Sage2 - Percipient StorAGe for Exascale Data Centric Computing

The SAGE2 project is a collaboration between industry, data centres and research institutes demonstrating an exascale-ready system based on layered hierarchical storage and a novel object storage technology. The development of this system is based on a significant co-design exercise between all partners, with the research institutes having well established needs for exascale computing systems, both in terms of compute (exaFLOPS) and storage (exaBytes).In this paper we present an overview of the system design concepts and introduce some of the features of the object storage system which have the potential to make applications more efficient and simpler to use. The physical realisation of a prototype, hosted at Forschungszentrum Jülich is also detailed showing in detail the layered hierarchyWe also present a case study of applications which have already been ported, covering issues uncovered and how these have been addressed in the codesign proves. Finally, we look at how this suite of applications are being extended into different regimes including machine learning to address a wider range of use cases and how interfaces are being developed to allow integration with other architectures

SAGE: Percipient Storage for Exascale Data Centric Computing

We aim to implement a Big Data/Extreme Computing (BDEC) capable system infrastructure as we head towards the era of Exascale computing - termed SAGE (Percipient StorAGe for Exascale Data Centric Computing). The SAGE system will be capable of storing and processing immense volumes of data at the Exascale regime, and provide the capability for Exascale class applications to use such a storage infrastructure.SAGE addresses the increasing overlaps between Big Data Analysis and HPC in an era of next-generation data centric computing that has developed due to the proliferation of massive data sources, such as large, dispersed scientific instruments and sensors, whose data needs to be processed, analysed and integrated into simulations to derive scientific and innovative insights. Indeed, Exascale I/O, as a problem that has not been sufficiently dealt with for simulation codes, is appropriately addressed by the SAGE platform.The objective of this paper is to discuss the software architecture of the SAGE system and look at early results we have obtained employing some of its key methodologies, as the system continues to evolve

Legislative Documents

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