High Performance Computing for Computational Science - VECPAR 2018 13th International Conference, São Pedro, Brazil, September 17-19, 2018, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Senger, Hermes (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Marques, Osni (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Garcia, Rogerio (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Pinheiro de Brito, Tatiana (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Iope, Rogério (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Stanzani, Silvio (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Gil-Costa, Veronica (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Theoretical Computer Science and General Issues ; 11333
• Θέματα: Computer organization.; Computer hardware.; Computer programming.; Programming languages (Electronic computers).; Artificial intelligence.; Computer Systems Organization and Communication Networks.; Computer Hardware.; Programming Techniques.; Programming Languages, Compilers, Interpreters.; Artificial Intelligence.
• Φυσική περιγραφή: XIII, 264 p. 127 illus., 92 illus. in color. online resource.
• ISBN: 9783030159962
• DOI: 10.1007/978-3-030-15996-2

This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Conference on High Performance Computing in Computational Science, VECPAR 2018, held in São Pedro, Brazil, in September 2018. The 17 full papers and one short paper included in this book were carefully reviewed and selected from 32 submissions presented at the conference. The papers cover the following topics: heterogeneous systems, shared memory systems and GPUs, and techniques including domain decomposition, scheduling and load balancing, with a strong focus on computational science applications.