Exploration and synthesis of dynamic data sets in telecom network applications

We present a novel exploration and optimization method to select customized implementations for dynamic data sets, as encountered in telecom network, database and multimedia applications. Our method fits in the context of embedded system synthesis for such applications, and enables us to further raise the abstraction level of the initial specification, where dynamic data sets can be specified without low-level details. Our method is suited for hardware and software implementations. It mainly aims at minimizing the memory power consumption, although it can also be driven by other cost functions such as area or performance. Compared with existing methods, it can save up to 2/3 of the memory power consumption and 3/4 of the memory area.