Informace o projektu
IO Software for Exascale Architecture (IO-SEA)

Logo poskytovatele
Kód projektu
955811
Období řešení
4/2021 - 3/2024
Investor / Programový rámec / typ projektu
Evropská unie
Fakulta / Pracoviště MU
Středoevropský technologický institut
Spolupracující organizace
National University of Ireland
Johannes Gutenberg Universität
CEA
Forschungszentrum Julich GmbH
Royal Institute of Technology (KTH)
BULL SAS
Technická univerzita Ostrava
European Centre for Medium-Range Weather Forecasts (ECMWF)
Seagate Systems UK Limited

IO-SEA aims to provide a novel data management and storage platform for exascale computing based on hierarchical storage management (HSM) and on-demand provisioning of storage services. The platform will efficiently make use of storage tiers spanning NVMe and NVRAM at the top all the way down to tape-based technologies. System requirements are driven by data intensive use-cases, in a very strict co-design approach. The concept of ephemeral data nodes and data accessors is introduced that allow users to flexibly operate the system, using various well-known data access paradigms, such as POSIX namespaces, S3/Swift Interfaces, MPI-IO and other data formats and protocols. These ephemeral resources eliminate the problem of treating storage resources as static and unchanging system components – which is not a tenable proposition for data intensive exascale environments. The methods and techniques are applicable to exascale class data intensive applications and workflows that need to be deployed in highly heterogeneous computing environments.

Critical aspects of intelligent data placement are considered for extreme volumes of data. This ensures that the right resources among the storage tiers are used and accessed by data nodes as close as possible to compute nodes – optimising performance, cost, and energy at extreme scale. Advanced IO instrumentation and monitoring features will be developed to that effect leveraging the latest advancements in AI and machine learning to systematically analyse the telemetry records to make smart decisions on data placement. These ideas coupled with in-storage-computation remove unnecessary data movements within the system.

The IO-SEA project (EuroHPC-2019-1 topic b) has connections to the DEEP-SEA (topic d) and RED-SEA (topic c) project. It leverages technologies developed by the SAGE, SAGE2 and NextGEN-IO projects, and strengthens the TLR of the developed products and technologies.

Cíle udržitelného rozvoje

Masarykova univerzita se hlásí k cílům udržitelného rozvoje OSN, jejichž záměrem je do roku 2030 zlepšit podmínky a kvalitu života na naší planetě.

Cíl udržitelného rozvoje č.  3 – Zdraví a kvalitní život Cíl udržitelného rozvoje č.  4 – Kvalitní vzdělání Cíl udržitelného rozvoje č.  9 – Průmysl, inovace a infrastruktura Cíl udržitelného rozvoje č.  17 – Partnerství ke splnění cílů

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