Descripción del proyecto
Revolucionar el almacenamiento de datos en la informática a escala extrema y la inteligencia artificial
El panorama de la informática de alto rendimiento está evolucionando debido a las ingentes cantidades de datos generados por sensores, simulaciones e instrumentos de índole científica. A fin de almacenar, tratar y analizar eficientemente estos datos, las tecnologías de almacenamiento existentes deben adaptarse para lograr una mayor eficiencia. El proyecto Sage2, financiado con fondos europeos y basado en la plataforma SAGE, tiene como objetivo validar un sistema de almacenamiento de nueva generación que responda a los nuevos requisitos de los casos de uso en informática a escala extrema e inteligencia artificial/aprendizaje profundo. Esta avanzada infraestructura de almacenamiento mejorará el rendimiento científico, la escalabilidad, la eficiencia energética y temporal y la productividad general de desarrolladores y usuarios.
Objetivo
The landscape for High Performance Computing is changing with the proliferation of enormous volumes of data created by scientific instruments and sensors, in addition to data from simulations. This data needs to be stored, processed and analysed, and existing storage system technologies in the realm of extreme computing need to be adapted to achieve reasonable efficiency in achieving higher scientific throughput. We started on the journey to address this problem with the SAGE project. The HPC use cases and the technology ecosystem is now further evolving and there are new requirements and innovations that are brought to the forefront. It is extremely critical to address them today without “reinventing the wheel” leveraging existing initiatives and know-how to build the pieces of the Exascale puzzle as quickly and efficiently as we can.
The SAGE paradigm already provides a basic framework to address the extreme scale data aspects of High Performance Computing on the path to Exascale. Sage2 (Percipient StorAGe for Exascale Data Centric Computing 2) intends to validate a next generation storage system building on top of the already existing SAGE platform to address new use case requirements in the areas of extreme scale computing scientific workflows and AI/deep learning leveraging the latest developments in storage infrastructure software and storage technology ecosystem.
Sage2 aims to provide significantly enhanced scientific throughput, improved scalability, and, time & energy to solution for the use cases at scale. Sage2 will also dramatically increase the productivity of developers and users of these systems.
This proposal is aligned to FETHPC-02 - 2017:part (c). Sage2 provides a highly performant and resilient, QoS capable multi tiered storage system, with data layouts across the tiers managed by the Mero Object Store, which is capable of handling in-transit/in-situ processing of data within the storage system, accessible through the Clovis API.
Ámbito científico
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesbiological sciencesecologyecosystems
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwaresupercomputers
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-FETHPC-2017
Régimen de financiación
RIA - Research and Innovation actionCoordinador
PO9 1SA Havant
Reino Unido