<div><h3 class="t-margin-top-20"> Advanced memory system could bring exascale computing closer to reality</h3><p class="c-project-description__text" data-se="project_description"> The EU-funded IO-SEA project plans to provide a novel data management and storage platform for exascale computing based on object stores, hierarchical storage management and on-demand provisioning of storage services. The platform will efficiently make use of storage tiers, including non-volatile memory express (NVMe) and non-volatile random-access memory (NVRAM), all the way down to tape-based technologies. Use of ephemeral data nodes and data accessors should allow users to flexibly operate the system using various well-known data access paradigms. These ephemeral resources will eliminate the problem of treating storage resources and system components as static. The newly developed data management methods could be applied to data-intensive applications over exascale platforms.</p><h2>Objective</h2><p class="c-article__text">                                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.<br/><br/>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.<br/><br/>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.                            </p></div>

Io software for exascale architecture

Advanced memory system could bring exascale computing closer to reality The EU-funded IO-SEA project plans to provide a novel data management and storage platform for exascale computing based on object stores, hierarchical storage management and on-demand provisioning of storage services. The platform will efficiently make use of storage tiers, including non-volatile memory express NVMe and non-volatile random-access memory NVRAM, all the way down to tape-based technologies. Use of ephemeral data nodes and data accessors should allow users to flexibly operate the system using various well-known data access paradigms. These ephemeral resources will eliminate the problem of treating storage resources and system components as static. The newly developed data management methods could be applied to data-intensive applications over exascale platforms.Objective 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, S3Swift 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.

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