High Performance Computing Center North
Abstract: 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 comprises of a set of self-contained tasks that have well-defined inputs and outputs. This differs from the common practice of organizing an implementation into subroutines in that a task-based implementation 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 CPU cores and GPUs. One of the main benefits of this approach is that the underlying parallelism is exposed automatically as the runtime system gradually traverses the resulting task graph.
Content: 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.
Format: The course will be three half-days and comprises of lectures and hands-on sessions. This is an online-only course (Zoom).
Audience: This HPC2N course is part of the PRACE Training courses. It is open for academics and people who work at industry in PRACE member countries.
Time: 9:00-12:00 each day
Location: Online through Zoom
Instructors: Mirko Myllykoski (email@example.com)
Helpers: Birgitte Brydsö, Pedro Ojeda-May
Deadline for registration: 2021-05-01. Note: We may close registration earlier if the course fills up.
|Monday||Introduction to HPC2N
Introduction to Kebnekaise
Introduction to task-based parallelism
Introduction to OpenMP
|Tuesday||OpenMP task basics (part 1)
OpenMP task basics (part 2)
Example: LU factorization
|Wednesday||Introduction to StarPU
Demonstration: Two-sided matrix algorithms
Note that the hands-on will be done at HPC2N's systems, so for this you will need an account at SUPR and also at HPC2N. If you do not have such accounts, then you will be contacted about creating them.
Course project: As part of the hands-ons, you will be given temporary access to a course project, which will be used for running the hands-on examples. There are some policies regarding this, that we ask that you follow:
The course uses computing resources provided by the Swedish National Infrastructure for Computing (SNIC) at HPC2N partially funded by the Swedish Research Council through grant agreement no. 2018-05973.
Please fill in the below form to sign up. All fields marked with * are required. REGISTRATION CLOSED!