BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//The NCC Netherlands - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://eurocc-netherlands.nl
X-WR-CALDESC:Events for The NCC Netherlands
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20230101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20240115T090000
DTEND;TZID=UTC:20240115T130000
DTSTAMP:20260419T065914
CREATED:20240103T160355Z
LAST-MODIFIED:20240103T160355Z
UID:1062-1705309200-1705323600@eurocc-netherlands.nl
SUMMARY:Introduction training supercomputing part I
DESCRIPTION:What will you learn in this training?\nIn this training you will do practical exercises to learn how to use the national supercomputer Snellius effectively and how to complete your tasks with minimal effort in the shortest possible time. \nSign up\n\n\n\n\nFor whom.\nAnyone who wants to know how to perform huge computing tasks.\nThe language of instruction is English. \nPrerequisites\nBasic knowledge of Unix shell is useful. \n\n\n\n\n\nSign in
URL:https://eurocc-netherlands.nl/calendar/introduction-training-supercomputing-part-i/
LOCATION:SURF Amsterdam\, Science Park 140\, Amsterdam\, 1098 XG\, Netherlands
CATEGORIES:Training
ATTACH;FMTTYPE=image/png:https://eurocc-netherlands.nl/wp-content/uploads/2024/01/Introduction-training-supercomputing-part-I-2.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240115T133000
DTEND;TZID=UTC:20240115T170000
DTSTAMP:20260419T065914
CREATED:20240103T154439Z
LAST-MODIFIED:20240103T154439Z
UID:1056-1705325400-1705338000@eurocc-netherlands.nl
SUMMARY:Introduction training supercomputing part II
DESCRIPTION:What will you learn in this course?\nThis course is a follow-up to the first introductory Supercomputing course\, where you can take a deeper dive into the use of supercomputers with a special focus on efficiency and good practices and a very practical approach. \nSign up\n\n\n\n\nThe format of this course includes the following modules: \n\nFundamentals of performance analysis. This introductory technical presentation introduces high-performance hybrid systems\, abstractly covering the architecture and configuration of the system. Our aim is to enhance the understanding of HPC complexity before delving deeper into the importance of performance analysis models. Special attention is paid to the Roofline model.\n\nAbstract Modelling hybrid supercomputers. Presenting an abstract modelling approach for hybrid supercomputers\, condensing their complexity into three key parameters: peak performance\, memory and network bandwidth.\nPerformance analysis. Explore performance analysis\, starting with an overview of different models and going deeper into the specifics of the roofline model.\nThe roofline model. Describing the roofline model and presenting its practical application through clear explanations and demonstrations.\n\n\nFile systems. This practical session covers the proper use of file systems on HPC systems\, especially on Snellius.\nSlurm hybrid tasks. Slurm\, a widely used job scheduler for high-performance computing (HPC) systems\, has been introduced in earlier sections for a basic understanding. This module covers the specific resource allocation parameters for hybrid jobs with shared and distributed memory.\n\nNodes\, cores and tasks. This segment covers the fundamental concepts of nodes\, cores and tasks\, and highlights their role within the context of HPC systems.\nBindings. The concept of bindings is explored\, providing insight into how tasks are associated with specific resources\, improving participants’ understanding of resource allocation mechanisms.\nHands on. We will run the vector optics kernel with multiple configurations using a set of scripts.\n\n\nQCG pilot job. In some cases\, users need to run a large number of lightweight cases. However\, the nodes of supercomputers are too powerful and only allow relatively large partitions. For example\, the smallest possible allocation on Snellius is 1/4 of a node: 32 cores and 64 GB. Job concurrency is a common strategy for efficiently launching multiple lightweight jobs on such large partitions.\n\nFundamentals of job concurrency. This segment discusses the basic principles underlying job concurrency. Job concurrency is a methodological approach that enables the simultaneous execution of multiple smaller jobs within a larger allocated partition. The goal is to optimise resource utilisation and improve efficiency in scenarios where lighter tasks are executed on nodes designed for heavier workloads.\nHands-on QCG PilotJob. This hands-on session provides participants with hands-on experience of the QCG Pilotjob framework. Participants will gain practical insights into the strategies and techniques of using job concurrency to launch and manage multiple lightweight jobs within the context of bulky node partitions.\n\n\n\nPrerequisites\nParticipation in the course Introduction to Supercomputing\, Part I \nThe language of instruction is English \nLocation\nThis training course takes place at the VU Campus\nDe Boelelaan 1081\, Amsterdam – Room WN-C203/C255 \nView the floor plan here \n\n\n\n\n\nSign in
