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      HPC, Big Data, and AI Convergence Towards Exascale
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      Book

      HPC, Big Data, and AI Convergence Towards Exascale

      DOI link for HPC, Big Data, and AI Convergence Towards Exascale

      HPC, Big Data, and AI Convergence Towards Exascale book

      Challenge and Vision

      HPC, Big Data, and AI Convergence Towards Exascale

      DOI link for HPC, Big Data, and AI Convergence Towards Exascale

      HPC, Big Data, and AI Convergence Towards Exascale book

      Challenge and Vision
      ByOlivier Terzo, Jan Martinovič
      Edition 1st Edition
      First Published 2022
      eBook Published 14 January 2022
      Pub. Location Boca Raton
      Imprint CRC Press
      DOI https://doi.org/10.1201/9781003176664
      Pages 322
      eBook ISBN 9781003176664
      Subjects Computer Science, Engineering & Technology
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      Terzo, O., & Martinovič, J. (2022). HPC, Big Data, and AI Convergence Towards Exascale: Challenge and Vision (1st ed.). CRC Press. https://doi.org/10.1201/9781003176664

      ABSTRACT

      HPC, Big Data, AI Convergence Towards Exascale provides an updated vision on the most advanced computing, storage, and interconnection technologies, that are at basis of convergence among the HPC, Cloud, Big Data, and artificial intelligence (AI) domains. Through the presentation of the solutions devised within recently founded H2020 European projects, this book provides an insight on challenges faced by integrating such technologies and in achieving performance and energy efficiency targets towards the exascale level. Emphasis is given to innovative ways of provisioning and managing resources, as well as monitoring their usage. Industrial and scientific use cases give to the reader practical examples of the needs for a cross-domain convergence.

       

      All the chapters in this book pave the road to new generation of technologies, support their development and, in addition, verify them on real-world problems. The readers will find this book useful because it provides an overview of currently available technologies that fit with the concept of unified Cloud-HPC-Big Data-AI applications and presents examples of their actual use in scientific and industrial applications.

      TABLE OF CONTENTS

      chapter 1|16 pages

      Toward the Convergence of High-Performance Computing, Cloud, and Big Data Domains

      ByMartin Golasowski, Jan Martinovič, Marc Levrier, Stephan Hachinger, Sophia Karagiorgou, Aikaterini Papapostolou, Spiros Mouzakitis, Ioannis Tsapelas, Monica Caballero, Marco Aldinucci, Jon Ander Gómez, Antony Chazapis, Jean-Thomas Acquaviva

      chapter 2|19 pages

      The LEXIS Platform for Distributed Workflow Execution and Data Management

      ByMartin Golasowski, Jan Martinovič, Jan Křenek, Kateřina Slaninová, Marc Levrier, Piyush Harsh, Marc Derquennes, Frédéric Donnat, Olivier Terzo

      Size: 4.01 MB

      chapter 3|22 pages

      Enabling the HPC and Artificial Intelligence Cross-Stack Convergence at the Exascale Level

      ByAlberto Scionti, Paolo Viviani, Giacomo Vitali, Chiara Vercellino, Olivier Terzo

      chapter 4|22 pages

      Data System and Data Management in a Federation of HPC/Cloud Centers

      ByJohannes Munke, Mohamad Hayek, Martin Golasowski, Rubén J. García-Hernández, Frédéric Donnat, Cédric Koch-Hofer, Philippe Couvee, Stephan Hachinger, Jan Martinovič

      Size: 0.95 MB

      chapter 5|23 pages

      Distributed HPC Resources Orchestration for Supporting Large-Scale Workflow Execution

      ByAlberto Scionti, Paolo Viviani, Giacomo Vitali, Chiara Vercellino, Olivier Terzo, Stephan Hachinger, Lukáš Vojacek, Václav Svatoň, Jan Křenek, Frédéric Donnat, François Exertier

      chapter 6|25 pages

      Advanced Engineering Platform Supporting CFD Simulations of Aeronautical Engine Critical Parts

