MRSEI Fennec

FastEr NaNo-Characterisation

L’objectif du projet FENNEC de l’ANR-MRSEI est de faciliter le montage d’un projet pour l’appel DT-NMBP-08-2019 intitulé « Real-time nano-characterisation technologies (RIA) ». La caractérisation à l’échelle nanométrique permet d’avoir des informations uniques sur la structuration et les propriétés des matériaux et des dispositifs mais nécessite une expérience pointue dépendant des matériaux envisagés, des temps d’acquisition, de dépouillement et d’analyse, incompatibles avec les contraintes d’une ligne de production industrielle. Cet appel souhaite réduire d’abord ces différentes contraintes notamment en accélérant l’acquisition et l’analyse des données instrumentales. Il veut aussi pouvoir valoriser plus facilement les résultats de nano-caractérisations avancées.

Start Date: 2018, August 1st

Duration: 24 months

Leader: T. Deutsch (CEA/MEM)

Avalon Members: C. Perez, E. Caron

Associated joint team between Avalon and RDI2 Lab. in Rutgers University

  Associated joint team between Avalon and RDI2 Lab. in Rutgers University on   Sustainable Ultra Scale compuTing, dAta and energy Management

The collaboration proposed by the SUSTAM associate team focuses on aspects of sustainability in ultra-scale systems. Launched in 2017, the SUSTAM associated team aims to design a multi-criteria orchestration framework that manages resources, data and energy consumption in an efficient manner. The SUSTAM associate team will enable a long-term collaboration between the Inria Avalon and the RDI² team (Rutgers University . It will allow the teams to coordinate efforts and pursue common research activities in topics such as sustainable software solutions, resource and big-data management, elasticity of stream and batch applications, and energy efficiency. The involved members will contribute to the design of a common architecture and framework with components and algorithms adapted to various contexts.

Web Site: http://avalon.ens-lyon.fr/sustam/

Performance, Maintainability and Scalability of In-Silico Experimental Evolution Simulation (PMSISEE)

Overview

The goal of PMSISEE is to support the collaboration between the Avalon (LIP) and Beagle (LIRIS) teams through research activities on programming modelsand tools for HPC applied to the Aevol/R-Aevol simulator of in silico evolution of bacteria.

Scientific objective

A population of organisms adapting to a new environment is a dynamic system changing over time at many levels (molecules, networks, individuals, ecosystems). A large amount of empirical and theoretical evidence indicates that in real populations all these levels interact, making the dynamics of adaptation a highly complex phenomenon. In order to understand bacterial evolution, we need large-scale integrative models in which all relevant levels from the molecule to the ecology are simulated. The Aevol/R-Aevol simulator (http://www.aevol.fr) has been developed by the Beagle team to address such questions. Aevol integrates the molecular and cellular levels to address the evolution of genomic complexity. R-Aevol adds the network level to investigate the evolution of network complexity.

Challenges

In this project we consider the Aevol/R-Aevol simulator, or equivalent code, as the object of the study. At a first glance, it is characterized by several properties: the code is complex due the models to integrate; the amount of computational resources required for simulations is huge when considering the size of the systems (millions of base pairs in the genome, thousands of genes in the genetic network, billions of individuals in the population, billions of generations); load unbalance occurs when running the models under different conditions ( i.e., different parameters). Any gain in performance, will make these simulations very valuable to understand bacterial evolution and to have feedback on the biological models in order to improve them.

The research during the PMSISEE project will be restricted to two main issues related to the software and its algorithms: 1/ analysis and design of specialized models to tackle software complexity in the context of HPC using next generation of parallel supercomputers. This point is based on advances in software engineering of these last twenty years in particular with respect to code composability and re-use using component model; 2/ performance analysis and design of new, or improvement of existing, algorithms for scalable and efficient simulation of evolving bacterial populations on modern parallel architecture. This axis will deal with heuristics for scheduling in order to well balance the work load and reducing communication.

Duration: 2017-2019

vHGW (virtual Home Gateway) project

vHGW (virtual Home Gateway) or how to save energy by running thousands of HGs on one server.vHGW project

According to the current studies, the telecom infrastructure is the major contributor for the ever increasing energy demand in the ICT sector and has a major part on carbon footprint to the environment. And surprisingly, more than 80% of this share is consumed by the Home Gateways (HGs).

Hence, in this preliminary work, we have explored the possibility of relocating some of the functionalities of a HG into a vHGW (virtual Home Gateway) which is hosted by a node located in NSP premises. Based on our experiment, it was possible to host up to 1000 vHGWs on a single server machine which consumes around 100W. And our result showed that the number of vHGWs hosted on server machine does not have a significant variation on its energy consumption. We have also confirmed that the capability of a vHGW’s in the provision of the network and application level services such as, routing, DHCP, firewalling and NAT, alike HG’s.

If we consider a replacement of the current HG by a quasi passive device (which can consume around 1Watt) and if we suppose that end users have triple play services over a fiber link (FTTH). By pulling those network and application level services into a vHGW and using a server machine that can host around a 1000 vHGW’s (and probably more in a near future), we can obtain about 300% energy saving in the overall wire line telecom networks. Therefore, the result of our experiment is aligned to and complies with the recommendation set by the GreenTouch project (http://greentouch.org).

Hence, the result of this study shows the benefit of service relocation of HG’s by reducing significantly the overall energy consumption of a wire line network, and minimizing the sector’s impact on the environment.

For more information about this research work. please visit vHGW Web page.

Inria Project Lab Discovery

Distributed and COoperative management of Virtual Environments autonomousLY

The DISCOVERY initiative aims at exploring a new way of operating Utility Computing (UC) resources.

