Blog
Feb 27 2018
CSC-kursseja 04/05 2018; Threading and Optimization, aerial LiDAR data management, CFD modelling with ANSYS, Julia, ArcGIS Pro, OpenFOAM
| 4.–6.4.2018 This free-of-charge course is organized as part of the PRACE Advanced Training Center (PATC) activity at CSC. The course includes topics on code optimization for x86 platforms and efficient code parallelisation using OpenMP threading. Some advanced aspects will be also covered. |
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| 16.4.2018 A one day introductory course presenting how to manage common open aerial LiDAR datasets using different tools. The course will have some short lectures, demos and hands on. |
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| 23.–24.4.2018 This is a quick start course that introduces the users to the CFD workflow and tools. |
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| 14.–15.5.2018 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. In this course, we will start from the beginning and learn the basics concepts of programming with Julia. We will also discuss selected Julia packages and give an introduction to the Julia ecosystem. |
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| 21.5.2018 Ota haltuun ESRI:n uusi ArcGIS Pro! Kurssilla käydään läpi ArcGIS Prohon liittyvä keskeinen terminologia. Kurssilla opetellaan erilaisia tehtäviä kartta aineiston käsittelyyn, aineiston muokkaamiseen, geoprosessointiin ja analyysien tekoon. Kurssin myötä kokenut ArcGIS Desktop käyttäjä ymmärtää ArcGIS Pron ominaisuudet ja osaa käyttää sen toimintoja monipuolisesti. |
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| 31.5.2018 The event aims to gather together people to share their experiences and ideas of using OpenFOAM®. Any person already using or starting to use the software may find the event useful. We attempt to keep the day informal, but organized and informative – come along! |
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Feb 26 2018
Introduction to deep learning (17.-18.4.2018)
Feb 23 2018
Aalto Scientific Computing -kurssit
It is a pleasure to announce that Scientific Computing in Practice series of lectures at Aalto is now open to FGCI community. It is free of charge for the consortium members.
Courses include all kind of topics related to HPC and scientific computing in general.
Details at http://science-it.aalto.fi/scip/
A few highlights for this winter/spring:
* MPI introduction
* Linux Shell Programming
* High Performance Data Analyzes
On top of the specific courses, SCIP kickstart in June, it is a three days introduction to computational facilities available to researchers at Aalto.
The courses material is Aalto users oriented though still feel free to join them if you find the topics useful.
Feb 14 2018
CSC Training (maalis-huhtikuu): Advanced Fortran, Linux scripting, Coderefinery, Threading and optimisation,
https://events.prace-ri.eu/event/694/https://www.csc.fi/web/training/-/linux3_spring_2018https://www.csc.fi/web/training/-/coderefinery-workshop-in-turku-2018https://events.prace-ri.eu/event/718/
*** Advanced Fortran Programming 26.3. - 28.3.2018 *** This course covers the modern features of the Fortran programming language. Topics include object-oriented features, language interoperability and several other enhancements available at the Fortran 2008 standard. In addition, a way to express distributed memory parallelism via Fortran coarrays will be discussed in detail. This free of charge course is provided by the PRACE Advanced Training Centres (PATCs) activity. Read more and register (by 16.3.2018) at *** Linux 3 - scripting 21.3.2018 *** The course will include the Unix shell scripting tools sed and awk, shell scripting with bash shell, and the regular expressions used in pattern matching. In addition to being useful on CSC's servers, the skills learnt during the course may come in handy elsewhere too (e.g. data processing), knowing them makes working on Unix environments more efficient. Read more and register (by 13.3.2018) at *** CodeRefinery workshop in Turku 20.3. - 22.3.2018 *** The aim of this course is to demonstrate to and familiarize the workshop participants with best practices and tools in modern research software development. The main focus is on professional tools for efficiently developing and maintaining research software. This free of charge course is arranged by NeIC with help by CSC. Read more and register at *** Advanced Threading and Optimization 4.4. - 6.4.2018 *** The course includes topics on code optimization for x86 platforms and efficient code parallelisation using OpenMP threading. Advanced aspects of threading and optimization, such as new features in OpenMP 4.5, will be covered during the course. Some performance aspects of hybrid MPI+OpenMP programs will also be discussed. This free of charge course is provided by the PRACE Advanced Training Centres (PATCs) activity. Read more and register (by 23.3.2018) at
Feb 13 2018
