Online or onsite, instructor-led live OpenMP training courses demonstrate through interactive hands-on practice how to develop parallel applications for platforms from desktops to non-shared memory systems.
OpenMP training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Trojmiasto onsite live OpenMP trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Gdynia
Hotel Nadmorski, Ejsmonda 2, Gdynia, Poland, 81-409
The training room is located just 3 kilometers from the PKP/PKS Station in Gdynia, making it easily accessible for participants traveling by train or bus. Additionally, it is only 400 meters away from the bus stop, facilitating access even for those using public transportation. It is equipped with necessary training tools such as a projector, screen, and flipchart, providing comfortable conditions for both participants and the trainer.
Gdańsk
Hotel Fahrenheit, Grodzka 19, Gdańsk, Poland, 80-841
The training room is located in the very heart of the picturesque Gdansk Old Town, making the surroundings not only inspiring but also exceptionally attractive for participants. Within close proximity, you can find the railway and bus stations, facilitating arrival for those traveling by both train and bus. Additionally, the airport and port are also within reach, making this location convenient for individuals coming from distant places, both domestically and internationally.
This instructor-led, live training in Trojmiasto (online or onsite) is aimed at software engineers who wish to develop parallel applications using OpenMP.
By the end of this training, participants will be able to:
Understand and use parallel programming with Fortran in OpenMP.
Calculate fractals in parallel to render multiple pixels and characters.
Implement vector programming with SIMD extensions for HPC systems.
Add parallel blocks for specifying shared memory parallelism.
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