URL:https://eurocc-netherlands.nl/calendar/introduction-training-supercomputing-part-ii-2/
LOCATION:SURF Amsterdam\, Science Park 140\, Amsterdam\, 1098 XG\, Netherlands
CATEGORIES:Training
ATTACH;FMTTYPE=image/png:https://eurocc-netherlands.nl/wp-content/uploads/2024/01/Introduction-training-supercomputing-part-II.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240122T090000
DTEND;TZID=UTC:20240122T130000
DTSTAMP:20260419T065914
CREATED:20240103T162518Z
LAST-MODIFIED:20240122T102009Z
UID:1068-1705914000-1705928400@eurocc-netherlands.nl
SUMMARY:Introduction SURF Research Cloud
DESCRIPTION:This training course explains cloud computing in general. The accompanying hands-on approach introduces you to (some of) the many possibilities of SURF Research Cloud. You will learn how to create and manage your own virtual computing environment(s). At the end\, you will feel comfortable enough to install your own applications\, and benefit from the power of cloud computing. \nSign up\n\n\n\n\nFor whom?\nAnyone who wants to use a flexible and customised environment to run powerful applications. It is also a useful kickstarter for current HPC Cloud users. \nThe working language is English. \nRequirements\n\nA browser (Chrome or Firefox is good enough)\nExperience with Linux commands helps\, but is not a requirement.\n\nThis training is a collaboration between SURF and the UvA\, sponsored by EuroCC. \nSign in
URL:https://eurocc-netherlands.nl/calendar/introduction-surf-research-cloud-3/
LOCATION:UvA campus (Science Park) A1.16\, Amsterdam\, 1012 WP\, Netherlands
CATEGORIES:Training
ATTACH;FMTTYPE=image/png:https://eurocc-netherlands.nl/wp-content/uploads/2024/01/Introductie-SURF-Research-Cloud.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240123T100000
DTEND;TZID=UTC:20240123T170000
DTSTAMP:20260419T065914
CREATED:20231009T161952Z
LAST-MODIFIED:20231009T161952Z
UID:731-1706004000-1706029200@eurocc-netherlands.nl
SUMMARY:Big Data Processing in Astronomy and Earth Observation: Synergies & Shared Challenges
DESCRIPTION:Do you engage with Big Data in your research in Astronomy or Earth Observation? Or do you want to learn about innovative projects in these domains with a strong data processing component? Then join this seminar\, organised by SURF and NSO\, bringing together the Astronomy and Earth Observation communities to discuss shared challenges and best practices. \nSign Up\nBig (data) challenges\nThe challenges related to Big Data are similar for Astronomy & Earth Observation research. Both domains deal with ever-growing amounts of data and increasing complexity of data. Hence\, mission and instrument teams are expected to deliver science/analysis-ready data products as it is not feasible anymore for the end-users to handle the pre-processing themselves. \nAnother effect of the increased data volumes and complexity is the migration of scientific workflows from desktops to Virtual Research Environments or HPC clusters. New AI algorithms and other optimizations are needed to plough through the huge datasets. And how is Big Data managed and shared in the context of the Open Science revolution? \nIn this seminar\, we bring together two research communities with similar challenges\, and learn how innovative Big Data projects in Astronomy and Earth Observation deal with: \n\ndata processing and analysis: how to get from raw data to science/analysis-ready data products and scientific workflows?\ndata storage and management: how to manage distributed and heterogenous datasets and storage systems following Open Science and FAIR principles?\nemerging technologies: how to use AI\, Quantum Computing\, HPC\, exascale computing to tackle Big Data challenges?\n\nInnovative projects and inspiring speakers\n\nGijs Nelemans (RU) – LISA\nJohn Swinbank (ASTRON) – Square Kilometer Array\nEdwin Valentijn (RUG) – Euclid NL Data Center\nAnthony Brown (UL) – Gaia\nSteven Bloemen (RU) – BlackGEM\nNatalie Danezi (SURF) – The National Research IT Infrastructure\nAd Stoffelen (KNMI) – EUMETSAT Satellite Application Facilities\nJochen Landgraf (SRON) – TROPOMI\nJaap Langemeijer (Deltares) – Global Water Watch\nPier Siebesma (TUD/KNMI) – Ruisdael Observatory\nMeiert Grootes (eScience center) – Remote Sensing Deployable Analysis Environment\n\nOrganisation Committee\n\nHaili Hu (SURF)\nRaymond Oonk (SURF)\nJolien Diekema (NSO)\nRaymond Sluiter (NSO)\n\nFor whom\nResearchers\, IT support and Project Managers that are active in Astronomy or Earth Observation.
