Spedizione gratuita per ordini superiori a 69,99 euro.

Controllare lo stato dell'ordine

Entra a far parte di una comunità di amanti dei libri di tutto il mondo e ottieni numerosi vantaggi. Crea un account gratuito

Spedizione gratuita con Packeta per un prezzo superiore a 69.99 €

Bartolini 4.49 € Punto Poste 5.49 € Punto Poste 5.49 € Punto Bartolini 3.49 € DHL 6.99 € GLS 7.99 €

Contatto

Come acquistare

Aiuto

Il mio account

▸ Vuoto :-(

Spedizione gratuita per ordini superiori a 69,99 euro.

Euro-Par 2020: Parallel Processing

Name: Euro-Par 2020: Parallel Processing
Brand: Springer Nature Switzerland AG
SKU: 33083397
Price: 53.79 EUR
Availability: InStock
Author: Krzysztof Rzadca
ISBN: 9783030576745

Krzysztof Rzadca

Lingua

Inglese

Libro In brossura

Codice Libristo: 33083397

Casa editrice Springer Nature Switzerland AG, agosto 2020

This book constitutes the proceedings of the 26th International Conference on Parallel and Distribut... Descrizione completa

Codice Libristo: 33083397

132 b

53.79 €

Magazzino esterno Inviamo tra 5-8 giorni

30 giorni per il reso

I clienti hanno acquistato anche

Manual del Cuidador de Alzheimer CLAVIJO GAMERO

In brossura

47.79 €

FRE-ESSAI DE CLASSIFICATION DE Laboratoire D'Etudes De La Soie

In brossura

19.99 €

Des Herzogtums Troppau ehemalige Stellung zur Markgrafschaft Mahren Beda Franziskus Dudík

In brossura

22.79 €

Fachrechnen für Bauzeichner Rolf Cremmer

In brossura

59.09 €

GOUNOD, C COME UNTO HIM SSTTBB OR SATTBB CHANT GOUNOD Libro

binding.

7.19 €

Anka Kusu

In brossura

17.79 €

List Rimanom

Rigido

14.79 €

This book constitutes the proceedings of the 26th International Conference on Parallel and Distributed Computing, Euro-Par 2020, held in Warsaw, Poland, in August 2020. The conference was held virtually due to the coronavirus pandemic.The 39 full papers presented in this volume were carefully reviewed and selected from 158 submissions. They deal with parallel and distributed computing in general, focusing on support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance architectures and compilers; data management, analytics and machine learning; cluster, cloud and edge computing; theory and algorithms for parallel and distributed processing; parallel and distributed programming, interfaces, and languages; multicore and manycore parallelism; parallel numerical methods and applications; and accelerator computing.