Difference between revisions of "Task-based parallelism in scientific computing (HPC2N/PRACE, May 2021)"
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|fields=High performance computing; parallel programming; GPU computing; OpenMP; Task-based parallelism | |fields=High performance computing; parallel programming; GPU computing; OpenMP; Task-based parallelism | ||
|event type=Course | |event type=Course | ||
| − | |location=Umeå | + | |location=Online, organized from Umeå |
|start date=2021-05-10 | |start date=2021-05-10 | ||
|end date=2021-05-12 | |end date=2021-05-12 | ||
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== Course overview == | == Course overview == | ||
| − | The purpose of the course is to learn when a code could benefit from task-based parallelism, and how to apply it. A task-based algorithm | + | The purpose of the course is to learn when a code could benefit from task-based parallelism, and how to apply it. A task-based algorithm does not call the associated computation kernels directly, instead it is the role of a runtime system to schedule the task to various computational resources, such as CPUs and GPUs. The main benefit is that the underlying parallelism is exposed automatically. The course mainly focuses on the task-pragmas implemented in the newer incarnations of OpenMP. Other task-based runtime systems, e.g., StarPU, and GPU offloading are briefly discussed. |
This course will be three half-days. It will have lectures as well as some hands-on sessions where you get to try out what you have just learned. | This course will be three half-days. It will have lectures as well as some hands-on sessions where you get to try out what you have just learned. | ||
Latest revision as of 17:05, 14 April 2021
| Name | Task-based parallelism in scientific computing (HPC2N/PRACE, May 2021) |
|---|---|
| Description | Task-based parallelism in scientific computing |
| Type of event | Course |
| Location | Online, organized from Umeå |
| Start date | 2021-05-10 |
| End date | 2021-05-12 |
Course overview
The purpose of the course is to learn when a code could benefit from task-based parallelism, and how to apply it. A task-based algorithm does not call the associated computation kernels directly, instead it is the role of a runtime system to schedule the task to various computational resources, such as CPUs and GPUs. The main benefit is that the underlying parallelism is exposed automatically. The course mainly focuses on the task-pragmas implemented in the newer incarnations of OpenMP. Other task-based runtime systems, e.g., StarPU, and GPU offloading are briefly discussed.
This course will be three half-days. It will have lectures as well as some hands-on sessions where you get to try out what you have just learned.
NOTE: Due to the COVID-19 situation, the course will be fully online, through Zoom.
This HPC2N/SNIC course is part of the PRACE Training courses. It is open for participants from PRACE member countries.
Course web page and registration
For more information and registration refer to the course webpage
