We present a new exploration and optimization method to select customized implementations for dynamic data sets, as encountered in telecom network, database and multimedia applications. Our method ts in the context of embedded system synthesis for such apns, and enables to further raise the abstraction level of the initial speci cation, where dynamic data sets can be speci ed without low-level details. Our method is suited for hardware and software implementations. In this paper, 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.
Chantal Ykman-Couvreur, J. Lambrecht, Diederik Ver