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2019-06-10
Julia High Performance: Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond, 2nd Edition - de Avik Sengupta (Author)
Details Julia High Performance: Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond, 2nd Edition
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| Le Titre Du Livre | Julia High Performance: Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond, 2nd Edition |
| Date de Parution | 2019-06-10 |
| Traducteur | Debora Mahamed |
| Chiffre de Pages | 511 Pages |
| Taille du fichier | 55.43 MB |
| Langage | Anglais et Français |
| Éditeur | Woodhead Publishing |
| ISBN-10 | 4527042294-VCI |
| Type de Document | PDF ePub AMZ MCW WRI |
| de (Auteur) | Avik Sengupta |
| Digital ISBN | 014-6624950533-XBD |
| Nom de Fichier | Julia-High-Performance-Optimizations-distributed-computing-multithreading-and-GPU-programming-with-Julia-1.0-and-beyond-2nd-Edition.pdf |
Télécharger Julia High Performance: Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond, 2nd Edition Livre PDF Gratuit
Designing High Performance Computing Architectures f Reliable S A hit t for R li bl Space Applications pp Fisnik Kraja PhD Defense December 6 2012 Advisors 1…
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Julia High Performance eBook de Avik Sengupta
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With respect to performance at the time of testing Giraph was faster than the other frameworks much faster than Hive Finally Giraph’s graphbased API inspired by Google’s Pregel and Leslie Valiant’s bulk synchronous parallel computing model supports a wide array of graph applications in a way that is easy to understand
It is our great pleasure to welcome you to Phoenix AZ and to the annual International Symposium on HighPerformance Parallel and Distributed Computing HPDC 2019