Efficient Parallel Programming with GASPI

Course/Event Essentials

Event/Course Start
Event/Course End
Event/Course Format
Online
Live (synchronous)

Venue Information

Country: Germany
Venue Details: Click here

Training Content and Scope

Level of Instruction
Intermediate
Advanced
Sector of the Target Audience
Research and Academia
Industry
Public Sector
HPC Profile of Target Audience
Application Users
Application Developers
Data Scientists
System Administrators
Language of Instruction

Other Information

Organiser
Event/Course Description

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.gaspi.de and 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.