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OEHI Workshop on HPC, AI and Cloud-Edge Tools – Review

3 February 2023

OEHI started the new year 2023 with a bang in the annual Open Edge and HPC Initiative (OEHI) training workshop at GWDG, Göttingen from 17-19th January 2023. Hosted by GWDG, this event also marks a successful start of the collaboration/partnership with DECICE (https://decice.eu), a Horizon Europe project that aims to develop an AI-based, open and portable cloud management framework.

The workshop was very well received with 75 registered participants, of which 18 registered to attend in person. Participants came from a wide range of backgrounds including scaleups, SMEs (EIT Digital community), members of OEHI, DECICE, EuroCC and other academic institutes.

The hybrid workshop was well attended, with almost 50 participants on one day. A hybrid workshop with on-site and online participants presented many challenges and was also a learning exercise for the organisers and training providers.


The lectures and hands-on sessions were all recorded so that those interested could follow along at their own pace. The 3 days are independent of each other and it is easy to follow a particular day. Details of the videos and slides can be found below.


OEHI would like to thank GWDG for hosting and helping us with the logistics, all the presenters and the participants of this event.

TopicSpeakersVideoSlides

Day 1. Implement, parallelise and optimise simulation applications on Arm-based clusters
Welcome and Introduction to OEHIKarthee SivalingamVideoSlides
Arm-based architectures and performance analysisDirk PleiterVideoSlides
Porting annd optimisation; Performance tools ; Performance analysisDirk PleiterSlides
Introduction to HAICGU cluster Hands-on : Introduction to clusterStepan Nassyr and Marcus RichterVideoSlides
Performance optimizationDirk PleiterVideoSlides
Hands-on: Porting and Optimisation
Implement a 2d Poisson solver for heat equation
Dirk PleiterVideoSlides/Code
Day2. Implement and test a training and inference workflows using Arm CPUs and (in a second step) ML and inference accelerators
Building a Versatile, User friendly, All-scenario AI PlatformShangPengFeiVideoSlides
Introduction to AI Basics, Da Vinci architecture; Atlas products ; CANNKubilay TunaVideoSlides
ACL, pyACLKubilay Tuna and teamVideoSlides
Hands-on – AI inference offline and onlineKubilay Tuna and teamVideo
Mindspore, MindX; Hands-on – AI training using TensorFlowSerkan Celik and teamVideoSlides
Hands-on – AI Training using PyTorch and MindsporeAlper Balmumcu and teamVideo
Day 3. Implement and test a micro-service for inference running on Arm CPUs and deployed on an Edge using Kubernetes/KubeEdge instance
KubeEdge IntroductionLin GuohuiVideoSlides
KubeEdge Demo / hands-onBao YueVideo
Huawei cloud introductionAtul AthavaleVideoSlides
SEDNA introductionVittorio CozzolinoVideoSlides
SEDNA – Demo/ hands- onVittorio CozzolinoVideo
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