Name
Abstract | ||
|---|---|---|
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 fits in the context of embedded system synthesis for such applications, and enables 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. 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. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/ISSS.1999.814265 | ISSS |
Keywords | Field | DocType |
application software,telecommunications,intellectual property,intelligent networks,system on a chip,hardware,dynamic data,cores,embedded systems,cost function,protocols,abstraction level,data structures,network synthesis,embedded system | Data structure,System on a chip,Computer science,Parallel computing,Implementation,Real-time computing,Dynamic data,Intelligent Network,Abstraction layer,Application software,Energy consumption | Conference |
ISBN | Citations | PageRank |
0-7695-0356-X | 9 | 0.67 |
References | Authors | |
9 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ch. Ykman-Couvreur | 1 | 48 | 3.57 |
| J. Lambrecht | 2 | 26 | 3.16 |
| Diederik Verkest | 3 | 1544 | 123.76 |
| F. Catthoor | 4 | 897 | 83.95 |
| H. De Man | 5 | 490 | 83.62 |