Neovia has contributed to a number of documents within the projects in which it has been involved over the years. Find below the summaries of some of these publications:
EXDCI-2
Name:
D2.4 – Report on coordination of the technology research action in Europe
Date:
May 2020
Summary:
This report assesses the results of the European-funded FET-HPC projects and compares their outcomes with the recommendation of the European HPC Technology roadmap (SRA). The conclusion of the report is that FET-HPC projects have delivered a large set of IPs which represent an important asset for the entire European HPC community with many outcomes for the new European calls, CoEs and potential exploitation with the EPI project.
This report analyses and highlights the main challenges that are becoming more acute as the HPC technology and use is profoundly changing. The introduction of big data in the discovery process is driving applications to be implemented as large-scale distributed workflows that need to be deployed on a large set of systems, each one having its own idiosyncrasies (e.g. quantum accelerator) that questions the way applications are implemented. The report has presented to the European HPC Community the driving factors for this transformation and suggests ways to cope with these challenges.
Intertwined capabilities to form a complete processing chain
Name:
D4.2 – Mathematics, HPC and Machine Learning
Date:
August 2020
Summary:
The report outlines important pathways and topics for future mathematics in Europe and how mathematical research could be coupled with machine learning and HPC. The report concludes that: the European Research Council (ERC) should continue the main source of funding for mathematics; support should be pursued to structure the European mathematics community and place Europe at the forefront of the AI revolution; and that European efforts shall be conducted under a mathematical flagship project.
D4.4 – Study on HPC ecosystem performance assessment
Date:
February 2020
Summary:
This report is aligned with the impact assessment initiated for EXDCI, by analysing the EU HPC ecosystem. The report is aimed at enhancing and leveraging the methodology that has already been developed for data collection and Key Performance Indicators (KPI) tracking, as well as conserving a frequent impact assessment activity. The findings of the latest and final Progress Monitoring Report of the HPC Partnership are presented. Suggestions on the current impact of the programme on the EU HPC ecosystem and the related value chain are provided. The report concludes that the EuroHPC JU is now developing activities on infrastructures and on R&I aspects of HPC, and continuity of both implementation and impact assessment of the European HPC R&I is expected.
This report summarises the first technical workshop organised on September 28th, 2018, in Brussels in the scope of the EXDCI-2 project. All partners were invited to participate in this meeting, with the objective to exchange on various topics related to the project, share information on research challenges for the Exascale system and prepare coordinated actions.
D4.7 – Second report on EXDCI-2 technical workshop
Date:
May 2020
Summary:
This report presents the main elements of the second workshop organised in Barcelona on the 2nd and 3rd of December 2019. This workshop was aimed at sharing the work progress from all partners since the beginning of the project. The objective was also to discuss the elements of the future European HPC landscape, exchange on upcoming coordinated actions and provide a scientific and technical update. The workshop’s results lead to a renewed EXDCI-2 vision which addresses the new challenges of the European HPC ecosystem.
D5.1 – Report on the first international BDEC workshop
Date:
July 2019
Summary:
This report summarizes the Big Data and Extreme-scale Computing (BDEC) workshop which took place in Poznan (Poland) from the 14th to the 16th of May 2019. This workshop focuses on HPC and Big Data convergence with a global prospective view. The event was organised under the supervision of the EXDCI-2 project and in the scope of the EuroHPC Summit Week 2019 and gathered 51 participants from 15 different countries. Concentrating on coordination, prospective and networking aspects, the workshop resulted in the selection of two initial demonstrators that will pave the way for multiple application-specific exemplars.
Big data and extreme-scale computing: Pathways to Convergence -Toward a shaping strategy for a future software and data ecosystem for scientific inquiry
Date:
2018
Summary:
Over the last decade, the BDEC initiative organized a series of international workshops – in Europe, Asia and the U.S. – that aimed to explore the ways in which the new forms of data-centric discovery introduced by the ongoing revolution in high-end data analysis (HDA) might be integrated with the established, simulation-centric paradigm of the high-performance computing (HPC) community. These workshops resulted in this report addressing the convergence of research applications and workflows, the challenges involved with creating a converged infrastructure for peripheral environments, and the opportunities for software ecosystem convergence in large, centralized facilities.
