CUDA Managed Memory
CUDA Managed Memory
Thursday, June 18, 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 Thursday, June 18, 2020, NVIDIA will present part 6 of a 9-part CUDA Training Series titled “Managed Memory”.
Unified Memory creates a pool of managed memory that is shared between the CPU and GPU, bridging the CPU-GPU divide. Managed memory is accessible to both the CPU and GPU using a single pointer. The system will automatically migrate data between the host and device as needed. This module will show you how to allocate managed memory, as well as how to use it to store data structures like linked lists or C++ objects that might otherwise be difficult to manage manually in a heterogeneous system. After the presentation, there will be a hands-on session where participants can complete example exercises meant to reinforce the presented concepts.
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 (firstname.lastname@example.org).
Remote connection details will be added here the day before the event.
The slides will be added here before the event and the recording will be added shortly after the event.
Shortly before the event, the example exercises for this module will be added to the exercises/hw6 folder of the following GitHub repo: https://github.com/olcf/cuda-training-series.