Blog

GPU computing in practice by Filippo Federici will start next Monday
1.10 at 10:00 in NOKIA. See details and registration link at

http://science-it.aalto.fi/scip/gpu-computing-fall-2018/

There will be practical details of running on GPUs on Triton. Different
computing models such as basics of compiling and running GPU ready
applications, using GPU libraries to do the math and in addition how to
write your own code with CUDA.

The Department of Computer Science organises two small symposia where

visiting data science researchers will present their recent work. The

first symposium will be on Friday, 21 September:

 9:15 Coffee

 9:30 Fabian Fagerholm

      Using data for decision-making in sofware engineering:

      product and human perspectives

10:00 Antti Honkela

      Privacy-preserving machine learning

10:30 Nikolaj Tatti

      Profiling cyber-security alarms, and dealing with concept drift

The presentations will take place in Exactum C222.

The second symposium on Friday 28 September will include presentations

by Dorota Glowacka, Aleksandros Iosifidis, Janne Lindqvist, Simon

Puglisi and Esa Rahtu. A detailed programme will be posted soon.  The

speakers of the symposia are also candidates for the four tenure-track

positions currently open at the Department of Computer Science.

Everyone is welcome!

Science-IT continues with the Scientific Computing in Practice (SCIP)
courses. Here is a tentative plan for the upcoming fall/winter. Spring
courses to be announced later.


Fall 2018 / Winter 2019 courses, tentative plan: Linux Shell basics
(2x3h), GPU computing (4x3h), Condor introduction (2x2h), Matlab Basics
(4x3h), Triton winter kickstart (1x4h in Jan)

Right now (sorry for short announcement) we will start with the Linux
Shell Basics. It is a spin-off from the last spring Linux Shell
Programming. Dedicated to Linux terminal practicalities only at very
introductory level, mostly for those new to Linux users that want to
know what is behind the command line. No scripting, just working with
files, processes, running shell utilities etc. We need this as a ground
state for many other Triton courses.

Right after the Shell course, we jump to GPU computing. It's where you
meet the GPU cards and practical aspects of their usage on Triton
including code compilation and CUDA programming.

See details and registration links at

http://science-it.aalto.fi/scip/


YT, Ivan Degtyarenko (on behalf of Science-IT)

Tämä on kuin onkin alkuperäisen suunitelman mukaisesti

Ohjelmasta on tiedossa että:"Puhujiksi ovat lupautuneet Lääketieteellisen tiedekunnan dekaani Risto Renkonen ja alustavasti HYKS:n naistentautien toimialajohtaja, professori Seppo Heinonen".  Tilaisuuden loppuosa koostuu tuttuun tapaan posterimessuista, jotka toteutetaan Biomedicumin aulassa

 Lisätiedot: https://flamma.helsinki.fi/fi/Laadunhallinta/HY376955

Ilmoittautuminen: https://elomake.helsinki.fi/lomakkeet/91846/lomake.html

Tietotekniikkakeskus järjestää kolmannen ja viimeisen infotilaisuuden tietosuojasta 1.11. klo 12.30-16.00 Minerva-torilla.

Tilaisuudessa avataan mm. rekisteröityjen oikeuksia tietojärjestelmissä ja kerrotaan, miten keskitetty lokitus helpottaa tietojärjestelmän vastuuhenkilön työtä. Tilaisuudessa käydään myös läpi HY:n tietoturvaohjeistuksen tilannetta ja niitä käytännön palveluita, joita tietotekniikkakeskus tarjoaa tietojärjestelmien vastuuhenkilöille.

Tarkempi ohjelma julkaistaan syyskuun aikana Flamman tapahtumakalenterissa, ilmoittaudu ennen 24.10. Henkassa.

