000900526 001__ 900526
000900526 005__ 20230207130648.0
000900526 0247_ $$2CORDIS$$aG:(EU-Grant)955811$$d955811
000900526 0247_ $$2CORDIS$$aG:(EU-Call)H2020-JTI-EuroHPC-2019-1$$dH2020-JTI-EuroHPC-2019-1
000900526 0247_ $$2originalID$$acorda__h2020::955811
000900526 035__ $$aG:(EU-Grant)955811
000900526 150__ $$aIO  Software for Exascale Architecture$$y2021-04-01 - 2024-03-31
000900526 372__ $$aH2020-JTI-EuroHPC-2019-1$$s2021-04-01$$t2024-03-31
000900526 450__ $$aIO-SEA$$wd$$y2021-04-01 - 2024-03-31
000900526 5101_ $$0I:(DE-588b)5098525-5$$2CORDIS$$aEuropean Union
000900526 680__ $$aIO-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.
000900526 909CO $$ooai:juser.fz-juelich.de:900526$$pauthority$$pauthority:GRANT
000900526 980__ $$aG
000900526 980__ $$aCORDIS
000900526 980__ $$aAUTHORITY