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CUDA Concurrency


CUDA Concurrency
Tuesday, July 21, 2020


NOTE: The format of this event has been changed to online only. NVIDIA will present remotely for the first ~1 hour and the remote connection will be left open for the hands-on session, where representatives from OLCF, NERSC, and NVIDIA will be available to support participants.
ORNL Remote Participation Only 1:00 PM – 3:00 PM (ET)
NERSC Remote Participation Only 10:00 AM – 12:00 PM (PT)

On Tuesday, July 21, 2020, NVIDIA will present part 7 of a 9-part CUDA Training Series titled “CUDA Concurrency”.

Concurrency refers to the ability to perform multiple CUDA operations simultaneously. This allows the user to do things like run multiple kernels on a single GPU or overlap data transfer and computation. This module introduces CUDA Streams and asynchronous functions that can be used to achieve concurrency in your applications. After the presentation, there will be a hands-on session where participants can complete example exercises meant to reinforce the presented concepts.


Remote Participation
Remote participants can watch the presentations via web broadcast and will have access to the training exercises, but temporary access to the compute systems will be limited as follows:

  • Current NERSC users will have Cori-GPU access temporarily added to their accounts.
  • Temporary Summit access will not be available for remote participants.

NOTE: Registration is required for remote participation. To register, please submit the form below.

If you have any questions, please contact Tom Papatheodore (papatheodore@ornl.gov).




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Meeting ID: 510 486 5180
Password: cuda

 
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Shortly before the event, the example exercises for this module will be added to the exercises/hw7 folder of the following GitHub repo: https://github.com/olcf/cuda-training-series.


Date

Jul 21 2020
Category

Organizer

Thomas Papatheodore
Phone
1 (865) 576-1244
Email
papatheodore@ornl.gov
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