Cantitate/Preț
Produs

Euro-Par 2017: Parallel Processing: Lecture Notes in Computer Science, cartea 10417

Editat de Francisco F. Rivera, Tomás F. Pena, José C. Cabaleiro
en Limba Engleză Paperback – aug 2017
This book constitutes the proceedings of the 23rd International Conference on Parallel and Distributed Computing, Euro-Par 2017, held in Santiago de Compostela, Spain, in August/September 2017. The 50 revised full papers presented together with 2 abstract of invited talks and 1 invited paper were carefully reviewed and selected from 176 submissions. The papers are organized in the following topical sections: support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance architectures and compilers; parallel and distributed data management and analytics; cluster and cloud computing; distributed systems and algorithms; parallel and distributed programming, interfaces and languages; multicore and manycore parallelism; theory and algorithms for parallel computation and networking; prallel numerical methods and applications; and accelerator computing.
Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 34571 lei

Preț vechi: 43213 lei
-20%

Puncte Express: 519

Carte tipărită la comandă

Livrare economică 27 iulie-10 august

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit de la 40000 lei Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.

Specificații

ISBN-13: 9783319642024
ISBN-10: 3319642022
Pagini: 760
Ilustrații: XXXII, 725 p. 261 illus.
Dimensiuni: 155 x 235 x 41 mm
Greutate: 1.13 kg
Ediția:1st edition 2017
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

Support tools and environments.- Performance and power modeling, Prediction and evaluation.- Scheduling and load balancing.- High performance architectures and compilers.- Parallel and distributed data management and analytics.- Cluster and cloud computing.- Distributed systems and algorithms.- Parallel and distributed programming, Interfaces and languages.- Multicore and manycore parallelism.- Theory and algorithms for parallel computation and networking.- Parallel numerical methods and applications.- Accelerator computing.