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
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