RT info:eu-repo/semantics/article
T1 Computational and mathematical models meet heterogeneous computing
A1 Llanos Ferraris, Diego Rafael
A1 García Sánchez, José Daniel
AB 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.
PB Concurrency and Computation, Practice and Experience
SN 0920-8542
YR 2018
FD 2018
LK http://uvadoc.uva.es/handle/10324/39042
UL http://uvadoc.uva.es/handle/10324/39042
LA spa
NO 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.
DS UVaDOC
RD 25-abr-2024