INDUSTRIA 4.0 CIS GALICIA

10 de maio de 2016

INDUSTRIA 4.0 O CESGA

Actividade do CESGA

Recursos CESGA

INDUSTRIA 4.0

By MD Ahasanul Habib

INDUSTRIA 4.0 en Galicia

EC Action Plan for HPC strategy

{COM(2016) 178}

Mastering HPC technologies is vital for Europe’s

innovation capabilities in science, industry and society.

The interwining of HPC with a growing number of

industrial applications and scientific domains makes

HPC the engine to power the new global digital

economy.

97% of industrial companies using HPC consider it

indispensable for innovate, compete and survive.

The new manufacturing and production processes of

Industry 4.0, will use HPC to become more productive.

The Fortissimo Project

Building a Cloud of HPC Resources to solve SMEs’

business challenges (22+11M€)

Complementing generic SME initiatives in EC FP7

Programme - specific support to deliver economic growth

through modelling and simulation

Focus on problem solving – not technology development

Brings together all of the players in a marketplace

(*) ICT Innovation for Manufacturing SMEs

CloudPYME Galicia-N.Portugal

HPC y Big Data son ferramentas clave,

fundamentais para a industria manufactureira

Europea do futuro.

Existe un conxunto de grupos de I+D de excelencia

da área en Galicia, especialmente:

Matemática industrial

Software de simulacions electromagnéticas

Solucións de ferramentas HPC

Software de simulacións de fluidos

Simulación de polímeros

INDUSTRIA 4.0 en Galicia

Existen centros tecnolóxicos líderes, usuarios desas

tecnoloxías, incluindo sectores punteiros como o

aeronáutico e máis o automóvil.

Hai un ecosistema de empresas locais xóvenes e

emprendedoras que usan estas ferramentas para

competir no exterior.

CESGA como centro de referencia europeo en HPC

ligado aos maiores proxectos de promoción do MS&A en

Europa e España.

É NECESARIO COMPUTAR PARA COMPETIR.

Qué é a simulación numérica?

High Performance Computing

(HPC) is the use of servers,

clusters, and supercomputers – plus

associated software, tools,

components, storage, and services

– for scientific, engineering, or

analytical tasks that are particularly

intensive in computation, memory

usage, or data management

Process

Conceptual Model

Mathematical Model

Software

Numerical Resolution

Analysis

Validation

New conditions

Intersec360

Adapted from “La computación competitiva”,

Andrés Gómez Tato, 2014.

Flange Tightening

10

Texas Controls is a Spanish SME offering tightening and

sealing solutions to large industrial facilities in the industrial,

power generation and oil & gas sectors.

Most of the damages happens during the tightening.

Intermediate stages affects the results.

A challenge regarding modelling, simulation, and execution.

Web portal interface flexible to incorporate new

functionalities.

Copyright © Members of the Fortissimo

Consortium 2015 FP7 (grant agreement 609029)

Dinak: Galician SME which specialises in the design of

chimneys

For the new Market of room-sealed biomass stoves,

Dinak needs to develop a new design of concentric

chimney with internal insulation.

The design of concentric chimneys is conceptually

simple, but their operation is complex.

The challenge is to develop a thermal-fluid-dynamic

simulation program to reach the optimized solution to

this issue and other products.

HPC allows to get a fast and accurate solution to this

complex calculation.

Dinak will be able to optimize all their chimney designs

to improve their energy efficiency. Expected increase

of turnover of biomass division of 5% (500.000€)

11

Design of high temperature exhaust gases concentric chimneys

Copyright © Members of the Fortissimo

Consortium 2015 FP7 (grant agreement 609029)

Qué é HPDA?

High Performance Data Analytics

(HPDA) = tasks involving sufficient

data volumes and algorithmic

complexity to require HPC resources.

Steve Conway & Chirag DeKate, IDC

https://hpcuserforum.com/presentations/tuscon2013/

IDCHPDABigDataHPC.pdf

Data-driven models

Established (simulation) or newer

(analytics) methods

Structured data, unstructured

data, or both

Regular (e.g., Hadoop) or

irregular (e.g., graph) patterns

Accumulated results of iterative

problem-solving methods (e.g.,

stochastic modeling, parametric

modeling).

Qué é HPDA?

Machine Learning/Deep Learning

Detección de anomalías

Control de calidad

Control del proceso

Logística

Mantenimiento predictivo

Image from www.jtoy.net

Emo is a Slovenian SME specialising in the production of

tools and dies for the automobile industry.

Emo production processes use laser-based metal

deposition techniques. It is necessary to gather and

interpret the various process parameters. This results in

significant volumes of data.

The objective is to process these data (thermal high-

speed image sequences and 3D profiles) using an

HPC-based cloud.

This will enable the use of machine-learning techniques

to extract relevant information and to understand better

the interrelations between the various process

parameters.

Machine Learning for manufacturing processes.

O CESGA

O CESGA

Misión do CESGA

“Contribuir ao

avance da ciencia e da técnica mediante a investigación e a aplicación da

computación e comunicacións de altas prestacións,

en colaboración con outras institucións,

para beneficio da sociedade”

Providers of HPC services to national and international research community (at least 20% of their resources)

Spanish Unique HPC Infrastructures (ICTS)

Unique S&T Infrastructures

Número de usuarios das Infrastructuras:

Computación: 391

Comunicacións: Comunidade Investigadora e Universitaria galega:

75.000 persoas aproximadamente. Resto Comunidade Educativa galega.

Plataforma Tele-ensino: 25.000 inscricións activas.

USUARIOS do CESGA

Actividade do CESGA

Áreas de actividade no CESGA

Recursos CESGA

CESGA DATA CENTRE

2.200 TB

FINIS

TERRAE II

7,712 núcleos

SVG

~ 3.300 núcleos

ALMACENAMENTO 1200 TB

Cloud Industria

240 núcleos

BigData

456

núcleos

Visualización

Remota

80 núcleos

Recursos do CESGA

TFLOPS TB TB

361

40

24’4

51’7

768

1.618

Actualización Tecnolóxica

COMPUTACIÓN x 11’9 MEMORIA x 2,8 DISCO x 3,4

40

476,4

0

100

200

300

400

500

600

2015 ACTUALIZADA

24,4

68,9

0

10

20

30

40

50

60

70

80

2015 ACTUALIZADA

768

2653,2

0

500

1000

1500

2000

2500

3000

2015 ACTUALIZADA

REDE DE CIENCIA E TECNOLOXÍA DE GALICIA

Persoas no CESGA

MÁIS DE 20 ANOS APORTANDO

Á I+D+I