XcalableMP PGAS Programming Language
From Programming Model to Applications
XcalableMP is a directive-based parallel programming language based on Fortran and C, supporting a Partitioned Global Address Space (PGAS) model for distributed memory parallel systems. This open access book presents XcalableMP language from its programming model and basic concept to the experience and performance of applications described in XcalableMP.¿XcalableMP was taken as a parallel programming language project in the FLAGSHIP 2020 project, which was to develop the Japanese flagship supercomputer, Fugaku, for improving the productivity of parallel programing. XcalableMP is now available on Fugaku and its performance is enhanced by the F…
Mehr
CHF 165.00
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
V103:
Folgt in ca. 5 Arbeitstagen
Produktdetails
- ISBN: 978-981-1576-85-0
- EAN: 9789811576850
- Produktnummer: 38179638
- Verlag: Springer Nature Singapore
- Sprache: Englisch
- Erscheinungsjahr: 2021
- Seitenangabe: 272 S.
- Masse: H23.5 cm x B15.5 cm x D1.4 cm 417 g
- Auflage: 1st ed. 2021
- Abbildungen: Paperback
- Gewicht: 417
Über den Autor
Mitsuhisa Sato is a deputy director of the RIKEN Center for Computational Science (R-CCS). He was a professor at the Graduate School of Systems and Information Engineering, University of Tsukuba from 2001. He has been working as a director of the Center for Computational Sciences, University of Tsukuba from 2007 to 2013. Since October 2010, he is appointed to the research team leader of programming environment research team in the Advanced Institute of Computational Science (AICS), former R-CCS, which was the organization to run Japanese petaflops facility K computer. Since 2014, he is working as a team leader of architecture development team in the Japanese FLAGSHIP2020 project to develop the next system of the K computer in R-CCS. He is a professor (Cooperative Graduate School Program) and professor emeritus of University of Tsukuba.
11 weitere Werke von Mitsuhisa (Hrsg.) Sato:
Bewertungen
Anmelden