Research Projects

ExaNeSt

European Exascale System Interconnect and Storage

Sector

HPC (High Performance Computing)

Product/Objective

ExaNeSt studies architectural solutions to store and share data in a unified manner.
A prototype of a physical platform and rack systems, needed to realize European exascale systems, are developed.

Project Summary

A solution to support industrial marketing and follow-up of exascale systems is developed following recommendations of the ETP4HPC roadmap.

The consortium collects technology and experience on the whole HPC process: applications, algorithms, operating systems, data-storage, HPC communication, packaging and system configuration, kernel tuning, data management and analysis of applications.

Innovation

An innovative high efficiency Exascale level calculator is modeled, simulated and validated through prototype.

The new system has the following peculiarities: high productivity, unified storage and distributed computing, low power consumption and complexity, limited maintenance and database management costs quality of Service guarantees and resilience, storage and distributed localization of computing elements anagement of I/O in order to alleviate congestion, low latency connectivity, which is foundamental for non-volatile memory, support for task-to-data sw; models, integration scheme for the Hyper-Density system: a commercial European modular cooling system for Exascale applications in ~ 200 rack that guarantees reliability and reduced operating costs.

ES Role

EnginSoft testes the ExaNest platform with various CAE applications which often require parallelism and big data management.

These applications are both commercial and Open Source and are dedicated to the most relevant computational science areas like mechanics, fluid-dynamics, fast dynamics and crash, metallurgy, process simulation, porous media, environmental engineering, off-shore engineering, acoustic analysis, process integration and design optimization (PIDO).

EnginSoft also assists the Foundation for Research and Technology Hellas in coordinating and administrating the project.

Partners

Allinea Software Ltd | EnginSoft Spa | eXact Lab Srl | Fraunhofer Institut | FOundation for Research and Technology Hellas (FORTH) | Iceotope | ISTITUTO NAZIONALE DI ASTROFISICA (INAF) | Istituto Nazionale di Fisica Nucleare (INFN) | Monet DB | Universitat Politecnica de Valencia | University of Manchester | Virtual Open Systems

Funding Scheme

Funding Scheme Horizon2020 | Call identifier H2020-FETHPC-2014

ExaNeSt

Project web site

Visit the website

Duration

42 months

Period

December 2015 - May 2019

Coordinator

FOundation for Research and Technology Hellas (FORTH)

Reference in EnginSoft

Gino Perna

Partners Number

12

Ask the Expert

Contact us!

Contact our R&D team for any information.

Ask for information

Find out more

Some of our competences in research and technology transfer

Research project

PreMANI

PREDICTIVE MANUFACTURING: design, development and implementation of Digital Manufacturing solutions for quality forecasting and intelligent maintenance

The PreMANI project aims to demonstrate the applicability of these techniques across disparate application domains, characterized by very different needs, by leveraging methodological aspects of a general nature.

Research project

SIADD

Soluzioni tecnologiche Innovative per la qualità e la sostenibilità dei processi di ADDitive manufacturing

The SIADD project aims to increase the manufacturing quality and sustainability of some additive manufacturing processes for metals, composite materials and multi-material metals/ composites, while also taking into account the personnel’s economic and environmental conditions and well-being.

Research project

OScaR

Optical SCAn-and-Repair solution for machine tools

The final goal of the project is to define a technology solution to repair metal components. End users require an automated or semi-automated solution for mounting a part of partially unknown shape into a machine, measuring the relevant part of its surface in 3D and automatically generating a repair program to restore it to the desired shape.