Title
System-level exploration of association table implementations in telecom network applications
Abstract
We present a new exploration and optimization method at the system level 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 average memory power, although it can also be driven by other cost functions such as memory size and performance. Compared with existing methods, for large dynamic data sets, it can save up to 90% of the average memory power, while still saving up to 80% of the average memory size.
Year
DOI
Venue
2002
10.1145/581888.581895
ACM Trans. Embedded Comput. Syst.
Keywords
Field
DocType
large dynamic data set,system level,embedded system synthesis,telecom network application,memory management,memory size,optimization method,average memory power,average memory size,system-level exploration,dynamic data set,cost function,association table implementation,abstraction level,dynamic data,embedded system
Telecom network,Computer science,Parallel computing,Implementation,Real-time computing,Dynamic data,Memory management,Average memory,Abstraction layer,Software implementation,System level
Journal
Volume
Issue
Citations 
1
1
2
PageRank 
References 
Authors
0.43
12
5
Name
Order
Citations
PageRank
Ch. Ykman-Couvreur1483.57
J. Lambrecht2263.16
A. van der Togt340.95
F. Catthoor489783.95
H. De Man549083.62