Nic Lane: Machine Learning Systems: On-device AI and beyond (27 February, 2018 at 3:15)
KUTSU – INVITATION - Helsinki Distinguished Lecture Series on Future Information Technology
Welcome to the next lecture of the new high level lecture series on Tuesday 27 February, 2018 at 3:15 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 Nic Lane (University of Oxford), entitled
Machine Learning Systems: On-device AI and beyond
Abstract
In just a few short years, breakthroughs from the field of deep learning have transformed how computational models perform a wide-variety of tasks such as recognizing a face, driving a car or the translation of a language. Unfortunately, deep models and algorithms typically exert severe demands on local device resources and this conventionally limits their adoption within mobile and embedded platforms. Because sensor perception and reasoning are so fundamental to this class of computation, I believe the evolution of devices like phones, wearables and things will be crippled until we reach a point where current -- and future -- deep learning innovations can be simply and efficiently integrated into these systems.
In this talk, I will describe our progress towards developing general-purpose support for deep learning on resource-constrained mobile and embedded devices. Primarily, this requires a radical reduction in the resources (viz. energy, memory and computation) consumed by these models -- especially at inference time. I will highlight various, largely complementary, approaches we have invented to achieve this goal including: binary “on-the-fly” networks, sparse layer representations, dynamic forms of compression, and scheduling partitioned model architectures. Collectively, these techniques rethink how deep learning algorithms can execute not only to better cope with mobile and embedded device conditions; but also to increase the utilization of commodity processors (e.g., DSPs, GPUs, CPUs) -- as well as emerging purpose-built deep learning accelerators.
About the speaker
Nic Lane is an Associate Professor in the Computer Science Department at the University of Oxford. Before joining Oxford, he held dual appointments at University College London (UCL) and Nokia Bell Labs; at Nokia, as a Principal Scientist, Nic founded and led DeepX – an embedded focused deep learning unit at the Cambridge location. Nic specializes in the study of efficient machine learning under computational constraints, and over the last three years has pioneered a range of embedded and mobile forms of deep learning. This work formed the basis for his 2017 Google Faculty Award in machine learning. Nic’s work has received multiple best paper awards, including ACM/IEEE IPSN 2017 and two from ACM UbiComp (2012 and 2015). This year he will serve as the PC Chair of ACM SenSys 2018. Prior to moving to England, Nic spent 4-years at Microsoft Research based in Beijing as a Lead Researcher. He received his PhD from Dartmouth College in 2011. More information about Nic is available from http://niclane.org.
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/86777/lomake.html. Please register asap and latest by Monday 19th February.
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. Petri Myllymäki
Director
Helsinki Institute for Information Technology
Feb 07 2018
Data Science -päivä 9.2.2018 Tiedekulmassa
Firmat esittelevät Data Science -tekemistään:
9.30 - Doors open
10.10 - Welcome speech
10.15 - Accenture
11.30 - Reaktor
12.15 - Lunch & exhibitions
13.30 - OP
15.00 - Solita
16.30 - Doors close
Feb 07 2018
RedHat-tilaisuuksia 16.2.2018, 27.2018 ja 13.3.2018
Red Hat Tech Update 16.2.2018 (JBoss EAP, OpenShift Application Runtimes RHOAR):
https://www.redhat.com/en/events/nordic-tech-update-helsinki
Red Hat Storage Day 27.2.2018 (Ceph & Gluster):
https://www.redhat.com/en/events/red-hat-storage-day-helsinki-2018
Red Hat Containers & Cloud-Native Roadshow 13.3.2018 (Dev ja Ops-träkit erikseen):
https://www.redhat.com/en/events/containers-cloud-native-roadshow-helsinki