ISGC2021 - (other isgc conferences)
22-26 March 2021
Academia Sinica Computing Centre (ASGC), Taipei, Taiwan Website: https://indico4.twgrid.org/indico/event/14/overview
published October 22, 2021
Academia Sinica Computing Centre (ASGC), Taipei, Taiwan Website: https://indico4.twgrid.org/indico/event/14/overview
published October 22, 2021
Theme of ISGC 2021 is "Challenges in High Performance Data Analytics: Combining Approaches in HPC, HTC, Big Data and AI".
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.
Even we have to meet virtually, the goal of ISGC 2021 is still to offer a platform where individual communities and national representatives can present and share their contributions to the global puzzle and contribute thus to the solution of global challenge.
EDITORIAL BOARD
- Kento Aida, National Institute of Informatics, JP
- 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, EGI.eu, NL
- Simon C. Lin, Academia Sinica Grid Computing Centre, TW
- Tomoaki Nakamura, KEK, JP
- Jim Shyu, Chinese Culture University, TW
- Junichi Tanaka, University of Tokyo, JP
- Andrea Valassi, CERN, CH
- Alexander Voss, Univ, of St. Andrews, UK
- Eric Yen, Academia Sinica, TW
Editorial Board
- Ludek Matyska
CESNET, CZ
| Converging High Performance infrastructures: Supercomputers, clouds, accelerators |
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A possible solution for HEP processing on network secluded Computing Nodes
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Enabling HPC systems for HEP: the INFN-CINECA Experience
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HPC-Cloud-Big Data Convergent Architectures and Research Data Management: The LEXIS Approach
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Deep Learning fast inference on FPGA for CMS Muon Level-1 Trigger studies
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Architecture of Job Scheduling Simulator for Demand Response Based Resource Provisioning
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Scalable computing in Java with PCJ Library. Improved collective operations
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| Data Management & Big Data |
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A Big Data Platform for heterogeneous data collection and analysis in large-scale data centres
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Reinforcement Learning for Smart Caching at the CMS experiment
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| Earth/Environmental Sciences Applications |
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Air quality predictions of Ulaanbaatar using machine learning approach
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Performance estimation of deep learning methods for change detection on satellite images with a low-power GPU
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A new method for geomorphological studies and land cover classification using Machine Learning techniques
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| Humanities, Arts & Social Sciences Applications |
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Serious Game Design For Playful Exploratory Urban Simulation
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Machine Learning Infrastructure on the Frontier of Virtual Unwrapping
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Concept of the Social Design in Public Spaces Practice – cases of Berlin and Taipei
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Some study results of color changes depending on Mongolian environmental condition
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Piloting Data Science Learning Platforms through the Development of Cloud-based interactive Digital Computational Notebooks
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Exploring the awareness of health and life promotion from the differences in the lifestyles of young people before and during the epidemic
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| Infrastructure Clouds and Virtualisation |
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Machine Learning as a Service for High Energy Physics on heterogeneous computing resources
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Distributed filesystems (GPFS, CephFS and Lustre-ZFS) deployment on Kubernetes/Docker clusters
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Optimization of ICT Common Wealth Planning and Sharing based on Organic Economic Ecology and Theory of Knowledge Value Transformation ~ on case of open collaboration Framework
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| Network, Security, Infrastructure & Operations |
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Application of OMAT in HTCONDOR resource management
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Feasibility study on MPTCP ACK via alternative path in real network environment
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A comprehensive security operation center based on big data analytics and threat intelligence
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Making Identity Assurance and Authentication Strength Work for Federated Infrastructures
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| Physics & Engineering Applications |
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Using Natural Language Processing to Extract Information from Unstructured code-change version control data: lessons learned
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