ExaNeSt will develop, evaluate, and prototype the physical platform and architectural solution for a unified Communication and Storage Interconnect and the physical rack and environmental structures required to deliver European Exascale Systems. The consortium brings technology, skills, and knowledge across the entire value chain from computing IP to packaging and system deployment; and from operating systems, storage, and communication to HPC with big data management, algorithms, applications, and frameworks. Building on a decade of advanced R&D, ExaNeSt will deliver the solution that can support exascale deployment in the follow-up industrial commercialization phases. Using direction from the ETP4HPC roadmap and soon-available high density and efficiency compute, we will model, simulate, and validate through prototype, a system with:
1. High throughput, low latency connectivity, suitable for exascale-level compute, their storage, and I/O, with congestion mitigation, QoS guarantees, and resilience.
2. Support for distributed storage located with the compute elements providing low latency that non-volatile memories require, while reducing energy, complexity, and costs.
3. Support for task-to-data sw locality models to ensure minimum data communication energy overheads and property maintenance in databases.
4. Hyper-density system integration scheme that will develop a modular, commercial, European-sourced advanced cooling system for exascale in ~200 racks while maintaining reliability and cost of ownership.
5. The platform management scheme for big-data I/O to this resilient, unified distributed storage compute architecture.
6. Demonstrate the applicability of the platform for the complete spectrum of Big Data applications, e.g. from HPC simulations to Business Intelligence support.
All aspects will be steered and validated with the first-hand experience of HPC applications and experts, through kernel turning and subsequent data management and application analysis.
Field of science
- /natural sciences/computer and information sciences/databases
- /social sciences/economics and business
- /natural sciences/computer and information sciences/software/system software/operating systems
- /natural sciences/computer and information sciences/data science/big data
- /natural sciences/computer and information sciences/data science/business intelligence
Call for proposal
See other projects for this call
Funding SchemeRIA - Research and Innovation action
S60 5WG Rotherham
CV34 6UW Warwick
1098 XG Amsterdam
CB1 9NJ Cambridge