To accommodate the ever-increasing demand for Utility Computing (UC) resources, while taking into account both energy and economical issues, the current trend consists in building larger and larger data centers in a few strategic locations. Although such an approach enables UC providers to cope with the actual demand while continuing to operate UC resources through centralized software system, it is far from delivering sustainable and efficient UC infrastructures. We claim that a disruptive change in UC infrastructures is required: UC resources should be managed differently, considering locality as a primary concern. To this aim, we propose to leverage any facilities available through the Internet in order to deliver widely distributed UC platforms that can better match the geographical dispersal of users as well as the unending demand. Critical to the emergence of such locality-based UC (LUC) platforms is the availability of appropriate operating mechanisms. We advocate the implementation of a unified system driving the use of resources at an unprecedented scale by turning a complex and diverse infrastructure into a collection of abstracted computing facilities that is both easy to operate and reliable.

Start Date: January 2015

Duration: 4 years

Avalon Members: J. Darrous, G. Fedak, C. Perez

More information on Discovery website

Inria Project Lab C2S@Exa

Computer and Computational Sciences at Exascale INRIA Large Scale Initiative

The C2S@Exa INRIA large-scale initiative is concerned with the development of numerical modeling methodologies that fully exploit the processing capabilities of modern massively parallel architectures in the context of a number of selected applications related to important scientific and technological challenges for the quality and the security of life in our society. Avalon is a core-team member, co-leading Pole 4 on Programming models.

Start Date: 2013

Duration: 4 years

Avalon Members: T. Gautier, C. Perez, J. Richard

More information on C2S@Exa website

PIA ELCI

ELCI is a French software project that brings together academic and industrial partners to design and provide a software environment for the next generation of HPC systems. The principal objective for the project is to facilitate the development of a software environment that meets the demands of the new generation of HPC architectures. This will cover the whole software stack (system and programming environments), numerical solvers and pre/post/co processing software.
ELCI is a French software project that brings together academic and industrial partners to design and provide a software environment for the next generation of HPC systems. The project is funded by the participating partners and by the French FSN “Fond pour la Société Numérique”.

The principal objective for the project is to facilitate the development of a software environment that meets the demands of the new generation of HPC architectures. This will cover the whole software stack (system and programming environments), numerical solvers and pre/post/co processing software.

A co-design approach is employed, that covers the software environment for computer architectures, the requirements of more demanding applications, and is adapted to future hardware architectures (multicore/many core processors, high-speed networks and data storage).

These developments will be validated according to their capacity to deal with the new exascale challenges- larger scalability, higher resiliency, greater security, improved modularity, with better abstraction and interactivity for application cases.

Start Date: September 2014

Duration: 3 years

Avalon Members: T. Gautier, L.Lefevre, C. Perez, I. Rais, J. Richard

More information on the ELCI web site.

LEXISTEMS

LEXISTEMS develops Xact.ai, a solution to provide an universal access to knowledge in Natual Langage (data & data’s structuration limitless).

For organizations, Xact.ai is the most effective way to monetize data assets. Whatever the nature and volume of knowledge bases.

LEXISTEMS’ solutions streamline the use and analysis of natural language in business and personal applications.
A new era is opening. Users are empowered, and organizations leverage the true value of their data assets.

LEXISTEMS and Avalon collaborate on the design and development of NLP algorithms and high-level data structuration.

 

Start Date: September 2016

Duration:

Avalon Members: Marcos Assuncao, Eddy Caron and Thomas Pellisier-Tanon

More information on website: LEXISTEMS

CeoE H2020 POP

Summary

Inaugurated October 1, 2015, the new EU H2020 Center of Excellence (CoE) for Performance Optimisation and Productivity (POP) provides performance optimisation and productivity services for academic and industrial codes. European’s leading experts from the High Performance Computing field will help application developers getting a precise understanding of application and system behaviour. This project is supported by the European Commission under H2020 Grant Agreement No. 676553

Established codes, but especially codes never undergone any analysis or performance tuning, may profit from the expertise of the POP services which use latest state-of-the-art tools to detect and locate bottlenecks in applications, suggest possible code improvements, and may even help by Proof-of-Concept experiments and mock-up test for customer codes on their own platforms.

Partners

Barcelona Supercomputing Centre (BSC), High Performance Computing Center Stuttgart of the University of Stuttgart (HLRS), Jülich Supercomputing Centre (JSC), Numerical Algorithm Group (NAG), Rheinisch-Westfälische Technische Hochschule Aachen (RWTH), TERATEC (TERATEC).

Project Information

Start Date: October 2015

Duration: 3 years

Avalon Members:

Online Resources

More information on http://www.pop-coe.eu

Labex PRIMES

Laboratory of Excellence on Physics, Radiobiology, Medical Imaging, and Simulation

The program Laboratory of Excellence (LabEx) aims to endow with significant means a set of research units in order to attract world-renowned researchers and to establish a high-level and integrated politic of research, training and valorization. The ambition of this program is to develop scientific originality, to favor multidisciplinary, to increase the excellence and the international visibility of the French research and to play a driving role into the training of both doctorate and master levels.

PRIMES’s (Physics, Radiobiology, Medical Imaging, and Simulation) primary objective is to develop new concepts and methods for the exploration, the diagnosis and the therapy of cancer and ageing-related pathologies. PRIMES brings together the complementary skills of 16 recognized academic and medical partners with a long-standing experience to develop state-of-the-art methods, covering all necessary fields, from basic physics, instrumentation, radiobiology, data acquisition and processing, to image reconstruction, simulations and modeling supported by supercomputing.

Duration: 2012-2019

More information on the PRIME website.