A Framework for Data Partitioning for C++ Data-Intensive Applications

We present an automated framework that partitions the code and data types for the needs of data management in an object-oriented source code. The goal is to identify the crucial data types from data management perspective and separate these from the rest of the code. In this way, the design complexi...

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Veröffentlicht in:	Design automation for embedded systems 2004-06, Vol.9 (2), p.101-121
Hauptverfasser:	Milidonis, A., Dimitroulakos, G., Galanis, M. D., Kakarountas, A. P., Theodoridis, G., Goutis, C., Catthoor, F.
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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