Blog

University of Helsinki and HiDATA warmly welcome you to the

Big Data in Real-Life -event

on Tuesday, December 11th, 10:00-16:00.

in Think Corner – Tiedekulma, Yliopistonkatu 4, Helsinki


How is data changing our world?

In the morning session Future Visions and business opportunities you will hear about Data Science and Artificial Intelligence with their impact on society through companies employing applications containing Big Data, Analytics and Machine Learning technologies.

In the afternoon session Research and Applications in Science and Industry you will hear the latest news about data science and artificial intelligence, including the use of big data platforms and machine learning for industrial and scientific applications.



10:00-12.15
Future Visions and business opportunities



Opening Words
Kaarle Hämeri, Chancellor, University of Helsinki

Keynote Speeches and Panel Discussion
Pauli Aalto-Setälä, Group CEO, Aller Media Finland and Professor of Practice, University of Turku
Mikko Viitaila, NTO, Microsoft Finland
and other keynote speakers from the industry


13:00-16:00                    
Research and Applications in Science and Industry



Opening Words
Sasu Tarkoma, Professor, University of Helsinki

Big Data Platforms and their Applications
Keijo Heljanko, Professor, University of Helsinki

Extreme Classification for Ranking, Recommendations and Tagging
Rohit Babbar, Assistant Professor, Aalto University

From Accurate and Reliable Navigation Data into Sustainable Smart Cities
Laura Ruotsalainen, Associate Professor, University of Helsinki

Bringing Humans into the Loop in Data Science
Kai Puolamäki, Associate Professor, University of Helsinki

Opportunities in Machine Learning for Healthcare
Pekka Marttinen, Assistant Professor, Aalto University

Questions and Summary
Sasu Tarkoma, Professor, University of Helsinki


Big Data in Real-Life -event is free and in English but there is only 150 seats available, so register now: https://www.lyyti.in/Big_Data_in_Real_Life <https://www.lyyti.in/Big_Data_in_Real_Life>

See you soon in Think Corner!

https://www.csc.fi/web/training/-/cuda_2018https://www.csc.fi/web/training/-/python-for-biosciences

** GPU Programming with CUDA 12.12. - 14.12. ***

This course gives a basic introduction to writing GPU applications using
CUDA. Building on this, performance tools and how to write efficient
CUDA code are discussed. Finally multi-GPU programming both within a
node and between nodes, as well as new CUDA features will be presented.
Read more and register (by 4.12.) at


*** Python for Biosciences 3.12. - 4.12. ***

Introduction to Python programming form the perspective of bioscience.
Read more and register (by 23.11.) at:



Save the date!

* CSC Summer School in High-Performance Computing 2019  25.6.-4.7. *

The dates have now been set for the 10th anniversary of CSC Summer
School in HPC. Nine days of coding, sport activities and good company
right in the middle of beautiful Finnish nature just 30km from Helsinki.

CSC Summer School in HPC brings together undergraduate and graduate
students as well as postdoctoral researchers from different disciplines
of scientific computing. The school consists of lectures and hands-on
training on parallel programming, code optimization and other essential
skills in development of scientific software. During the school you can
build up your HPC expertise from almost zero up to an intermediate /
semi-advanced level.

The aim of the school is to give you the skill set necessary to start
writing high-performance scientific software! ... and to have a great
time while doing it!

Registration will open in December 2018.

Webinar: Julia environment in Taito 13.11.2018 13:00

Julia is a new emerging high-level, high-performance programming language. In other words, it aims to be simple to write and fast to run. This webinar presents you the Julia programming environment on CSC's Taito cluster. 

Prerequisities: You don't need any preliminary knowledge about the language to follow this presentation.

Join the webinar with Zoom: https://cscfi.zoom.us/j/209501688

Webinar series on performance optimization of scientific software

Third and last part next week, 20.11., recordings available for sessions 1 & 2!

The reason for doing high-performance computing is, well, high performance - but is your application as good as it can get, in terms of performance? Watch this webinar series and you will have an answer to that - hopefully together with some ideas on how to improve the observed shortcomings.

In the first part, we will discuss some general considerations related to application performance, followed by a walkthrough on how to profile and analyse performance of your parallel application on CSC's Cray XC supercomputer Sisu. The second part will cover the foundations as well as programming practices for writing efficient program code for modern x86 CPUs. In the last part, we will talk about some algorithmic considerations and MPI programming practices for improving parallel scalability of MPI-parallel applications.

30.10. Performance optimization of scientific software I: Performance analysis https://www.csc.fi/en/web/training/-/code-optimisation-webinar-1 -Watch the webinar recording here: https://youtu.be/xGxGn1XGdIk 

6.11 Performance optimization of scientific software II: Node-level performance tuning https://www.csc.fi/en/web/training/-/code-optimisation-webinar-2 Watch the webinar recording here: https://youtu.be/RYcmLV3Uc4w 

20.11. Performance optimization of scientific software III: Improving application scaling https://www.csc.fi/en/web/training/-/code-optimisation-webinar-3 -Join webinar here: https://cscfi.zoom.us/j/418390616 

More about our webinar series:
https://research.csc.fi/csc-webinars 
We record our webinars. You can find the links to the past webinar recordings above. 
You can also suggest webinar topics with this form.
Follow us on twitter: twitter.com/CoursesAtCSC #CSCfiWebinar

Pouta cloud course gives you a practical introduction for using CSC's cloud services Pouta. The Pouta cloud services are meant for all fields of science & research. It allows users to solve computational challenges which have not previously been possible to run on CSC's other computing systems. The registration closes on 14.11.2018. Read more about the course at https://www.csc.fi/web/training/-/pouta-cloud-course-2018.