Infotilaisuus on tarkoitettu erityisesti tietojärjestelmien omistajille ja pääkäyttäjille, mutta myös muut asiasta kiinnostuneet yliopistolaiset ovat tervetulleita!

https://flamma.helsinki.fi/fi/HY376933

Welcome to the next lecture of the new high level lecture series on Monday 24 September, 2018 at 3:00 pm at Small Hall, Main Building, University of Helsinki, Fabianinkatu 33, Helsinki

Helsinki Distinguished Lecture Series on Future Information Technology (https://www.hiit.fi/HelsinkiITLectures) continues with an invited lecture from Mahadev Satyanarayanan (Carnegie Mellon University), entitled

Using Edge Computing for Privacy in Real-Time Video Analytics

Abstract
 Live video offers several advantages relative to other sensing modalities. It is flexible and open-ended: new image and video processing algorithms can extract new information from existing video streams. It offers high resolution, wide coverage, and low cost relative to other sensing modalities. Its passive nature means that a participant does not have to wear a special device, install an app, or do anything special. He or she merely has to be visible to a camera.  Privacy is clearly a major concern with video in public spaces.  

In this talk, I will describe how Edge Computing can be used to denature live video thereby making it "safe" from a privacy point of view.   

Using OpenFace, our new open-source face recognition system that approaches state-of-the-art accuracy,   we are able to selectively obscure faces according to user-specified policies at full frame rate.   This enables privacy management for live video analytics while providing a secure approach for handling retrospective policy exceptions.

About the speaker

Satya's multi-decade research career has focused on the challenges of performance, scalability, availability and trust in information systems that reach from the cloud to the mobile edge of the Internet.  In the course of this work, he has pioneered many advances in distributed systems, mobile computing, pervasive computing, and the Internet of Things (IoT).

Most recently, his seminal 2009 publication “The Case for VM-based Cloudlets in Mobile Computing” and the ensuring research has  led to the emergence of Edge Computing (also known as "Fog Computing").  Satya is the Carnegie Group Professor of Computer Science at Carnegie Mellon University.  He received the PhD in Computer Science from Carnegie Mellon, after Bachelor's and Master's degrees from the Indian Institute of Technology, Madras. He is a Fellow of the ACM and the IEEE.  For a more detailed bio, see Satya's Wikipedia entry: https://en.wikipedia.org/wiki/Mahadev_Satyanarayanan.

The lecture will be followed by cocktails.

The event is free of charge and open to all interested in the leading research in information technology. Please register at https://elomake.helsinki.fi/lomakkeet/91504/lomake.html. Please register asap and latest by Monday 17^th September.

The lecture series will continue. See details from https://www.hiit.fi/HelsinkiITLectures.

Best regards,

Prof. Giulio Jacucci

Helsinki Institute for Information Technology
 Host of the seminar series

Prof. Sasu Tarkoma
 Head of Department of Computer Science 

University of Helsinki

Prof. Petri Myllymäki

Director

Helsinki Institute for Information Technology

 Tommi Ekholm viesti 15.8.2018:

Vielä on kesää jäljellä ja sen lisäksi vielä Efecte-koulutusta ilmaantuu tarjolle! Käymme läpi Efecten peruskäyttöä ja toimintaperiaatteita.

Järjestämme koulutuksen neuvotteluhuone Unixissa (Viikki, Arcus) perjantaina 14.9 kello 9-11.

Mukaan tulisi ottaa oma kannettava, että koulutuksesta saa mahdollisimman paljon irti.

Ilmianna itsesi tai alaisesi koulutukseen lähettämällä sähköpostia osoitteeseen tike-palha@helsinki.fi

Supercomputing 2018 on alan merkittävin tapahtuma tämänhetkisten ja tulevien teknologioiden kannalta. SC18 järjestetään tänä vuonna Dallasissa.

Ohjelma on julkaistu:

https://sc18.supercomputing.org

Esim.

Full day with hands-on workshops

• Automation – Ansible
• Journey to Cloud-Native Applications with OpenShift

https://www.redhat.com/en/events/forum-finland

Description

This course gives a practical introduction to deep learning, convolutional and recurrent neural networks, GPU computing, and tools to train and apply deep neural networks for natural language processing, images, and other applications.

The course consists of lectures and hands-on exercises. Keras and TensorFlow will be used in the exercise sessions. CSC's Notebooksenvironment will be used on the first day of the course, and the Taito-GPU cluster on the second day.

https://www.csc.fi/web/training/-/dlintro_2_2018