Abstract | ||
---|---|---|
Abstract This work investigates the use of reconfigurable devices as computing platform for self-organizing embedded,systems. Those usually consist of a set of distributed, autonomous nodes interacting with each other in order to solve a given problem. Several aspects of hardware-software co-design as well as partial reconfiguration are presented in order to enforce adaptivity of a node. One targeted application field for this kind of system are sensor networks in which reconfigurable devices, in this case FPGAs, can be used as computation nodes to provide services that require more computation,power. To manage,the available hardware resources as a whole we suggest a market-economy-like system of supply and demand. Requests, built up out of several tasks, can be posed to the collective. The goal is to gain a system able to perform simple tasks as well as very complex computations, while keeping the overall energy consump- tion low. This will be achieved by deploying highly specialized hardware accelerators and a reasonable resource management. First results show the viability of the methods in the distributed management,of available resources. Keywords: FPGA, Partial Reconfiguration, Distributed Computing, Self-Organization 2 |
Year | DOI | Venue |
---|---|---|
2007 | 10.1007/978-0-387-72258-0_32 | IESS |
Keywords | Field | DocType |
self-organiza- tion,distributed computing,partial reconfiguration,fpga,supply and demand,market economy,hardware accelerator,resource manager,self organization,reconfigurable hardware,sensor network,embedded system | Sensor node,Hardware compatibility list,Computer science,Hardware acceleration,Wireless sensor network,Distributed management,Control reconfiguration,Embedded system,Reconfigurable computing,Hardware architecture,Distributed computing | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dominik Murr | 1 | 1 | 0.73 |
Felix Mühlbauer | 2 | 22 | 4.36 |
Falko Dressler | 3 | 2233 | 201.66 |
Christophe Bobda | 4 | 627 | 90.57 |