D5.3 – Presence of Europe in HPC-HPDA standardisation and recommendations to promote European technologies
Date:
February 2020
Summary:
This report presents an assessment of the position of Europe in HPC with regard to standardisation organisations and suggests solutions to strengthen the power of European actors in the setting up of present or future HPC standards. This deliverable includes the results of the analysis, the solutions proposed, as well as interviews with European stakeholders. The report concludes that Europe can become a strong and active actor in HPC ecosystem and provides some guidelines to make Europe more competitive and sustainable in this domain.
Position of Europe in HPC language-oriented standard organisations
Name:
D6.1 – First report on dissemination activities
Date:
May 2019
Summary:
This report presents the activities carried out in the scope of dissemination activities for EXDCI-2 project. The project participated in several international events (e.g. EuroHPC Summit Week, Teratec Forum, ISC) which are presented in the report, as well as the outcomes of these events. The communication team focused on enhancing the project’s position within the HPC ecosystem through a large dissemination campaign of the project’s results. This mission was notably realised thanks to the creation of the project’s website, social media accounts (e.g. Twitter) and press releases.
D4.2 – Prototype of a numerical simulations performance prediction tool
Date:
July 2020
Summary:
A short YouTube video was created to demonstrate the concept of Predict-IT to the public. This prediction tool developed by the AQMO project allows for the definition of optimal parameters for numerical simulations in terms of cost and efficiency.
Name:
D4.3 – Exploitation Cost Model and Management Process for the Metropolis
Date:
January 2021
Summary:
The report focuses on the presentation of the AQMO platform and its components as well as its concrete application to the Rennes Metropolis, with the costs related to the operation of the platform. This deliverable includes the results of the project in Open formats, its follow-up actions and economic model. Indeed, one of AQMO’s objectives is to commercialize the platform as a service and create a national Air Quality simulation based on services developed by the project.
Full version:
This document is confidential.
The AQMO platform components
Name:
D7.4 – Report on the AQMO Workshop
Date:
January 2021
Summary:
The report presents the activities and efforts provided to organise a virtual workshop replacing the two-day event that was originally planned due to Covid-19 pandemic. This workshop was aimed at sharing the project’s progress with all partners, providing them with a demonstration of the platform and its results. The event took the form of a pre-recorded physical event in Rennes gathering few participants to respect sanitary conditions. This format allowed a livelier session that could be accessible to all project partners and published in February 2021.
AQMO workshop shooting at Whoorks in Rennes (France)
PHIDIAS
Name:
D1.7 – First report on scientific committee
Date:
August 2020
Summary:
This deliverable presents the activities related to the work of the Scientific and User Committee (SUC) from September 2019 to July 2020. The SUC is composed of a panel of experts from the HPC community providing guidance to PHIDIAS project on technical aspects, while empowering relations with international groups and organisations. The report presents the rules and procedures related to the SUC composition and President election, and includes the minutes of the first meeting held in July 2020.
The Data Management Plan describes the type of data that will be collected throughout the project, and how it will be treated and managed during and after the end of PHIDIAS project. This report can be used as a guide for data producers as it notably includes information about the publication, re-use, accessibility and governance of data. Specific parts detail the related legal and ethical aspects as well as the confidentiality of personal data collected, including copyrights and licensing matters.
Full version:
This document is confidential.
Name:
D7.1 – Communication, Stakeholder Dissemination plan (second version)
Date:
February 2020
Summary:
This report focuses both on internal communication within PHIDIAS Consortium and external communication for the first half of the project. The plan notably describes the considered strategy including communication tools used within the Consortium (e.g. mailing lists, shared workspace), as well as implemented actions regarding the project’s activities and results. Branding, promotion and events campaigns, social media accounts and the website are part of the communication and dissemination plan defined by PHIDIAS. This plan is aimed at fostering PHIDIAS’s visibility and empowering its network.