For all our courses and trainings, please visit www.csc.fi/training

CodeRefinery, 11-13.dec
=======================

CodeRefinery is a collaboration among various Nordic partners (CSC
among them) to help teach more higher-level scientific software
skills.

They are having another workshop at Aalto May 29-31.  The topics
include version control, notebooks, testing, development environments,
reproducibility, licensing, documentation, and modular code.  It is
open for anyone, and I encourage anyone interested to attend.  The
previous workshop was extremely popular, so register early!

This isn't a programming course, it helps scientists program better.
If you've ever thought "I can program but I know I'm missing
something", consider coming.

Register and more info:
  https://coderefinery.org/workshops/2018-12-11-espoo/

The reason for doing high-performance computing is, well, high performance - but is your application as good as it can get, in terms of performance? Watch this webinar series and you will have an answer to that - hopefully together with some ideas on how to improve the observed shortcomings.

In the first part, we will discuss some general considerations related to application performance, followed by a walkthrough on how to profile and analyse performance of your parallel application on CSC's Cray XC supercomputer Sisu. The second part will cover the foundations as well as programming practices for writing efficient program code for modern x86 CPUs. In the last part, we will talk about some algorithmic considerations and MPI programming practices for improving parallel scalability of MPI-parallel applications.

30.10. Performance optimization of scientific software I: Performance analysis https://www.csc.fi/en/web/training/-/code-optimisation-webinar-1

6.11 Performance optimization of scientific software II: Node-level performance tuning https://www.csc.fi/en/web/training/-/code-optimisation-webinar-2 

20.11. Performance optimization of scientific software III: Improving application scaling https://www.csc.fi/en/web/training/-/code-optimisation-webinar-3

More about our webinar series:
https://research.csc.fi/csc-webinars 
We record our webinars. You can find the links to the past webinar recordings above. 
You can also suggest webinar topics with this form.

Analysing large datasets with Apache 19.-20.11.2018; https://www.csc.fi/web/training/-/analysing_data_apachespark_2018

GPU Programming with CUDA 12.12. - 14.12.2018

https://www.csc.fi/web/training/-/cuda_2018

Paikka: Think Corner, Yliopistonkatu 4, Helsinki

Lisätiedot ja ilmoittautuminen : https://www.lyyti.fi/reg/Trends_in_Cyber_Security

Keynote speakers 
Matti Aksela, Vice President, Artificial Intelligence, F-Secure
Hanna Smith, Director of Strategic Planning and Responses, Hybrid CoE
Valtteri Niemi, Professor, University of Helsinki
Arto Hellas, Senior Lecturer, University of Helsinki

Trends in Cyber Security -seminar is in English and it is free for all.

Paikka: CSC, Keilaranta 14, 02100 Espoo (Kartalla), koulutustila Dogmi, 1. kerros

Tervetuloa koulutustilaisuuteen, joka on tarkoitettu Fairdata-yhteyshenkilöille ja organisaatioiden datatuen asiantuntijoille. Tilaisuudessa kerromme Fairdata-palvelukokonaisuudesta, joka on siirtymässä tuotantoon. Annamme myös koulutusta Fairdata-palveluiden käyttöön. Lisäksi päivän ohjelmassa on esitys Fairdata-PAS -sopimuksista.

Aamupäivän osuus klo 10:00-10:45 on mahdollista seurata myös etäyhteydellä. Parhaimman hyödyn tilaisuudesta saa kuitenkin paikan päällä. Tämä tilaisuus korvaa vuosittaisen IDA-yhteyshenkilötapaamisen.

Tilaisuuden ohjelma:

klo 09.30 - 10.00    Kahvi, aulatilat

klo 10.00 - 10.15    Johdanto: Aineistonhallinta ja Fairdata-palvelut, Jessica Parland-von Essen

klo 10.15 - 10.45    Fairdata-palvelukokonaisuus (IDA, Etsin, Qvain, Metax, Fairdata-PAS), Anssi Kainulainen

klo. 10.45 - 11.45   Testaamme Fairdata-palveluiden käyttöä

klo 11.45 - 12.00    Fairdata-PAS-sopimukset, Pirjo-Leena Forsström

klo 12.00 - 12.45    Lounas (omakustanteinen)

klo 12.45 - 14.15    Työpajat:

1) Aineistonhallinnan tuen ja osaamisen yhteistyön kehittäminen, Päivi Rauste

2) Metaxin rajapinnat ja metatietovirrat (tekninen työpaja, edellytetään ohjelmointiosaamista), Hannu Kämäräinen

Voit tutustua etukäteen API-dokumentaatioon verkossa: https://metax-test.csc.fi/docs/  

klo 14.15 -14.30   Loppukeskustelu, Päivi Rauste ja Jessica Parland-von Essen

https://www.fairdata.fi/  ‑sivuilta löydät palvelukohtaisia käyttöoppaita, joihin voit halutessasi tutustua etukäteen.

Sivuilta löytyy myös uusi Datanhallinnan muistilista https://www.fairdata.fi/miksi-fairdata/datanhallinnan-muistilista/

Ilmoittaudu viimeistään 18.10. alla olevalla lomakkeella:

https://www.lyyti.fi/reg/Fairdatakoulutustilaisuus_4541 

https://www.delltechnologies.com/fi-fi/events/forum/agenda.htm?reference=edm4-Agenda-Live-OFT&cmp=emc-emea-fi-h22018-forums-agenda-sales