[Vo-managers] [ Operations Portal ] Broadcast - : [EGI Webinar 2023]Distributed Deep Learning with Horovod |Wednesday, 29th March, 14:00-15:00 CEST

--------------------------------------------------------------------------------------------------------------- EGI BROADCAST TOOL : https://operations-portal.egi.eu/broadcast/send --------------------------------------------------------------------------------------------------------------- Publication from : Yin Chen <yin.chen(a)egi.eu> ---------------------------------------------------------------------------------------------------------------- Dear all I am pleased to announce a new EGI webinar in March. Research and development of Artificial Intelligent approaches are increasingly popular in EGI community. The talk will introduce the advanced distributed deep learning research in SZTAKI, EGI Hungarian partner. Register now to reserve your place! Title: Distributed Deep Learning with Horovod Date and Time: Wednesday, 29th March 2023 |14:00 -15:00 CEST Webinar page: https://www.egi.eu/event/webinar-distributed-deep-learning-with-horovod/ Registration: https://us02web.zoom.us/webinar/register/WN_Kxp2LP4rSWKoPNq5OqDVeg Description: The talk will introduce the Horovod distributed deep learning framework and the reference architecture and service(s) built for supporting it. The aim of the presented works is to enable the efficient utilization of cloud resources in the heavily resource-intensive task of distributed deep learning. The concept of reference architectures is also briefly presented, along with the experiences gained from their continuous development. The target audience for this webinar includes e-Infrastructure platform and technology providers and those researching or applying (distributed) deep learning at any level. Demos will be presented. Speaker: Krisztián Póra, Software Engineer, SZTAKI, Hungary Krisztián Póra received his BSc degree in Computer Engineering in 2021. His Bachelor's thesis was concerned with the automatic testing of a reference architecture supporting deep learning. His work at SZTAKI (the Institute for Computer Science and Control) is mainly focused on research and application of the distributed deep learning methodology and the development of various reference architectures supporting the swift deployment of digital research infrastructures. Please forward this to anyone who may be interested! Looking forward to seeing you in the webinar! Yin ---- Dr Yin Chen Community Support Officer EGI Foundation (Amsterdam, The Netherlands) W: www.egi.eu | E: yin.chen(a)egi.eu | M: +31 (0)6 3037 3096 | Skype: yin.chen.egi | Twitter: @yinchen16 EGI: Advanced Computing for Research The EGI Foundation is ISO 9001:2015 and ISO/IEC 20000-1:2011 certified ##### https://www.egi.eu/about/egi-foundation/team/yin-chen/ ---------------------------------------------------------------------------------------------------------------- link to this broadcast : https://operations-portal.egi.eu/broadcast/archive/2964 ----------------------------------------------------------------------------------------------------------------