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ExaNeSt

Title
European Exascale System Interconnect and Storage
Funding
EC | H2020 | RIA
Call
H2020-FETHPC-2014
Contract (GA) number
671553
Start Date
2015/12/01
End Date
2018/11/30
Open Access mandate
yes
Data Pilot
yes
Organizations
UMAN, ALLINEA, MDBS, ICE, VOSYS, EXACT, Fraunhofer, FORTH, INFN, INAF, UPV, ES
More information
Detailed project information (CORDIS)

 

  • Accurately Modeling a Photonic NoC in a Detailed CMP Simulation Framework

    Puche Lara, José; Lechago Buendia, Sergio; Petit Martí, Salvador Vicente; Gómez Requena, María Engracia; Sahuquillo Borrás, Julio (2016)
    Projects: EC | ExaNeSt (671553)
    © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Photonic interconnects are a promising solution for the so-called communication bottleneck in current Chip Mul...

    Presentation of the ExaNeSt project at the European HPC Summit Week 2016

    Manolis Katevenis (2016)
    Projects: EC | ExaNeSt (671553)
    ExaNeSt in 8 slides: Presentation of the ExaNeSt project at the European HPC Summit Week 2016; Prague, Czech Republic, 10 May 2016.

    "Census of the Applications", ExaNeSt project Deliverable D2.1

    ExaNeSt Consortium (2016)
    Projects: EC | ExaNeSt (671553)
    In this document, a survey of scientific and technical applications that could be potentially used in the ExaNeSt project are presented and discussed. The applications are playing a central role in ExaNeSt: they are used to identify a set of initial requirements for the design of the platform, and then they are also used to test the infrastructure during all the implementation phases. The selected applications represent the state of the art of HPC computing in different disciplines: Astro...

    ExaNeSt Poster at the HiPEAC 2017 Conference

    FORTH; Allinea; EngiinSoft; eXact Labs; Fraunhofer; Iceotope; INFN; INAF; MonetDB Solutions; University of Manchester; University of Valenica; Virtual Open Systems (2017)
    Projects: EC | ExaNeSt (671553)
    This poster describes the ExaNeSt project. It has been presented during the HiPEAC 2017 Conference, Stockholm, Sweden, 25 January 2017.

    ExaNeSt Poster at the HiPEAC 2016 Conference

    ExaNeSt Consortium (2017)
    Projects: EC | ExaNeSt (671553)
    This poster aims at introducing the ExaNeSt project. It has been presented during the HiPEAC 2016 Conference, Prague, Czech Republic, 20 January 2016.

    "Implementation Notes for the Storage and Data Access Infrastructure", ExaNeSt project Deliverable D4.3

    ExaNeSt Consortium (2017)
    Projects: EC | ExaNeSt (671553)
    In this deliverable of WP4, D4.3 “Implementation Notes for the Storage and Data Access Infrastructure”, we describe the implementation of each software component and tool that was specified in deliverable D4.2: Extensions and enhancements to the common I/O path in Linux with focus on two key areas: (i) supporting protected access to storage devices from user space, i.e. direct access to storage with minimal kernel related overheads; and (ii) enhancements to the access path for memory-m...

    Designing an Exascale Interconnect using Multi-objective Optimization

    Jose A. Pascual; Joshua Lant; Andrew Attwood; Caroline Concatto; Javier Navaridas; Mikel Lujan; John Goodacre (2017)
    Projects: EC | ExaNeSt (671553)
    Exascale performance will be delivered by systems composed of millions of interconnected computing cores. The way these computing elements are connected with each other (network topology) has a strong impact on many performance characteristics. In this work we propose a multi-objective optimizationbased framework to explore possible network topologies to be implemented in the EU-funded ExaNeSt project. The modular design of this system’s interconnect provides great flexibility to design to...

    Accurately Modeling a Photonic NoC in a Detailed CMP Simulation Framework

    Jose Puche; Sergio Lechago; Salvador Petit; Maria E. Gomez; Julio Sahuquillo (2016)
    Projects: EC | ExaNeSt (671553)
    Photonic interconnects are a promising solution for the so-called communication bottleneck in current Chip Multiprocessor (CMPs) architectures. This technology presents an inherent low-latency and power consumption almost independent of communication distance, which are really desirable features in future Networks on Chip for next CMPs generations. However, since nanophotonic technology is still growing and therefore in an immature state, current simulators of detailed systems may not provide...

    Lightweight and Generic RDMA Engine Para-Virtualization for the KVM Hypervisor

    Angelos Mouzakitis; Christian Pinto; Nikolay Nikolaev; Alvise Rigo; Daniel Raho; Babis Aronis; Manolis Marazakis (2017)
    Projects: EC | ExaNeSt (671553)
    Remote DMA (RDMA) engines are widely used in clusters/data-centres to improve the performance of data transfers between applications running on different nodes of a computing system. RDMAs are today supported by most network architectures and distributed programming models. However, with the massive usage of virtualization most applications will use RDMAs from virtual machines, and the virtualization of such I/O devices poses several challenges. This paper describes a generic para-virtualizat...

    Modeling a Photonic Network for Exascale Computing

    Jose Duro; Salvador Petit; Julio Sahuquillo; Maria E. Gomez (2017)
    Projects: EC | ExaNeSt (671553)
    Photonics technology has become a promising and viable alternative for both on-chip and off-chip computer networks of future Exascale systems. Nevertheless, this technology is not mature enough yet in this context, so research efforts focusing on photonic networks are still required to achieve realistic suitable network implementations. In this context, system-level photonic network simulators can help to guide designers to assess the multiple design choices. Most current research is done...
  • Exanest Exactlab Data Traffic Produced By Lammps Application

    The eXactLab ExaNeSt Team (2017)
    Publisher: Zenodo
    Projects: EC | ExaNeSt (671553)
    LAMMPS is a classical molecular dynamics code that models an ensemble of particles in a liquid, solid, or gaseous state. It can model atomic, polymeric, biological, metallic, granular, and coarse-grained systems using a variety of force fields and boundary conditions This dataset is comprised of traces obtained from application LAMMPS by processing the otf2 output produced by the SCALASCA utility once the LAMMPS code has been instrumented. Specifically, five variants of LAMMPS have been analy...

    Exanest Exactlab Data Traffic Produced By Regcm Application

    The eXactLab ExaNeSt Team (2017)
    Publisher: Zenodo
    Projects: EC | ExaNeSt (671553)
    RegCM4 is a regional climate model based on the concept of one-way nesting, in which large scale meteorological fields from a Global Climatic Model (GCM) run provide initial and time-dependent meteorological boundary conditions for high resolution simulations without any active feedback. This dataset is comprised of traces obtained from application REGCM by processing the otf2 output produced by the SCALASCA utility once the REGCM code has been instrumented. The otf2 data have been processed ...

    Εxanest Infn Data Traffic Produced By Proprietary Dpsnn Application

    Pastorelli E.; Simula F.; Paolucci P.S; and the INFN ExaNeSt team (2017)
    Publisher: Zenodo
    Projects: EC | HBP SGA1 (720270), EC | ExaNeSt (671553)
    DPSNN-STDP is a natively distributed mini-application benchmark representative of plastic spiking neural network simulators. Processes describe synapses in input to cluster of neurons with an irregular interconnection topology, with complex inter-process traffic patterns broadly varying in time and per process. This dataset is comprised of textual data set describing all the details of the inter-processor communication for five different neural network configurations. Each file contains a 3D ...
  • Scientific Results

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    PUBLICATIONS BY ACCESS MODE

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    Publications in Repositories

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