Algorithmic skeletons: structured management of parallel computation
Algorithmic skeletons: structured management of parallel computation
PQE2000: HPC Tools for Industrial Applications
IEEE Concurrency
The Vision of Autonomic Computing
Computer
PaCT '999 Proceedings of the 5th International Conference on Parallel Computing Technologies
Parallel Programming Using Skeleton Functions
PARLE '93 Proceedings of the 5th International PARLE Conference on Parallel Architectures and Languages Europe
Euro-Par '02 Proceedings of the 8th International Euro-Par Conference on Parallel Processing
Behavioural Skeletons in GCM: Autonomic Management of Grid Components
PDP '08 Proceedings of the 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008)
Co-design of Distributed Systems Using Skeleton and Autonomic Management Abstractions
Euro-Par 2008 Workshops - Parallel Processing
Stkm on Sca: A Unified Framework with Components, Workflows and Algorithmic Skeletons
Euro-Par '09 Proceedings of the 15th International Euro-Par Conference on Parallel Processing
A cost model for autonomic reconfigurations in high-performance pervasive applications
Proceedings of the 4th ACM International Workshop on Context-Awareness for Self-Managing Systems
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Behavioural skeletons have been introduced as a suitable way to model autonomic management of parallel, distributed (grid) applications. A behavioural skeleton is basically a skeleton with an associated autonomic manager taking care of non-functional issues related to skeleton implementation. Here we discuss an implementation of a task farm behavioural skeleton exploiting SCA, the Service Component Architecture recently introduced by IBM. This implementation is meant to provide plain service/SCA users some efficient skeleton modelling common parallel application pattern and also to investigate the advantages and the problems relative to skeletons in the service world. Experimental results are eventually discussed.