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LEADER Contents Machine learning with FPGAs


Bill Jenkins looks at the role of FPGA technology in machine learning


OpenMP 5.0 release


Matthijs van Waveren shares highlights of the latest iteration of the parallel computing API OpenMP


Scaling up computing capacity


Wim Slagter highlights the importance HPC for engineering simulation


Laboratory informatics Big data in biomedicine


Clare Sansom looks at the changing ways that scientists can use data


AI advances healthcare research


Sophia Ktori explores the role of AI and deep learning in healthcare


Data ecosystems in the cloud 24


Faisal Mushtaq explains the role of cloud informatics in overcoming the challenges associated with modern pharmaceutical R&D


Modelling and simulation Decentralised systems buck data-sharing trend


Adrian Giordani reports on the use of blockchain in the automotive industry


Intelligent optimisation


Gemma Church looks at the role of optimsation software in modern engineering practices


Suppliers directory


Editorial and administrative team Editor: Robert Roe robert.roe@europascience.com Managing editor: Tim Gillett editor.scw@europascience.com Specialist reporters: Sophia Ktori, Clare Sansom, Design: David Houghton, Zoë Andrews


Advertising team Advertising manager: Mike Nelson mike.nelson@europascience.com +44 (0) 1223 221039 Production manager: David Houghton david.houghton@europascience.com +44 (0) 1223 221034


Corporate team Managing director: Warren Clark


Scientific Computing World is published by Europa Science Ltd, 4 Signet Court, Cambridge, CB5 8LA l ISSN 1744-8026 Tel: +44 (0) 1223 211170 l Fax: +44 (0) 1223 213385 Web: www.researchinformation.info


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Subscriptions: Free registration is available to qualifying individuals. Register online at www.scientific-computing.com Subscriptions £180 a year for six issues to readers outside registration requirements. Single issue £20. Orders to ESL, SCW Circulation, 4 Signet Court, Swann Road, Cambridge, CB5 8LA, UK. Tel: +44 (0)1223 221 030. Fax: +44 (0)1223 213 385. ©2018 Europa Science Ltd.


Whilst every care has been taken in the compilation of this magazine, errors or omissions are not the responsibility of the publishers or of the editorial staff. Opinions expressed are not necessarily those of the publishers or editorial staff. All rights reserved. Unless specifically stated, goods or services mentioned are not formally endorsed by Europa Science Ltd, which does not guarantee or endorse or accept any liability for any goods and/or services featured in this publication.


US copies: Scientific Computing World (ISSN 1356-7853/USPS No 018-753) is published bi-monthly for £180 per year by Europa Science Ltd, and distributed in the USA by DSW, 75 Aberdeen Rd, Emigsville PA 17318-0437. Periodicals postage paid at Emigsville PA. Postmaster: Send address corrections to Scientific Computing World PO Box 437, Emigsville, PA 17318-0437.


Cover: Immersion Imagery/Shutterstock.com


Subscribe for free at www.scientific-computing.com/subscribe


www.scientific-computing.com | @scwmagazine 30 21 14 12 October/November 2018 l Issue 162


High performance computing Deep learning


Rob Farber looks at the impact that AI is having on HPC hardware and application development


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Robert Roe Editor


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AI boosts HPC This issue leads with coverage exploring the impact that AI and deep learning technology is having on HPC development. This has been a continuing theme throughout the year, as AI technology has been rising rapidly, both in performance and the number of applications using the technology. This is driving new users to start using HPC – they would not have done so just a few years ago.


In this issue we have a broad overview 18


of news and updates covering the HPC industry, starting on page 4 with Rob Farber’s piece on the impact of AI in computing and HPC. The theme of AI research continues on page 8 with Intel’s Bill Jenkins, who discusses the use of FPGAs in machine learning research. On page 12 we have an update on the OpenMP specification, which will be announced formally at SC18. Finally, we have an article looking at the creation of a free benchmark tool that demonstrates performance increase on a user’s model if they were to move to a HPC infrastructure. The laboratory informatics coverage


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starts on page 18, with an article from Clare Sansom on the use of big data in biomedicine. On page 21 Sophia Ktori explores the use of AI technology in healthcare in the first of a two-part series. We also have an article from Thermo’s


Faisal Mushtaq, which looks at the role of cloud-based informatics software and its use in modern pharmaceutical R&D. Modelling and simulation coverage begins with a feature from Adrian Giordani, on page 26, which highlights the use of blockchain in the automotive industry, with a particular focus on autonomous vehicles. On page 30, Gemma Church looks at the use of optimisation in modern engineering simulation.


@scwmagazine


SCIENTIFIC COMPUTING WORLD


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