Programming paradigms for GPU devices

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Description:

This course gives an overview of the most relevant programming paradigms and techniques to accelerate computationally demanding tasks on HPC heterogeneous architectures based on GPUs.

The course will start with an architectural overview of modern GPU based heterogeneous architectures, focusing on its computing power versus data movement needs. The course will cover both a high level (pragma-based) programming approach with OpenACC for a fast porting startup, and lower level approaches based on nVIDIA CUDA programming language for finer grained computational intensive tasks. Other approaches such as OpenMP offload, OpenCL, AMD HIP will be covered as a comparison to the others. A particular attention will be given on performance tuning and techniques to overcome common data movement bottlenecks and access patterns. Examples and exercises will be provided using both C and FORTRAN programming languages.

Skills:

By the end of the course, students will be able to:

understand the strengths and weaknesses of GPUs as accelerators
program GPU accelerated applications using both higher and lower level programming approaches
overcome problems and bottlenecks regarding data movement between host and device memories
make best use of independent execution queues for concurrent computing/data-movement operations
Target audience: 
Researchers and programmers interested in porting scientific applications or use efficient post-process and data-analysis techniques in modern heterogeneous HPC architectures.

Pre-requisites: 

A basic knowledge of C or Fortran is mandatory. Programming and Linux or Unix. A basic knowledge of any parallel programming technique/paradigm is recommended.

 

 

Intended for: 
Companies
Schools
Universities
Area: 
Languages
Provided as: 
Ordinary Course

Next courses

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Any question?

For HPC and computer graphics courses, write to corsi.hpc@cineca.it

About CINECA

Cineca is a non profit Consortium, made up of 70 Italian universities, 5 Italian Research Institutions and the Italian Ministry of Education.

Today it is the largest Italian computing centre, one of the most important worldwide. With more seven hundred employees, it operates in the technological transfer sector through high performance scientific computing, the management and development of networks and web based services, and the development of complex information systems for treating large amounts of data.

It develops advanced Information Technology applications and services, acting like a trait-d'union between the academic world, the sphere of pure research and the world of industry and Public Administration. .

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