High-Performance Computing and Big Data Analysis Second International Congress, TopHPC 2019, Tehran, Iran, April 23–25, 2019, Revised Selected Papers

High-Performance Computing and Big Data Analysis Second International Congress, TopHPC 2019, Tehran, Iran, April 23–25, 2019, Revised Selected Papers / edited by Lucio Grandinetti, Seyedeh Leili Mirtaheri, Reza Shahbazian.

This book constitutes revised and selected papers from the Second International Congress on High-Performance Computing and Big Data Analysis, TopHPC 2019, held in Tehran, Iran, in April 2019. The 37 full papers and 2 short papers presented in this volume were carefully reviewed and selected from a t...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Grandinetti, Lucio (Editor), Mirtaheri, Seyedeh Leili (Editor), Shahbazian, Reza (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Communications in Computer and Information Science, 891
Springer eBook Collection.
Subjects:
Data mining.
Computer organization.
Artificial intelligence.
Application software.
Computer security.
Algorithms.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
Summary:This book constitutes revised and selected papers from the Second International Congress on High-Performance Computing and Big Data Analysis, TopHPC 2019, held in Tehran, Iran, in April 2019. The 37 full papers and 2 short papers presented in this volume were carefully reviewed and selected from a total of 103 submissions. The papers in the volume are organized acording to the following topical headings: deep learning; big data analytics; Internet of Things.- data mining, neural network and genetic algorithms; performance issuesand quantum computing.
Physical Description:XIV, 514 p. 192 illus., 151 illus. in color. online resource.
ISBN:9783030334956
ISSN:1865-0929 ;
DOI:10.1007/978-3-030-33495-6

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