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Future trends of hpc in a disruptive...

Grandinetti, Lucio,

Future trends of hpc in a disruptive scenario

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Future trends of hpc in a disruptive scenarioLucio Grandinetti, Gerhard R. Joubert, Kristel Michielsen, Seyedeh Leili Mirtaheri, Michela Taufer, Rio Yokota.
其他作者:	Grandinetti, Lucio,
出版者:	Washington :IOS Press,2019.
面頁冊數:	1 online resource (viii, 275 p.)
標題:	High performance computingCongresses.
電子資源:	http://ebooks.windeal.com.tw/ios/cover.asp?isbn=9781614999980
ISBN:	9781614999997$q(ebk.)

Future trends of hpc in a disruptive scenario
Future trends of hpc in a disruptive scenario[electronic resource] /Lucio Grandinetti, Gerhard R. Joubert, Kristel Michielsen, Seyedeh Leili Mirtaheri, Michela Taufer, Rio Yokota. - Washington :IOS Press,2019. - 1 online resource (viii, 275 p.) - Advances in parallel computing,v. 3409275452 ;. - Advances in parallel computing ;v. 16..

Includes bibliographical references and indexes.

Intro; Title Page; Preface; Contents; Data Science; A High- Level Programming Library for Mining Social Media on HPC Systems; Where Optimization Meets Big Data: A Review; Contributions to High-Performance Big Data Computing; Data Management for Extreme Scale In-situ Workflows; Quantum Computing; Simulation on and HPC Simulation of Quantum Computers and Quantum Annealers; Fundamental Limitations to the Scalability of Quantum Annealing Optimizers; From Ansatze to Z-Gates: A NASA View of Quantum Computing; High Performance Computing

"The realization that the use of components off the shelf (COTS) could reduce costs sparked the evolution of the massive parallel computing systems available today. The main problem with such systems is the development of suitable operating systems, algorithms and application software that can utilise the potential processing power of large numbers of processors. As a result systems comprising millions of processors are still limited in the applications they can efficiently solve. Two alternative paradigms that may offer a solution to this problem are Quantum Computers (QC) and Brain Inspired Computers (BIC). This book presents papers from the 14th edition of the biennial international conference on High Performance Computing - From Clouds and Big Data to Exascale and Beyond, held in Cetraro, Italy, from 2 - 6 July 2018. It is divided into 4 sections covering data science, quantum computing, high-performance computing, and applications. The papers presented during the workshop covered a wide spectrum of topics on new developments in the rapidly evolving supercomputing field - including QC and BIC - and a selection of contributions presented at the workshop are included in this volume. In addition, two papers presented at a workshop on Brain Inspired Computing in 2017 and an overview of work related to data science executed by a number of universities in the USA, parts of which were presented at the 2018 and previous workshops, are also included. The book will be of interest to all those whose work involves high-performance computing"--

ISBN: 9781614999997$q(ebk.)

LCCN: 2019948335Subjects--Topical Terms:

384560
High performance computing
--Congresses.

LC Class. No.: QA76.88 / .F88 2019

Dewey Class. No.: 004/.35

Future trends of hpc in a disruptive scenario
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300 $a 1 online resource (viii, 275 p.)
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505 0 $a Intro; Title Page; Preface; Contents; Data Science; A High- Level Programming Library for Mining Social Media on HPC Systems; Where Optimization Meets Big Data: A Review; Contributions to High-Performance Big Data Computing; Data Management for Extreme Scale In-situ Workflows; Quantum Computing; Simulation on and HPC Simulation of Quantum Computers and Quantum Annealers; Fundamental Limitations to the Scalability of Quantum Annealing Optimizers; From Ansatze to Z-Gates: A NASA View of Quantum Computing; High Performance Computing
505 8 $a The Upcoming Storm: The Implications of Increasing Core Count on Scalable System SoftwareFirst Draft of a Report on the Continuum Computer Architecture; Optimized Distributed Resource Management in Fog Computing by Using Ant-Colony Optimization; Applications; Towards 3D Reconstruction of Neuronal Cell Distributions from Histological Human Brain Sections; Dense Fiber Modeling for 3D-Polarized Light Imaging Simulations; Methods and Techniques for Recognizing Emotions: Sentiment Analysis and Biosignal Analysis with Applications in Neurosciences; Subject Index; Author Index
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