Implement GPU parallel programming with CUDA C and OpenACC

When: December 24th

Venue: A125, Zhugongshan building

Morning: CUDA C/C++ Basics and hands on (9:00--11:30)

The main content:1. Basic idea of parallel computing and GPU heterogeneous parallel computing
                             2. CUDA C programming model and basic optimization
                             3.Unified Memory use
                             4. Streams and Concurrency
                             5. Code profile 
                             6. Error handling  
                             7. hands on

Afternoon:Introduction to OpenACC parallel programming and Handson（14:00--17:00）
The main content:1. Introduction to OpenAcc basic programming model
                             2. parallel/kernel directives
                             3. data directives
                             4. optimizations
                             5. Basic optimization method
                             6. hands on

Alternative: Cuda10 latest programming features        

Teaching expert: Fu Qingping   NVIDIA senior solution architect      

Since he started his work, professor fu has been engaged in HPC system operation and platform optimization, HPC system architecture and gpu-based deep learning algorithm platform development, testing and tuning. He is currently responsible for HPC/DL GPU supercomputing architecture at NVIDIA.

Please download cuda, pgi compiler in advance!

cuda:https://developer.nvidia.com/cuda-downloads?target_os=Windows&target_arch=x86_64&target_version=10&target_type=exelocal

pgicompiler:https://www.pgroup.com/products/community.htm