Memorias de investigación
Communications at congresses:
Towards Fuzzy Granularity Control in Parallel/Distributed Computing

Research Areas
  • Information technology and adata processing

Automatic parallelization has become a mainstream research topic for different reasons. For example, multicore architectures, which are now present even in laptops, have awakened an interest in software tools that can exploit the computing power of parallel processors. Distributed and (multi)agent systems also benefit from techniques and tools for deciding in which locations should processes be run to make a better use of the available resources. Any decision on whether to execute some processes in parallel or sequentially must ensure correctness (i.e., the parallel execution obtains the same results as the sequential), but also has to take into account a number of practical overheads, such as those associated with tasks creation, possible migration of tasks to remote processors, the associated communication overheads, etc. Due to these overheads and if the granularity of parallel tasks, i.e., the ¿work available¿ underneath them, is too small, it may happen that the costs are larger than the benefits in their parallel execution. Thus, the aim of granularity control is to change parallel execution to sequential execution or vice-versa based on some conditions related to grain size and overheads. In this work, we have applied fuzzy logic to automatic granularity control in parallel/distributed computing and proposed fuzzy conditions for deciding whether to execute some given tasks in parallel or sequentially. We have compared our proposed fuzzy conditions with existing (conservative) sufficient conditions and our experiments showed that the proposed fuzzy conditions result in more efficient executions on average than the conservative conditions.
International Conference on Fuzzy Computation (ICFC 2010)
Valencia, España
Start Date
End Date
From page
To page
Proceedings of International Conference on Fuzzy Computation (ICFC 2010). SciTePress.
  • Autor: Susana Muñoz Hernandez UPM
  • Autor: Pedro López-García IMDEA Software - CSIC
  • Autor: Teresa Trigo de la Vega Facultad de Informática, UPM

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: BABEL: Desarrollo de Software Fiable y de Alta Calidad a partir de Tecnología Declarativa