Agent migration in HPC systems using FLAME

Claudio Márquez, Eduardo César, Joan Sorribes

Research output: Chapter in BookConference contributionResearchpeer-review

4 Citations (Scopus)

Abstract

In HPC agent based applications, the complex interaction rules would likely cause workload imbalances that negatively affect the simulation time. In addition, the imbalance problem may vary during the application execution in accordance to the behavior of the agents. Consequently, a solution to this problem should be able to dynamically balance the load. A dynamic load balancing scheme could be based on migrating agents between processing units. In this paper, we propose a modification of the agent-based simulation framework FLAME that provides the automatic generation of the routines needed to dynamically migrate agents among different computational units. However, most agent-based simulation frameworks do not include routines for migrating agents. Moreover, we demonstrate their use in a simple load balancing scheme on a specific application.

Original languageAmerican English
Title of host publicationEuro-Par 2013
Subtitle of host publicationParallel Processing Workshops - BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013, Revised Selected Papers
Pages523-532
Number of pages10
DOIs
Publication statusPublished - 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8374 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Agent-based Simulation
  • Application Tuning
  • FLAME
  • Load Balancing
  • Migration Agents
  • SPMD

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