Name
Abstract | ||
|---|---|---|
Recent research in multi-agent systems incorporate fault tolerance concepts, but does not explore the extension and implementation of such ideas for large scale parallel computing systems. The work reported in this paper investigates a swarm array computing approach, namely 'Intelligent Agents'. A task to be executed on a parallel computing system is decomposed to sub-tasks and mapped onto agents that traverse an abstracted hardware layer. The agents intercommunicate across processors to share information during the event of a predicted core/processor failure and for successfully completing the task. The feasibility of the approach is validated by implementation of a parallel reduction algorithm on a computer cluster using the Message Passing Interface. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1878537.1878620 | SpringSim |
Keywords | Field | DocType |
intelligent agent,fault tolerance concept,parallel computing system,computer cluster,parallel reduction algorithm,abstracted hardware layer,message passing interface,swarm array computing approach,large scale parallel computing,mpi-based implementation,intelligent agents,agents intercommunicate,fault tolerance,fault tolerant,parallel computing,parallel computer,multi agent system | Cluster (physics),Intelligent agent,Swarm behaviour,Computer science,Agent architecture,Real-time computing,Fault tolerance,Message Passing Interface,Computer cluster,Distributed computing,Traverse | Conference |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Blesson Varghese | 1 | 352 | 35.03 |
| Gerard McKee | 2 | 14 | 3.84 |
| Vassil Alexandrov | 3 | 61 | 11.49 |