The SAGE Project: a Storage Centric Approach for Exascale Computing
Sai Narasimhamurthy, Nikita Danilov, Sining Wu, Ganesan, Umanesan, Steven Wei-der Chien, Sergio Rivas-Gomez, Ivy Bo Peng and, Erwin Laure, Shaun de Witt, Dirk Pleiter, Stefano Markidis

TL;DR
The SAGE project introduces a storage-centric infrastructure for exascale computing that integrates diverse storage technologies and software to handle massive data volumes for scientific analysis and simulations.
Contribution
It presents the design, implementation, and software architecture of a storage-centric exascale system, including a prototype at Julich Supercomputing Center.
Findings
Prototype system successfully implemented and installed.
Multi-tier storage hierarchy with diverse technologies.
Software architecture supports large-scale data processing.
Abstract
SAGE (Percipient StorAGe for Exascale Data Centric Computing) is a European Commission funded project towards the era of Exascale computing. Its goal is to design and implement a Big Data/Extreme Computing (BDEC) capable infrastructure with associated software stack. The SAGE system follows a "storage centric" approach as it is capable of storing and processing large data volumes at the Exascale regime. SAGE addresses the convergence of Big Data Analysis and HPC in an era of next-generation data centric computing. This convergence is driven by the proliferation of massive data sources, such as large, dispersed scientific instruments and sensors where data needs to be processed, analyzed and integrated into simulations to derive scientific and innovative insights. A first prototype of the SAGE system has been been implemented and installed at the Julich Supercomputing Center. The SAGE…
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