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Título
Computational and mathematical models meet heterogeneous computing
Año del Documento
2018
Editorial
Concurrency and Computation, Practice and Experience
Documento Fuente
9. High-Level Parallel Programming in an Heterogeneous World (Editorial, HLPP Special Issue). Jose Daniel Garcia, Diego R. Llanos. Published online in Concurrency and Computation, Practice and Experience, John Wiley and Sons, ISSN 1532-0634 (Q2), DOI 10.1002/cpe.5052.
Résumé
During the last decade, parallel programming has evolved in an unprecedent way. Fifteen years ago, the future of parallel computing seemed to consist on the advent of multicore processors composed by an ever‐increasing number in the core count per CPU, and their interconnection to form larger clusters. Programming models, such as OpenMP1 that allows to transform sequential C and Fortran codes into parallel versions with low effort, without requiring to explicitly handle threads or to share memory among them, seemed to be the winner choice in a world where computers would include more and more cores inside a single chip. Message‐passing paradigms, such as MPI,2 provided a solution to interconnect these computers in larger facilities.
ISSN
0920-8542
Revisión por pares
SI
DOI
Patrocinador
Este trabajo forma parte del proyecto de investigación PCAS Grant TIN2017-88614-R y la Junta de Castilla y León, proyecto PROPHET, VA082P17.
Idioma
spa
Tipo de versión
info:eu-repo/semantics/draft
Derechos
embargoedAccess
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