Introduction to GPU Programming with OpenACC

About the course The Scientific Computing group at the IT department (UiB) is offering a one day hands-on physical course for Introductory GPU Programming with OpenACC.

The course is designed for beginners in GPU-programming and who want to get familiar with available directives programming models with a special focus on the OpenACC offloading. The course does not require any basic knowledge in GPU-programming, but it is a requirement that the user has some basic programming experience with either Fortran or C. The course aims at providing an overview of the OpenACC model and guiding users towards its optimal use. The course will familiarise the users with the most needed constructs, clauses and runtime library routines via some practical numerical applications. The applications include solving partial differential equations, matrix multiplication, integration etc.

Prerequisites

The course does not require any basic knowledge in GPU-programming

• Basic programming experience with either Fortran or C
• Basic Linux

Expected Outcome of the course

By the end of this training course, the user should be able to:

• Recognise the necessity of GPU-programming.
• Define different available programming models.
• Get an overview of the GPU-architectures and compilers supporting OpenACC.
• Determine the role of different constructs, clauses, and runtime library routines.
• Compile and interpret the compiler flags and feedback messages.
• Use appropriate constructs and clauses to offload compute regions to the GPU device.
• Select and map regions of a code with the use of data locality concepts.
• Implement OpenACC on simple numerical models.
• Do code-profiling using NVIDIA Nsight Systems
• Interpret Slurm gpu-job.

Registration

Please register here

Date & Time

29th March 2022 Tuesday 10:00 -15:30

Location

To be updated