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線上課程 (On-line):2024 年 09 月 24 日 09:00 AM - 13:00 PM
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課程影片:https://youtu.be/-AJXj5BYVds
Start Time
(CST)End (CST) Session 09:00am 09:30am Welcome and connecting to the Cluster 09:30am 10:00am Introduction to GPU Programming 10:00am 10:30am Introduction to Nsight Systems (Lecture and Read only Lab) 10:30am 11:30am Accelerating Standard C++ and Fortran with GPUs (Lecture and Lab) 11:30am 12:30pm Directive-Based Programming with OpenACC on GPUs (Lecture and Lab) -
實體課程 (In-person):2024 年 09 月 25 日 09:00 AM - 16:30 PM
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課程影片:https://youtu.be/YsAP51UzFaw
Start Time
(CST)End (CST) Session 09:00am 09:30am Welcome and connecting to the Cluster 09:30am 10:45am Directive-Based Programming with OpenACC on GPUs (Lecture and Lab) (Continued) 10:45am 11:00am Break 11:00am 12:00pm CUDA C/Fortran Programming (Lecture + Lab) 12:00pm 01:00pm Lunch 01:00pm 02:00pm CUDA C/Fortran Programming (Lecture + Lab) (Continuation) 02:00pm 02:30pm Memory Coherent CPU-GPU Programming (Lecture + Lab) 02:30pm 04:30pm Coding Challenge 04:30pm 04:40pm Wrap-up
- "N-ways to GPU Programming" Deployment Guide
- Dockerfile for this event
- Running on TWCC
- Alternative
alk.traj.dcd
download link
- Basic experience with C++/Fortran/Python.
- Free DLI course to learn fundamentals, https://developer.nvidia.com/join-nvidia-developer-program
- Others DLI related to accelerated computing, https://learn.nvidia.com/en-us/training/self-paced-courses
- N-ways to GPU Programming Bootcamp Open Source, https://github.com/openhackathons-org/nways_accelerated_programming
- NCHC-NVIDIA Joint Lab Repository, https://github.com/nqobu/nvidia