URL:https://eurocc-netherlands.nl/calendar/big-data-processing-in-astronomy-and-earth-observation-synergies-shared-challenges/
LOCATION:SURF Utrecht\, Moreelsepark 48\, Utrecht\, 3511 EP\, Netherlands
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/png:https://eurocc-netherlands.nl/wp-content/uploads/2023/10/Earth-Observations-23-January.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240124T090000
DTEND;TZID=UTC:20240126T170000
DTSTAMP:20260419T065914
CREATED:20231114T162737Z
LAST-MODIFIED:20231114T162811Z
UID:813-1706086800-1706288400@eurocc-netherlands.nl
SUMMARY:Training TRANSITS 1
DESCRIPTION:Responding to current situation\nThe TRANSITS 1 course is the basic and among others developed by SURF in a European context for CSIRTs\, and is the basic training. It dates from 2001 and has been in great demand worldwide ever since. In the process\, the teaching material has been constantly updated. \nSign up\n\n\n\n\nGetting started with Transits 1\nThe following components are covered: \n\norganisational aspects\noperational aspects\ntechnical background\nlegal and regulatory aspects\n\nAttention to own input\nThe TRANSITS training is a full 3-day programme for 2 groups of up to 14 participants each. This gives you room for a lot of personal input and you can ask all your questions. Thanks to the cooperation with NCSC-NL\, you will meet participants from all types of CSIRTs in the Netherlands; so you will get even more out of the training. \nLunch is included – you pay for any overnight stay yourself. \nFor whom?\nAre you (or will you be) a member of the local CSIRT within your own institution? Then you are very welcome to participate. In addition\, the training is excellent for security officers and ICT managers who want to know what a CSIRT entails. If you participate\, we expect you to have basic knowledge of internet technology and security. \n\n\n\n\n\n\nProgramme\nWe start all training days at 9am with coffee. On days 1 and 2\, we will work from 9.30 to 17.30! We conclude day 1 with a communal dinner. On day 3\, we hand out certificates to all participants at the end of the day’s programme\, at 16.00. \n\n\n\n\n\n\nCost\nCost for this training course: \n\nSURF members: 350 euro (excluding VAT)\nNon-members of SURF: 1\,050 euro (excluding VAT)\n\nRegistration and cancellation\n\nRegistration is not optional; please read the cancellation conditions for SURFacademy meetings.
URL:https://eurocc-netherlands.nl/calendar/training-transits-1/
LOCATION:SURF Utrecht\, Moreelsepark 48\, Utrecht\, 3511 EP\, Netherlands
CATEGORIES:Training
ATTACH;FMTTYPE=image/png:https://eurocc-netherlands.nl/wp-content/uploads/2023/11/Introduction-Scientific-Visualisation-with-Blender-Data-Lights-Camera-Action-2-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240124T100000
DTEND;TZID=UTC:20240124T123000
DTSTAMP:20260419T065914
CREATED:20231226T155432Z
LAST-MODIFIED:20231226T155432Z
UID:1048-1706090400-1706099400@eurocc-netherlands.nl
SUMMARY:Supercomputing Info Day
DESCRIPTION:Do you know how supercomputing can benefit your company? \nSign up\n\n\n\n\n\n\n\n\nOur primary aim is to raise awareness about supercomputing and the offerings of our respective NCCs for the industry. Through this event\, we intend to showcase successful HPC use cases that have significantly benefited various companies in the different countries. \nCOLLABORATIVE INFO DAY : \nNCC Slovenia\, NCC Netherlands\, NCC Montenegro\, NCC Cyprus\, NCC Spain \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nAGENDA\nOn-line event
URL:https://eurocc-netherlands.nl/calendar/supercomputing-info-day/
LOCATION:Online
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://eurocc-netherlands.nl/wp-content/uploads/2023/12/INFO-DAY-1536x865-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240129T090000
DTEND;TZID=UTC:20240129T130000
DTSTAMP:20260419T065914
CREATED:20240103T165039Z
LAST-MODIFIED:20240122T102214Z
UID:1078-1706518800-1706533200@eurocc-netherlands.nl
SUMMARY:Introduction to Deep Learning
DESCRIPTION:You will learn how deep neural networks work and how they are optimised. During our hands-on sessions\, you will get the chance to work on our high-performance systems and train neural networks to solve an image classification problem. We cover different neural network architectures: from a basic fully connected network\, to a convolutional neural network and variational auto-encoders (time permitting). \nThe language of instruction is English. \nSign up\n\n\n\n\nWhat will you learn in this course?\n\nUnderstand how a neuron and neural network work\nUnderstand how a neural network is trained\nInvestigate the effect of hyperparameters on the performance of neural networks\nWorking with a high-level machine learning API (Keras)\n\nFor whom.\nAnyone who is interested in deep learning\, but has no (or little) current experience & knowledge. \nPrerequisites\n\nPython\nBasic linear algebra\nBasic statistics\n\nTopics\n\nNeural network: basic principles\n\nHow does a neuron work?\nFully connected networks\nTraining/optimising a neural network\n\n\nConvolutional neural networks (CNNs)\n(Variational) Auto-encoders\n\nThis training is a collaboration between SURF and the UvA\, sponsored by EuroCC. \n\n\n\n\n\nSign in
URL:https://eurocc-netherlands.nl/calendar/introduction-to-deep-learning-2/
LOCATION:UvA campus (Science Park) A1.16\, Amsterdam\, 1012 WP\, Netherlands
CATEGORIES:Training
ATTACH;FMTTYPE=image/png:https://eurocc-netherlands.nl/wp-content/uploads/2024/01/Introduction-to-Deep-Learning.png
END:VEVENT
END:VCALENDAR