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NEW CHALLENGES IN DATA SCIENCE: BIG DATA AND DEEP LEARNING ON DATA CLOUDS

Información General

Tríptico imprenta

ProgramaPrograma

Información General

Procedimiento solicitud onlineProcedimiento solicitud online

BECAS

Listado de BecariosListado de Becarios
Código
63ZH
Horas
30
Fecha
18 Jun 2018
22 Jun 2018
Precio
130 € Tarifa C
Tipo
Seminario
Temática
Ciencias y Tecnología
ECTS
1

Sede donde se gestiona

Santander

Lugar de impartición

Santander - Península de la Magdalena (Santo Mauro)

Dirección

Jesús Marco de Lucas
Profesor Investigación, CSIC

Secretaría

Álvaro López
Investigador postdoctoral, CSIC

PATROCINIO


PATROCINIO

ORGANIZADO EN COLABORACIÓN CON


ORGANIZADO EN COLABORACIÓN CON

Descripción de la actividad

This course is targeted at specialists and students at the different academic levels (master, graduate students, PhD candidates, postdoctoral students and senior scientists) interested in current research trends regarding compute intensive data analytics techniques over massive amounts of data, making special emphasis on Deep Learning, over High Performance Computing (HPC) and hybrid Cloud Platforms.

The first half of the course is devoted to the study and analysis of different use cases in different areas (such a Astrophysics and Particle Physics, Bioinformatics and Biodiversity). Over these sessions an in depth analysis and consolidation of technical requirements will be performed, with the objective of understanding the present and future challenges that are to be tackled in these scientific areas over the next years.

The last part of the course will consist on the description of a practical deployment and implementation of the tools required to perform the aforementioned massive data processing on top of a cloud computing environment. Also, the integration of existing HPC systems (like supercomputers) in cloud environments will be tackled. This integration can be considered as a new way of hybrid cloud, making it possible to scale up the resource limitations of a given private cloud over a specialized provider. All this discussion will be framed in the context of the European Open Science Cloud and its framework, being focused on the researchers requirements and the different computing platforms present at both the national and European level.

Participantes

DIRECCIÓN

Jesús Marco de Lucas
Profesor Investigación, CSIC

SECRETARÍA

Álvaro López
Investigador postdoctoral, CSIC

PARTICIPANTES

Fernando Aguilar
Postdoctoral researcher, Spanish National Research Council, CSIC

Andy S Alic
Universidad Politécnica de Valencia

Isabel Campos Plasencia
Researcher
Spanish National Research Council (CSIC)

Steve Canham
European Clinical Research Infraestructure Network, ECRIN

Daniele Cesini
Postdoctoral researcher, Italian Institute for nuclear Physics (INFN)-CNAF Department

Alessandro Costantini
Postdoctoral researcher, Italian Intitute for Nuclear Physics (INFN)-CNAF Department

Giacinto Donvito
Technologist at Italian Institute for Nuclear Physics (INFN) - Bari Department

Antonio Falabella
Postdoctoral Research Fellow, Italian Institute for Nuclear Physics (INFN)-CNAF Department

Frederic Gillardo
CNRS

Wolfgang Graf zu Castell-Rüdenhausen
Head of the Scientific Computing Research Unir, Institute of Computational Biology, HMGU

Jorge Umberto Lucio Oliveira Gomes
Portuguese Laboratory of Instrumentation and Experimental Particles Physics (LIP), Lisboa

Pablo Orviz
Researcher, Spanish National Research Council, CSIC

Francisco Pando de la Hoz
Researcher, Real Jardín Botánico, CSIC

Michael Schuh
Researcher, Deutsches Elektron-Synchrotron (DESY)

Programa

Lunes, 18 Junio 2018

10:00
Understanding Researchers Requirements: a Data Science perspective
10:00
Understanding Researchers Requirements: a Data Science perspective
Fernando Aguilar
12:00
Extreme Data Cloud requirements in Astrophysics and High Energy
12:00
Extreme Data Cloud requirements in Astrophysics and High Energy
Antonio Falabella
Daniele Cesini
Frederic Gillardo
15:30
XFEL Data Ingesting and Processing
15:30
XFEL Data Ingesting and Processing
Michael Schuh

Martes, 19 Junio 2018

10:00
Extreme Data Cloud challenges in Ecosystems and Biodiversity
Francisco Pando de la Hoz
10:00
Extreme Data Cloud challenges in Ecosystems and Biodiversity
12:00
Extreme Data Cloud challenges in Clinical Research
Steve Canham
12:00
Extreme Data Cloud challenges in Clinical Research
15:30
Wrap-up: towards a common approach on challenges and requirements on Extreme Data Cloud
15:30
Wrap-up: towards a common approach on challenges and requirements on Extreme Data Cloud
Daniele Cesini
Alessandro Costantini

Miércoles, 20 Junio 2018

10:00
Understanding stakeholders and their portfolio of services in the European Open Science Cloud
10:00
Understanding stakeholders and their portfolio of services in the European Open Science Cloud
Giacinto Donvito
Isabel Campos Plasencia
12:00
Ensuring software quality in federated environments
12:00
Ensuring software quality in federated environments
Pablo Orviz
15:30
Matching research requirements and challenges with Cloud platform functionalities
15:30
Matching research requirements and challenges with Cloud platform functionalities
Wolfgang Graf zu Castell-Rüdenhausen

Jueves, 21 Junio 2018

10:00
Deploying advanced services on Hybrid Data Clouds
10:00
Deploying advanced services on Hybrid Data Clouds
Álvaro López
12:00
Building and deploying complex applications in Hybrid Clouds
12:00
Building and deploying complex applications in Hybrid Clouds
Andy S Alic
15:30
Integration of HPC resources and techniques
15:30
Integration of HPC resources and techniques
Jorge Umberto Lucio Oliveira Gomes

Viernes, 22 Junio 2018

09:30
Security, Privacy and Ethics issues
09:30
Security, Privacy and Ethics issues
Steve Canham
11:30
What next? panorama up to 2020
Jesús Marco de Lucas
11:30
What next? panorama up to 2020

Sin fecha definida

What next? panorama up to 2020
Extreme Data Cloud requirements in Astrophysics and High Energy
XFEL Data Ingesting and Processing
Extreme Data Cloud challenges in Ecosystems and Biodiversity
Extreme Data Cloud challenges in Clinical Research
Wrap-up: towards a common approach on challenges and requirements on Extreme Data Cloud
Understanding Researchers Requirements: a Data Science perspective
Ensuring software quality in federated environments
Matching research requirements and challenges with Cloud platform functionalities
Deploying advanced services on Hybrid Data Clouds
Building and deploying complex applications in Hybrid Clouds
Integration of HPC resources and techniques
Security, Privacy and Ethics issues
Understanding stakeholders and their portfolio of services in the European Open Science Cloud