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Future Trends of HPC in a Disruptive Scenario [Pehme köide]

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  • Formaat: Paperback / softback, 284 pages
  • Sari: Advances in Parallel Computing
  • Ilmumisaeg: 29-Sep-2019
  • Kirjastus: IOS Press,US
  • ISBN-10: 1614999988
  • ISBN-13: 9781614999980
Teised raamatud teemal:
  • Formaat: Paperback / softback, 284 pages
  • Sari: Advances in Parallel Computing
  • Ilmumisaeg: 29-Sep-2019
  • Kirjastus: IOS Press,US
  • ISBN-10: 1614999988
  • ISBN-13: 9781614999980
Teised raamatud teemal:
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.
Preface v
Lucio Grandinetti
Gerhard Joubert
Kristel Michielsen
Seyedeh Leili Mirtaheri
Michela Taufer
Rio Yokota
Data Science
A High-Level Programming Library for Mining Social Media on HPC Systems
3(19)
Loris Belcastro
Fabrizio Marozzo
Domenico Talia
Paolo Trunfio
Where Optimization Meets Big Data: A Review
22(12)
Reza Shahbazian
Francesco Guerriero
Contributions to High-Performance Big Data Computing
34(48)
Geoffrey Fox
Judy Qiu
David Crandall
Gregor Von Laszewski
Oliver Beckstein
John Paden
Ioannis Paraskevakos
Shantenu Jha
Fusheng Wang
Madhav Marathe
Anil Vullikanti
Thomas Cheatham
Data Management for Extreme Scale In-situ Workflows
82(19)
Pradeep Subedi
Anthony Simonet
Philip E. Davis
Shaohua Duan
Zhe Wang
Manish Parashar
Quantum Computing
Simulation on and HPC Simulation of Quantum Computers and Quantum Annealers
101(19)
Kristel Michielsen
Neharika Chebrol
Fenging Jin
Hans De Raedt
Fundamental Limitations to the Scalability of Quantum Annealing Optimizers
120(13)
Tameem Albash
Victor Martin-Mayor
Itay Hen
From Ansatze to Z-Gates: A NASA View of Quantum Computing
133(30)
Eleanor G. Rieffel
Stuart Hadfield
Tad Hogg
Salvatore Mandrd
Jeffrey Marshall
Gianni Mossi
Bryan O'Gorman
Eugeniu Plamadeala
Norm M. Tubman
Davide Venturelli
Walter Vinci
Zhihui Wang
Max Wilson
Filip Wudarski
Rupak Biswas
High Performance Computing
The Upcoming Storm: The Implications of Increasing Core Count on Scalable System Software
163(20)
Matthew G.F. Dosanjh
Ryan E. Grant
Nathan Hjelm
Scott Levy
Whit Schonbein
First Draft of a Report on the Continuum Computer Architecture
183(23)
Thomas Sterling
Maciej Brodowicz
Matthew Anderson
Optimized Distributed Resource Management in Fog Computing by Using Ant-Colony Optimization
206(17)
Seyedeh Leili Mirtaheri
Hamid Reza Shirzad
Applications
Towards 3D Reconstruction of Neuronal Cell Distributions from Histological Human Brain Sections
223(17)
Timo Dickscheid
Sarah Haas
Sebastian Bludau
Philipp Glock
Marcel Huysegoms
Katrin Amunts
Dense Fiber Modeling for 3D-Polarized Light imaging Simulations
240(14)
Felix Matuschke
Kevin Ginsburger
Cyril Poupon
Katrin Amunts
Markus Axer
Methods and Techniques for Recognizing Emotions: Sentiment Analysis and Biosignal Analysis with Applications in Neurosciences
254(19)
Chiara Zucco
Barbara Calabrese
Mario Cannataro
Subject Index 273(2)
Author Index 275