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SUMMARY:Polish National Competence Centre in HPC: Enabling AI in EuroHPC
DTSTART;VALUE=DATE-TIME:20240605T100500Z
DTEND;VALUE=DATE-TIME:20240605T103500Z
DTSTAMP;VALUE=DATE-TIME:20261014T015302Z
UID:indico-contribution-163-1566@events.ncbj.gov.pl
DESCRIPTION:Speakers: Marek Magrys (Cyfronet)\nThis presentation delves in
 to the importance of the EuroHPC Joint Undertaking and the supercomputing 
 resources it provides for European users from industry\, science and publi
 c administration. In particular\, it highlights the LUMI supercomputer\, r
 anked 5th on the recent Top500 list of the fastest supercomputers\, making
  it the fastest supercomputer in Europe. The EuroCC2 project is also intro
 duced as a critical initiative in fostering HPC competencies in Europe\, w
 ith the Polish National Competence Centre activities in Poland described i
 n more detail. A focal point of the presentation is the SpeakLeash project
 \, a compelling example of AI utilization facilitated by NCC Poland\, demo
 nstrating how cutting-edge HPC resources can be harnessed to drive innovat
 ive AI solutions.\n\nhttps://events.ncbj.gov.pl/event/314/contributions/15
 66/
LOCATION:
URL:https://events.ncbj.gov.pl/event/314/contributions/1566/
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BEGIN:VEVENT
SUMMARY:LUMI: Europe's most powerful supercomputer
DTSTART;VALUE=DATE-TIME:20240605T090000Z
DTEND;VALUE=DATE-TIME:20240605T094000Z
DTSTAMP;VALUE=DATE-TIME:20261014T015302Z
UID:indico-contribution-163-1560@events.ncbj.gov.pl
DESCRIPTION:Speakers: Tomasz Malkiewicz (CSC / NeIC)\nThe EuroHPC Joint Un
 dertaking has installed three leadership-class supercomputers. We will dis
 cuss one of these systems\, LUMI\, located in Kajaani\, Finland. LUMI is c
 urrently the fastest supercomputer in Europe and in general one of the mos
 t powerful and advanced computing systems in the world. In this talk\, I w
 ill present the technical architecture of the LUMI infrastructure and its 
 status\, together with plans and ambitions for the near future. Then\, an 
 overview of the scientific showcases and achievements from the first month
 s of LUMI will be presented. These include\, for example\, contributions t
 o the Destination Earth initiative\, work on large language models and bre
 akthroughs from extreme-scale computing capabilities in many fields of com
 putational science.\n\nhttps://events.ncbj.gov.pl/event/314/contributions/
 1560/
LOCATION:
URL:https://events.ncbj.gov.pl/event/314/contributions/1560/
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BEGIN:VEVENT
SUMMARY:FPGAs in HPC - applications and methods
DTSTART;VALUE=DATE-TIME:20240605T113000Z
DTEND;VALUE=DATE-TIME:20240605T115500Z
DTSTAMP;VALUE=DATE-TIME:20261014T015302Z
UID:indico-contribution-163-1557@events.ncbj.gov.pl
DESCRIPTION:Speakers: Grzegorz Korcyl (Jagiellonian University)\nIn recent
  years\, Field Programmable Gate Array technology has gained momentum in t
 he HPC sector as the abundance of configurable resources and high-level de
 velopment tools allow to implement complex algorithmics. Unique features o
 f this technology such as adaptable computing\, pipelined processing and i
 ntegrated high-speed transceivers provide means to compete with classic CP
 Us or GPUs in certain applications. In this talk\, I will present the tech
 nology fundamentals\, development methodologies and overview the computing
  areas that can benefit from employing FPGAs.\n\nhttps://events.ncbj.gov.p
 l/event/314/contributions/1557/
LOCATION:
URL:https://events.ncbj.gov.pl/event/314/contributions/1557/
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BEGIN:VEVENT
SUMMARY:Preliminary study on artificial intelligence methods for cybersecu
 rity threat detection in computer networks based on raw data packets
DTSTART;VALUE=DATE-TIME:20240605T115500Z
DTEND;VALUE=DATE-TIME:20240605T122000Z
DTSTAMP;VALUE=DATE-TIME:20261014T015302Z
UID:indico-contribution-163-1533@events.ncbj.gov.pl
DESCRIPTION:Speakers: Aleksander Ogonowski (National Centre for Nuclear Re
 search)\, Michał Żebrowski (National Centre for Nuclear Research)\nMost 
 of the methods of the intrusion detection systems for cybersecurity threat
 s detection in computer networks are based on traffic flow characteristics
 . However\, this approach may not fully exploit the potential of deep lear
 ning algorithms to directly extract features from raw packets. Moreover\, 
 it impedes real-time monitoring due to the necessity of waiting for the pr
 ocessing pipeline to complete and introduces dependencies on additional so
 ftware components.\n\nIn this paper\, we investigate deep learning methodo
 logies capable of detecting attacks in real-time directly from raw packet 
 data within network traffic. Our investigation utilizes the CICIDS2017 dat
 aset\, which includes both benign traffic and prevalent real-world attacks
 \, providing a comprehensive foundation for our research.\n\nhttps://event
 s.ncbj.gov.pl/event/314/contributions/1533/
LOCATION:
URL:https://events.ncbj.gov.pl/event/314/contributions/1533/
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BEGIN:VEVENT
SUMMARY:Developing Artificial Intelligence in the Cloud: the AI_INFN platf
 orm
DTSTART;VALUE=DATE-TIME:20240605T094000Z
DTEND;VALUE=DATE-TIME:20240605T100500Z
DTSTAMP;VALUE=DATE-TIME:20261014T015302Z
UID:indico-contribution-163-1497@events.ncbj.gov.pl
DESCRIPTION:Speakers: Rosa Petrini (INFN)\nThe INFN CSN5-funded project AI
 _INFN ("Artificial Intelligence at INFN") aims at fostering the adoption o
 f ML and AI within INFN by providing support on multiple aspects\, includi
 ng the provision of state-of-the-art hardware for AI and ML\, leveraging o
 n cloud native solutions in the context of INFN Cloud\, to share hardware 
 accelerators as effectively as possible without compromising on the divers
 ity of the research activities of the Institute. AI_INFN evolves the Virtu
 al-Machine-based model towards a more flexible platform built on top of Ku
 bernetes. This is meant to be a composable toolkit and currently features:
  JWT-based authentication\, JupyterHub multitenant interface\, distributed
  filesystem\, customizable conda environments\, and a specialized monitori
 ng and accounting system. Last but not least\, the platform is an enabler 
 to implement the offloading mechanism based on Virtual Kubelet and interLi
 nk API\, a synergy with InterTwin. Preliminary results and applications wi
 ll be presented.\n\nhttps://events.ncbj.gov.pl/event/314/contributions/149
 7/
LOCATION:
URL:https://events.ncbj.gov.pl/event/314/contributions/1497/
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