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DTSTART;TZID=Europe/Stockholm:20220419T090000
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DTSTAMP:20260421T193305
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SUMMARY:SYCL Workshop
DESCRIPTION:Overview\nWelcome to this ENCCS SYCL workshop \nSYCL is a C++ abstraction layer for programming heterogeneous hardware with a single-source approach. SYCL is high-level\, cross-platform\, and extends standard ISO C++17. You will learn to: \n\nUse the hipSYCL compiler to generate executables for multiple hardware targets.\nWrite hardware-agnostic code to express parallelism using the queue\, command group\, and kernel abstractions.\nUse buffer and accessors to handle memory across devices.\nEvaluate drawbacks and advantages of unified shared memory.\n\nTutors\nThis workshop will be given by ENCCS expert Roberto Di Remigio Eikås\, PhD. \nHelpers: \n\nStig Rune Jensen (NRIS)\nAndrey Alekseenko (KTH)\nJørgen Nordmoen (NRIS)\n\nComputing Resources\nSupercomputer Karolina is going to provide computing resources for this workshop. \n \nPreliminary Agenda\nTuesday 19 April 2022\n \n[ninja_tables id=”13375″] \nWednesday 20 April 2022 \n[ninja_tables id=”13376″] \nThursday 21 April 2022 \n[ninja_tables id=”13377″] \nRegistration\nYou can register by visiting this link https://events.prace-ri.eu/event/1351/registrations/998/. \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_en
URL:https://enccs.se/events/04-2022-sycl/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2022/02/SYCL-it4i-enccs.jpg
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DTSTART;TZID=Europe/Stockholm:20220425T090000
DTEND;TZID=Europe/Stockholm:20220426T120000
DTSTAMP:20260421T193305
CREATED:20220316T125827Z
LAST-MODIFIED:20230116T102618Z
UID:13937-1650877200-1650974400@enccs.se
SUMMARY:Upscaling A.I. Workflows
DESCRIPTION:Overview\nSupervised training of large networks requires large labeled datasets\, which in turn demand high computational costs. While active practitioners in deep learning primarily develop and train their networks on local computing devices\, with the increase of networks complexity\, there is an urgent need to create\, train\, and test models on clusters. \nIn this workshop\, we overview the basics of Docker and Singularity. (Working knowledge of Singularity as given in the Uppmax workshop on Singularity is desirable.) Distributed training using TensorFlow and Horovod frameworks on a supercomputer will be covered. Moreover\, it will be shown how to use Singularity containers in conjunction with TensorFlow and Horovod to upscale an AI app. \nThe workshop will be entirely online using zoom. \nOutcomes\n\nCreate\, deploy\, and update containers locally on a supercomputer\nUpscale the transfer learning of an NLP model in TensorFlow\nUpscale the transfer learning of an NLP model using Horovod\nUpscale the transfer learning of a containerized NLP model\n\nPrerequisites\nBasic knowledge of UNIX OS and familiarity with NNs are required. \nPreliminary Agenda\nTo be announced soon\, \nRegistration\nThe event is fully booked. \nFor questions regarding this event please contact us at training@enccs.se. \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_en
URL:https://enccs.se/events/2022-04-upscaling-ai-with-containers/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2022/03/upscaling-ai-workflows-4ff.jpg
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