67,95 €
67,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
34 °P sammeln
67,95 €
67,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
34 °P sammeln
Als Download kaufen
67,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
34 °P sammeln
Jetzt verschenken
67,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
34 °P sammeln
  • Format: ePub

This textbook covers the core principles of parallel computing using language-neutral programming models together with abstract machine models. It focuses on patterns of parallel programming and mental models of parallel computing, using a task graph approach. Pseudocode is used for the programming examples in order to capture the essential behavior, without getting tied up in syntactical details. The author provides implementations of all examples in several parallel programming languages as part of the supplementary material.

  • Geräte: eReader
  • mit Kopierschutz
  • eBook Hilfe
  • Größe: 10.56MB
Produktbeschreibung
This textbook covers the core principles of parallel computing using language-neutral programming models together with abstract machine models. It focuses on patterns of parallel programming and mental models of parallel computing, using a task graph approach. Pseudocode is used for the programming examples in order to capture the essential behavior, without getting tied up in syntactical details. The author provides implementations of all examples in several parallel programming languages as part of the supplementary material.


Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Eric Aubanel is a Professor in the Faculty of Computer Science at the University of New Brunswick, Fredericton, Canada. His area of research is High Performance Computing. He is part of the IBM Center for Advanced Studies - Atlantic and associated with the Atlantic Computational Excellence Network (ACEnet). His research is funded by NSERC.