Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI

Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI PDF Author: Jeffrey Nichols
Publisher: Springer Nature
ISBN: 3030633934
Category : Computers
Languages : en
Pages : 555

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Book Description
This book constitutes the revised selected papers of the 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, held in Oak Ridge, TN, USA*, in August 2020. The 36 full papers and 1 short paper presented were carefully reviewed and selected from a total of 94 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; system software: data infrastructure and life cycle; experimental/observational applications: use cases that drive requirements for AI and HPC convergence; deploying computation: on the road to a converged ecosystem; scientific data challenges. *The conference was held virtually due to the COVID-19 pandemic.

Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI

Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI PDF Author: Jeffrey Nichols
Publisher: Springer Nature
ISBN: 3030633934
Category : Computers
Languages : en
Pages : 555

Get Book

Book Description
This book constitutes the revised selected papers of the 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, held in Oak Ridge, TN, USA*, in August 2020. The 36 full papers and 1 short paper presented were carefully reviewed and selected from a total of 94 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; system software: data infrastructure and life cycle; experimental/observational applications: use cases that drive requirements for AI and HPC convergence; deploying computation: on the road to a converged ecosystem; scientific data challenges. *The conference was held virtually due to the COVID-19 pandemic.

Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation

Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation PDF Author: Jeffrey Nichols
Publisher: Springer Nature
ISBN: 3030964981
Category : Computers
Languages : en
Pages : 474

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Book Description
This book constitutes the revised selected papers of the 21st Smoky Mountains Computational Sciences and Engineering Conference, SMC 2021, held in Oak Ridge, TN, USA*, in October 2021. The 33 full papers and 3 short papers presented were carefully reviewed and selected from a total of 88 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; advanced computing applications: use cases that combine multiple aspects of data and modeling; advanced computing systems and software: connecting instruments from edge to supercomputers; deploying advanced computing platforms: on the road to a converged ecosystem; scientific data challenges. *The conference was held virtually due to the COVID-19 pandemic.

HPC, Big Data, and AI Convergence Towards Exascale

HPC, Big Data, and AI Convergence Towards Exascale PDF Author: Olivier Terzo
Publisher: CRC Press
ISBN: 9781032009841
Category : Artificial intelligence
Languages : en
Pages : 294

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Book Description
This book 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 AI domains. It gives an insight on challenges faced by integrating such technologies and in achieving performance targets towards the exascale level.

Future Trends of HPC in a Disruptive Scenario

Future Trends of HPC in a Disruptive Scenario PDF Author: L. Grandinetti
Publisher: IOS Press
ISBN: 1614999996
Category : Computers
Languages : en
Pages : 286

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Book Description
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.

Artificial Intelligence in Science Challenges, Opportunities and the Future of Research

Artificial Intelligence in Science Challenges, Opportunities and the Future of Research PDF Author: OECD
Publisher: OECD Publishing
ISBN: 9264446214
Category :
Languages : en
Pages : 300

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Book Description
The rapid advances of artificial intelligence (AI) in recent years have led to numerous creative applications in science. Accelerating the productivity of science could be the most economically and socially valuable of all the uses of AI.

Bildung in der digitalen Transformation

Bildung in der digitalen Transformation PDF Author: Heinz-Werner Wollersheim
Publisher:
ISBN: 9783830944560
Category :
Languages : de
Pages : 330

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Book Description