ATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAAGTAC
TGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAACGGTCCTTAAGCTGTATTGCACCATATGACG
GATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTTCGGTCCTTAAGCTGTATTCCTTAACAACGGTCCTTAAGG
ATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAAGTAC
TGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAACGGTCCTTAAGCTGTATTGCACCATATGACG
GATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTTCGGTCCTTAAGCTGTATTCCTTAACAACGGTCCTTAAGG
First Steps in Parallelization with OpenMP
17 November 2021
For-profit: 0 CHF
Next course(s):
19 May 2022 | Streamed | |
23 Nov 2022 | Streamed | |
02 May 2023 | Streamed | |
07 May 2024 | Streamed | |
20 May 2025 | Streamed |
Overview
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.
Audience
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 of other parallelization techniques) from the participants.
Learning objectives
At the end of the course, the participants are expected to:
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understand and be able to implement basic parallelization methods with OpenMP
Prerequisites
Knowledge / competencies
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.
Application
There is no registration fee for this course.
You will be informed by email of your registration confirmation.
Venue and Time
This course will be streamed.
The course will start at 9:00 CET and end around 17:00 CET.
Precise information will be provided to the participants before the course.
Additional information
Coordination: Monique Zahn, SIB Training Group.
You are welcome to register to the SIB courses mailing list to be informed of all future courses and workshops, as well as all important deadlines using the form here.
Please note that participation in SIB courses is subject to our general conditions.
SIB abides by the ELIXIR Code of Conduct. Participants of SIB courses are also required to abide by the same code.
For more information, please contact training@sib.swiss.