[ONLINE] Introduction to CUDA Programming @ BSC

All PATC Courses at BSC do not charge fees.

Convener: 
Antonio Peña, Computer Sciences Senior Researcher, Accelerators and Communications for High Performance Computing, BSC

Objectives: 

The aim of this course is to provide students with knowledge and hands-on experience in developing applications software for processors with massively parallel computing resources. In general, we refer to a processor as massively parallel if it has the ability to complete more than 64 arithmetic operations per clock cycle. Many commercial offerings from NVIDIA, AMD, and Intel already offer such levels of concurrency. Effectively programming these processors will require in-depth knowledge about parallel programming principles, as well as the parallelism models, communication models, and resource limitations of these processors.

The target audiences of the course are students who want to develop exciting applications for these processors, as well as those who want to develop programming tools and future implementations for these processors.

Level: INTERMEDIATE: for trainees with some theoretical and practical knowledge; those who finished the beginners course

ADVANCED: for trainees able to work independently and requiring guidance for solving complex problems

Prerequisites: Basics of C programming and concepts of parallel processing will help, but are not critical to follow the lectures.

Further information:

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