      ByDonato Magarielli, Ennio Spano, Tommaso Fondelli, Daniele Pampaloni, Antonio Andreini, Paolo Savio, Michele Marconcini, Francesco Poli

      chapter 7|15 pages

      Event-Driven, Time-Constrained Workflows

      An Earthquake and Tsunami Pilot
      ByRubén J. García-Hernández, Thierry Goubier, Danijel Schorlemmer, Natalja Rakowsky, Sven Harig, Andrea Ajmar, Lorenza Bovio, Stephane Louise, Tomáš Martinovič

      chapter 8|18 pages

      Exploitation of Multiple Model Layers within LEXIS Weather and Climate Pilot

      An HPC-Based Approach
      ByPaola Mazzoglio, Emanuele Danovaro, Laurent Ganne, Andrea Parodi, Stephan Hachinger, Antonella Galizia, Antonio Parodi, Jan Martinovič

      chapter 9|26 pages

      Data Convergence for High-Performance Cloud

      ByChristian Pinto, Antony Chazapis, Christos Kozanitis, Yiannis Gkoufas, Panos Koutsovasilis, Srikumar Venugopal, Jean-Thomas Acquaviva, Angelos Bilas

      chapter 10|26 pages

      The DeepHealth HPC Infrastructure

      Leveraging Heterogenous HPC and Cloud-Computing Infrastructures for IA-Based Medical Solutions
      ByEduardo Quiñones, Jesus Perales, Jorge Ejarque, Asaf Badouh, Santiago Marco, Fabrice Auzanneau, François Galea, David González, José Ramón Hervás, Tatiana Silva, Iacopo Colonnelli, Barbara Cantalupo, Marco Aldinucci, Enzo Tartaglione, Rafael Tornero, José Flich, Jose Maria Martínez, David Rodriguez, Izan Catalán, Jorge Ejarque, Carles Hernández

      chapter 11|23 pages

      Applications of AI and HPC in the Health Domain

      ByDana Oniga, Barbara Cantalupo, Enzo Tartaglione, Daniele Perlo, Marco Grangetto, Marco Aldinucci, Federico Bolelli, Federico Pollastri, Michele Cancilla, Laura Canalini, Costantino Grana, Cristina Muñoz Alcalde, Franco Alberto Cardillo, Monica Florea

      chapter 12|15 pages

      CYBELE

      On the Convergence of HPC, Big Data Services, and AI Technologies
      BySophia Karagiorgou, Aikaterini Papapostolou, Zeginis Dimitris, Yannis Georgiou, Eugene Frimpong, Ioannis Tsapelas, Spiros Mouzakitis, Konstantinos Tarabanis

      chapter 13|18 pages

      CYBELE:

      A Hybrid Architecture of HPC and Big Data for AI Applications in Agriculture
      ByNaweiluo Zhou, Li Zhong, Dennis Hoppe, Branislav Pejak, Oskar Marko, Javier Cardona, Mikolaj Czerkawski, Ivan Andonovic, Craig Michie, Christos Tachtatzis, Emmanouil Alexakis, Philip Mavrepis, Dimosthenis Kyriazis, Marcin Pospieszny

      chapter 14|18 pages

      European Processor Initiative

      Europe's Approach to Exascale Computing
      ByMario Kovač, Jean-Marc Denis, Philippe Notton, Etienne Walter, Denis Dutoit, Frank Badstuebner, Stephan Stilkerich, Christian Feldmann, Benoît Dinechin, Renaud Stevens, Fabrizio Magugliani, Ricardo Chaves, Josip Knezović, Daniel Hofman, Mario Brčić, Katarina Vukušić, Agneza Krajna, Leon Dragić, Igor Piljić, Mate Kovač, Branimir Malnar, Alen Duspara
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