BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//ENCCS - ECPv6.15.16//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://enccs.se
X-WR-CALDESC:Events for ENCCS
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20240331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20241027T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20241024T120000
DTEND;TZID=Europe/Stockholm:20241024T133000
DTSTAMP:20260421T175030
CREATED:20240909T142952Z
LAST-MODIFIED:20241202T125156Z
UID:35581-1729771200-1729776600@enccs.se
SUMMARY:GPU programming using Python - A practical intro webinar
DESCRIPTION:Registrations are closed for this event. \n\n\n\n\n\n\n\n\n\nAbout the webinar\n\n\n\nIn the past decade\, Graphics Processing Units (GPUs) have ignited the dynamic evolution of data science. But GPUs can do a lot more than machine learning – these powerful devices can accelerate and massively parallelise any general-purpose computational load in domains involving big data and heavy number crunching. You can use the GPU in your personal computer\, or scale up your application to run on a supercomputer. How can you get started? \n\n\n\nIn this webinar\, we focus on GPU-accelerated computing with Python\, one of the most popular programming languages for science\, engineering\, data analytics\, and deep learning applications. Starting from familiar Python libraries such as Numpy and Pandas\, we will guide you step-by-step into the world of GPU programming. Discover how to harness the power of GPU accelerators using libraries such as CuPy\, cuDF\, PyCUDA\, Jax\, and Numba\, with a focus on their unique features and capabilities for high-performance computing. \n\n\n\nWho is the webinar for?\n\n\n\nThe GPU programming using Python webinar is for data scientists\, software developers and researchers who want to start using GPUs to accelerate their computational workflows. \n\n\n\nKey takeaways\n\n\n\nAfter attending this seminar\, you will be able to: \n\n\n\n\nget started with GPUs in Python using high-level libraries\n\n\n\nfamiliarise yourself with the multiple vendors that compete with different software stacks\, toolkits\, and frameworks\n\n\n\nmake informed decisions about your GPU workflows\n\n\n\n\nLesson material\n\n\n\nThe ENCCS Practical Intro webinar series aims to provide concise and condensed introductions to key topics in high-performance computing and related technologies. Webinar materials such as notebooks and code examples are available online on Github.  \n\n\n\nFor more thorough tutorials and self-study materials\, please visit the library of ENCCS lessons here. \n\n\n\nSpeakers\n\n\n\n\nAshwin V. Mohanan (RISE/ENCCS)\n\n\n\nYonglei (LiU/ENCCS)\n\n\n\n\nRegistration\n\n\n\nRegister by visiting this link https://events.prace-ri.eu/event/1576/registrations/1138/ \n\n\n\n\n\n\n\nRestrictions\n\n\n\nDue to EuroCC2 regulations\, we CAN NOT ACCEPT generic or private email addresses. Please use your official university or company email address for registration. \n\n\n\nThis training is intended for users established in the European Union or a country associated with Horizon 2020. You can read more about the countries associated with Horizon2020 here https://ec.europa.eu/info/research-and-innovation/statistics/framework-programme-facts-and-figures/horizon-2020-country-profiles_e
URL:https://enccs.se/events/gpu-programming-using-python-a-practical-intro/
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2024/09/GPU-for-python.jpg
END:VEVENT
END:VCALENDAR