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This course will be streamed only for the registered participants. Registered participants will receive specific information directly from the respective course’s organizers.
We currently live in the era of multicore computers, where almost every computing machine has many CPUs. In order to benefit from this computational power, we need to devise programs explicitly written for parallel machines. Nowadays there are several paradigms to write parallel code, and in this crash course we will focus on OpenMP. This is a minimally invasive open-source parallelization method that allows, in many cases, fast and straight-forward parallelization of currently working serial codes. OpenMP is meant for compiled code (eg C++ or Fortran) that run in a single computing node, but we will also visit some alternatives for Python, along with a short overview of parallelization over distributed memory machines via MPI.
This course is addressed to researchers who want to take their first steps in parallel computing. We will assume no previous knowledge of OpenMP (nor other parallelization techniques) from the participants.
At the end of the course, the participants are expected to:
understand and be able to implement basic parallelization methods with OpenMP
Participants should be comfortable working in a Linux/UNIX environment and have some basic experience in programming. Some knowledge of C/C++ or Fortran is desirable, although not necessary.
The course is free of charge, but registration is mandatory. Please note that participation to SIB courses is subject to our general conditions.
You will be informed by email of your registration confirmation.
The course will be hosted online.
The course will start at 9:00 and end around 17:00. Precise information will be provided to the participants in due time.
Coordination: Ariadna Adell Cases and Rubén Cabezón
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