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eskimo: Experimenting with Skeletons in the Shared Address Model

Articolo
Data di Pubblicazione:
2003
Abstract:
We discuss the lack of expressivity in some skeleton-based parallel programming frameworks. The problem is further exacerbated when approaching irregular problems and dealing with dynamic data structures. Shared memory programming has been argued to have substantial ease of programming advantages for this class of problems. We present the eskimo library which represents an attempt to merge the two programming models by introducing skeletons in a shared memory framework.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Skeletons; Dynamic data structures; Software DSM; Cluster of workstations
Elenco autori:
Aldinucci, Marco
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/79575
Pubblicato in:
PARALLEL PROCESSING LETTERS
Journal
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