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
Skill Level:
Beginner (304)
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 (https://www2.cisl.ucar.edu/what-we-do/training-library/gpu-computing-workshops)
- Github (https://github.com/NCAR/GPU_workshop)
- YouTube Playlist of Presentations (https://www.youtube.com/watch?v=UjK0O412A60&list=PLbelYhZAAHEKZnxz4Rf3IdY_GOrYpSMdH)
Tags:
optimization (509), performance-tuning (17), profiling (215), parallelization (223), github (490), pytorch (471), tensorflow (51), oceanography (331), gpu (80), hpc-arch-and-perf (467), training (381), c (362), c++ (321), fortran (419), cuda (222), jupyterhub (214), programming (5), programming-best-practices (49), python (69)
Domain:
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