processing; Random access memory; Read-write memory; Registers; Video signal processing;
Conference_Titel :
Computer-Aided Design, 1993. ICCAD-93. Digest of Technical Papers., 1993 IEEE/ACM International Conference on
Conference_Location :
Santa Clara, CA, USA
Print_ISBN :
0-8186-4490-7
DOI :
10.1109/ICCAD.1993.580159
