Efficient Parallel Programming with GASPI

This course will be provided ONLINE (using Zoom).

In this tutorial, we present an asynchronous data flow programming model for Partitioned Global Address Spaces (PGAS) as an alternative to the programming model of MPI.
GASPI, which stands for Global Address Space Programming Interface, is a partitioned global address space API (PGAS). The GASPI API is designed as a C/C++/Fortran library and focused on three key objectives: scalability, flexibility and fault tolerance. In order to achieve its much improved scaling behaviour, GASPI aims at asynchronous dataflow with remote completion, rather than bulk-synchronous message exchanges. GASPI follows a single/multiple program multiple data (SPMD/MPMD) approach and offers a small, yet powerful API (see also http://www.gpi-site.com).
GASPI is successfully used in academic and industrial simulation applications.

Hands-on sessions (in C) will allow users to immediately test and understand the basic constructs of GASPI.

This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves.

Location

Online course
Organizer: HLRS, University of Stuttgart, Germany

Registration

Start date

May 27, 2024
08:45

End date

May 28, 2024
15:30

Language

English

Entry level

Advanced

Course subject areas

Parallel Programming

Performance Optimization & Debugging

Topics

C/C++

Code Optimization

MPI

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Prerequisites and content levels

Prerequisites:

Familiarity with Linux and Linux editors is recommended.
Basics/principles of programming in C

Content levels:

Intermediate: 6 hours
Advanced: 7 hours

Learn more about course curricula and content levels.

Instructors

Dr. Daniel Gruenewald (Fraunhofer ITWM and NHR-SW) and Dr. Dirk Merten (Fraunhofer ITWM)

Agenda

CEST times:

Monday, May 27:
08:45-09:00 Login into Zoom
09:00-13:00 Lectures and exercises
14:00-17:30 Lectures and exercises

Tuesday, May 28:
09:00-13:00 Lectures and exercises
14:00-15:30 Lectures and exercises

Registration information

Register via the button at the top of this page.
We encourage you to register to the waiting list if the course is full. Places might become available.

Registration closes on May 12, 2023 (extended registration phase).

Late registrations are possible according to the course capacity. We also cannot guarantee cluster access for the exercises in case of registration after the deadline.

Fees

Students without master’s degree or equivalent at a German university: 0 Euro
Students without master’s degree or equivalent at a university in an EU, EU-associated or PRACE country other than Germany: 25 Euro
Students without master's degree or equivalent at a university outside of EU, EU-associated or PRACE countries: 25 Euro
PhD students or employees at a German university or public research institute: 0 Euro
PhD students or employees at a university or public research institute in an EU, EU-associated or PRACE country other than Germany: 90 Euro
PhD students or employees at a university or public research institute outside of EU, EU-associated or PRACE countries: 180 Euro
Other participants, e.g., from industry, other public service providers, or government: 420 Euro

Link to the EU and EU-associated (Horizon Europe), and PRACE countries.

Our course fees include coffee breaks (in classroom courses only).

Contact

Lorenzo Zanon, phone 0711 685 63824, zanon(at)hlrs.de

HLRS Training Collaborations in HPC

HLRS is part of the Gauss Centre for Supercomputing (GCS), together with JSC in Jülich and LRZ in Garching near Munich. EuroCC@GCS is the German National Competence Centre (NCC) for High-Performance Computing. HLRS is also a member of the Baden-Württemberg initiative bwHPC.

This course is provided within the framework of the bwHPC training program.

Further courses

See the training overview and the Supercomputing Academy pages.

Related training

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High-Performance Computing Center Stuttgart

Efficient Parallel Programming with GASPI

Location

Prerequisites and content levels

Prerequisites:

Content levels:

Instructors

Agenda

Registration information

Fees

Contact

HLRS Training Collaborations in HPC

Further courses

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