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GPU Computing Workshop Series for the Earth Science Community
Submission navigation links for Knowledge Base Resources
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Submission information
Submission Number:
89
Submission ID:
3393
Submission UUID:
0907a311-935c-41b2-944a-4abfb81d544a
Submission URI:
/form/resource
Created:
Mon, 03/13/2023 - 15:45
Completed:
Mon, 03/13/2023 - 15:48
Changed:
Thu, 03/14/2024 - 11:47
Remote IP address:
71.56.218.29
Submitted by:
Daniel Howard
Language:
English
Is draft:
No
Webform:
Knowledge Base Resources
Approved
Yes
Title
GPU Computing Workshop Series for the Earth Science Community
Category
Learning
Tags
optimization
,
performance-tuning
,
profiling
,
parallelization
,
github
,
pytorch
,
tensorflow
,
oceanography
,
gpu
,
hpc-arch-and-perf
,
training
,
c
,
c++
,
fortran
,
cuda
,
jupyterhub
,
programming
,
programming-best-practices
,
python
Skill Level
Beginner
Description
GPU training series for scientists, software engineers, and students, with emphasis on Earth science applications.
The content of this course is coordinated with the 6 month series of GPU Training sessions starting in Februrary 2022. The NVIDIA High Performance Computing Software Development Kit (NVHPC SDK) and CUDA Toolkit will be the primary software requirements for this training which will be already available on NCAR's HPC clusters as modules you may load. This software is free to download from NVIDIA by navigating to the NVHPC SDK Current Release Downloads page and the CUDA Toolkit downloads page. Any provided code is written specifically to build and run on NCAR's Casper HPC system but may be adapted to other systems or personal machines. Material will be updated as appropriate for the future deployment of NCAR's Derecho cluster and as technology progresses.
Link to Resource
Official NCAR Website
Github
YouTube Playlist of Presentations