Next generation of Exascale-class systems: ExaNeSt project and the status of its interconnect and storage development
Journal
Date Issued
2018
Author(s)
Katevenis, Manolis
•
Ammendola, Roberto
•
Biagioni, Andrea
•
Cretaro, Paolo
•
Frezza, Ottorino
•
Lo Cicero, Francesca
•
Lonardo, Alessandro
•
Martinelli, Michele
•
Paolucci, Pier Stanislao
•
Pastorelli, Elena
•
Simula, Francesco
•
Vicini, Piero
•
•
Pascual, Jose A.
•
Navaridas, Javier
•
Luján, Mikel
•
Goodacre, John
•
Lietzow, Bernd
•
Mouzakitis, Angelos
•
Chrysos, Nikolaos
•
Marazakis, Manolis
•
Gorlani, Paolo
•
Cozzini, Stefano
•
Brandino, Giuseppe Piero
•
Koutsourakis, Panagiotis
•
Ruth, Joeri van
•
Zhang, Ying
•
Kersten, Martin
Abstract
The ExaNeSt project started on December 2015 and is funded by EU H2020 research framework (call H2020-FETHPC-2014, n. 671553) to study the adoption of low-cost, Linux-based power-efficient 64-bit ARM processors clusters for Exascale-class systems. The ExaNeSt consortium pools partners with industrial and academic research expertise in storage, interconnects and applications that share a vision of an European Exascale-class supercomputer. The common goal is designing and implementing a physical rack prototype together with its cooling system, the non-volatile memory (NVM) architecture and a unified low-latency interconnect able to test different options for network and storage. Furthermore, the consortium goal is to provide real HPC applications to validate the system.
In this paper we describe the unified data and storage network architecture, reporting on the status of development of different testbeds and highlighting preliminary benchmark results obtained through the execution of scientific, engineering and data analytics scalable application kernels.
Volume
61
Start page
58
Issn Identifier
0141-9331
Rights
open.access
File(s)![Thumbnail Image]()
![Thumbnail Image]()
Loading...
Name
main_4.pdf
Description
postprint
Size
709.16 KB
Format
Adobe PDF
Checksum (MD5)
95c6bba6ede5c2b10b560a26893f3b9f
Loading...
Name
02.pdf
Description
Pdf editoriale
Size
3.39 MB
Format
Adobe PDF
Checksum (MD5)
94252d701f6eab01753a608aea5f605b
