The annual ISGC virtual conference will be held from 21 to 25 March of 2022.  While the research data are becoming a real asset nowadays, it is an information and knowledge gained through thorough analysis that makes them so valuable. To process vast amounts of data collected, novel high performance data analytics methods and tools are needed, combining classical simulation oriented approaches, big data processing and advanced AI methods. Such a combination is not straightforward and needs novel insights at all levels of the computing environment – from the network and hardware fabrics through the operating systems and middleware to the platforms and software, not forgetting the security – to support data oriented research. Challenging use cases that apply difficult scientific problems are necessary to properly drive the evolution and also to validate such high performance data analytics environments.

EDITORIAL BOARD

• Kento Aida, National Institute of Informatics, JP
• Jim Basney, Illinois University at Urbana-Champaign, USA
• Daniele Bonacorsi, University of Bologna, IT
• Alexandre M.J.J Bonvin, Utrecht University, NL
• Yuan-Hann Chang, Academia Sinica & National Central University, TW
• Arthur Ya-Ning Chen, Tamkang University, TW
• Gang Chen, IHEP, CAS, CN
• Patrick Fuhrmann, DESY, DE
• David Groep, NIKHEF, NL
• Mark Hedges, King’s College London, UK
• Bor-Shouh Huang, Academia Sinica, TW
• David Kelsey, STFC-RAL, UK
• Dieter Kranzlmuller, LMU Munich, DE
• Yannick Legre, OPERAS, BE
• Simon C. Lin, Academia Sinica Grid Computing Centre, TW
• Ludek Matyska, CESNET, CZ
• Tomoaki Nakamura, KEK, JP
• Jim Shyu, Chinese Culture University, TW
• Junichi Tanaka, University of Tokyo, JP
• Andrea Valassi, CERN, CH
• Von Welch, Indiana University, USA
• Eric Yen, Academia Sinica, TW

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