PROCESS ARCHITECTURE

Processing of exascale data faces common problems: extreme data sizes and data structure complexity.

-The use cases have confirmed the increasing requirements in terms of data storage and processing. At the same time, final users are demanding for adaptable and easy-to-use solutions.

-An architecture to tackle these demands and draw exascale data near users (SMES, researchers) is key for the success of the PROCESS project.

-The solution must be able to decouple access to the data from their use in computation and to provide simplified access to individual components of the data

APPROACH

- Scalability and modularity for high distribution and parallelism.

- Sub-modules to exploit heterogeneus resources for versatility.

- Containerisation, instead of virtual machines.

Reference exascale architecture

Selected technologies

MAIN FEATURES

- Modular software platform capable to handle exascale datasets

- Microservice infrastructure: customazible, based on independent elements

- Interaction through RESTfull APIs (mainly)

- Authentication by security tokens

STRUCTURE

- Virtualization layer

- Data services

- Computing services

REFERENCES



PUBLICATIONS

- Reference exascale architecture

- Heterogeneous exascale computing



DELIVERABLES

- D8.4 Final release (pending)

- D8.3 First packaged version of the PROCESS software

 

PROTOTYPE

 – (Pending)

 

Ground-breaking services prototypes and tools to speed-up uptake of future extreme scale data processing offerings aimed at boosting scientific progress and disruptive business innovation.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement 777533.

Tell us about your project

Maximilian Höb

PROCESS Coordinator

Miguel Saldaña

PROCESS Communication Manager

contact@process-project.eu

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