CUDA Concurrency

CUDA Concurrency
Tuesday, July 21, 2020

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 ([email protected]).

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(slides | recording )

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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.

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