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A high-productivity task-based programming model for clusters

Autor
Tejedor, E.; Farreras, M.; Grove, D.; Badia, R.M.; Almási, G.; Labarta, J.
Tipus d'activitat
Article en revista
Revista
Concurrency and computation. Practice and experience
Data de publicació
2012-12-15
Volum
24
Número
18
Pàgina inicial
2421
Pàgina final
2448
DOI
https://doi.org/10.1002/cpe.2831 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/19809 Obrir en finestra nova
URL
http://onlinelibrary.wiley.com/doi/10.1002/cpe.2831/abstract Obrir en finestra nova
Resum
Programming for large-scale, multicore-based architectures requires adequate tools that offer ease of programming and do not hinder application performance. StarSs is a family of parallel programming models based on automatic function-level parallelism that targets productivity. StarSs deploys a data-flow model: it analyzes dependencies between tasks and manages their execution, exploiting their concurrency as much as possible. This paper introduces Cluster Superscalar (ClusterSs), a new StarSs ...
Citació
Tejedor, E. [et al.]. A high-productivity task-based programming model for clusters. "Concurrency and computation. Practice and experience", 15 Desembre 2012, vol. 24, núm. 18, p. 2421-2448.
Paraules clau
asynchronous execution, high performance computing, parallel programming models, productivity
Grup de recerca
CAP - Grup de Computació d'Altes Prestacions

Participants