Kokkos Lecture Series July-September #38
Comments
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Will these lectures be recorded and made available later? |
Updates
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@amklinv-nnl wrote:
^^^ this would be super helpful : - ) |
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Yes they will be recorded. We hope (review requirements permitting) to post the recordings early the week after, so people can watch them if they missed them. |
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I haven't received the meeting password. When will I receive the password? Thanks. |
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@YigongQin I believe the meeting password was part of the registration confirmation email. |
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Its also in the calendar invite, which you should have gotten a link too in that registration email. But I can post it here later again, for a bit. Let me know if you find it. |
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I didn't receive the confirmation email. But I did register for the class.
I attach the screenshot here. Could you please check my information and
send me the password? Thank you a lot.
Best regards,
*Yigong Qin*
Department of Mechanical Engineering
The University of Texas at Austin
Austin, Texas
[email protected]
…On Fri, Jul 17, 2020 at 9:49 AM Christian Trott ***@***.***> wrote:
@YigongQin <https://github.com/YigongQin> I believe the meeting password
was part of the registration confirmation email.
—
You are receiving this because you were mentioned.
Reply to this email directly, view it on GitHub
<#38 (comment)>,
or unsubscribe
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.
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The link to the recording is now up. See: https://github.com/kokkos/kokkos-tutorials/wiki/Kokkos-Lecture-Series |
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Hi! would it be possible to add the |
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@phil-blain Done and welcome! |
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Topic: Kokkos Online Lecture Series -- Office Hours Join ZoomGov Meeting Meeting ID: 160 1150 4582 Dial by your location Join by Skype for Business |
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One more hint for people with login issues: turning VPN off helps for some folks. |
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Topic: Kokkos Online Lecture Series -- Office Hours Join ZoomGov Meeting Meeting ID: 160 1150 4582 Dial by your location Join by Skype for Business |
1st Kokkos Lecture Series July-September
The Kokkos team will provide its first Kokkos Lecture Series, where attendees learn everything necessary to start using Kokkos to write performance portable code. This Kokkos Lecture Series will consist of a 2-hour online lecture every Friday and exercises as homework. The team will provide support via GitHub and Slack throughout the time of the training.
Wiki Page with Recordings and Q&A: Lecture Series
Office Hours Tuesday 3-5PM ET: see below
Signup
Registration with email address, name and institution is necessary here:
https://www.exascaleproject.org/event/kokkos-class-series/
The event is free.
What is Kokkos?
Kokkos is a C++ Programming Model for Performance Portability developed by a team spanning some of the major HPC facilities in the world. It allows developers to implement their applications in a single source fashion, with hardware vendor agnostic programming patterns. Implemented as a C++ template meta programming library, Kokkos can be used with the primary tool chains on any HPC platforms. The model is used by many HPC applications both within and outside the US, and is the primary programming model for the efforts of the Sandia National Laboratory to make their engineering and science codes ready for exascale. At this point more than 100 projects are using Kokkos to obtain performance portability.
The tutorial will teach attendees the basics of Kokkos programming through a step-by-step sequence of lectures and hands-on exercises. Fundamental concerns of performance portable programming will be explained. At the end of the training, attendees will have learned how to dispatch parallel work with Kokkos, do parallel reductions, manage data, identify and manage data layout issues and expose hierarchical parallelism. Attendees will also learn about advanced topics such as using SIMD vector types, tasking and integrate Kokkos with MPI. Furthermore the Kokkos Lecture Series will cover the use of Kokkos Tools to profile and tune applications, as well as leveraging the KokkosKernels math library to access performance portable linear algebra operations. The material used during the training will be available online, including the exercises and their solutions. Support hours will be offered to answer questions and help with exercises - including access to Cloud Instances with GPUs to do the exercises (we may need to limit attendee numbers for those depending on demand).
Contents of the Tutorial
This is a preliminary outline of the training. We are keeping a 9th day in reserve for anticipated schedule slippage. The lectures will be held Fridays: 10:00-12:00 MT (12:00-14:00 ET; 9:00-11:00 PT).
How to Attend
For updates and questions visit: #38
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