You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
    ss
  • technical reports and other articles issued by Mälardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

A Common Programming Model for High-performance Computing and Embedded Systems on Many-core Platforms

Speaker:

Raimund Kirner, University of Hertfordshire

Type:

Seminar

Start time:

2013-06-04 10:30

End time:

2013-06-04 11:30

Location:

U2-032

Contact person:



Description

Optimising software for efficiency on a parallel hardware platform by analysing the performance of the application is often a complex and time-consuming task. In this talk we present the coordination language S-Net, which follows the approach of separating concurrency programming and algorithmic programming. To reason about functional and extra-functional properties, we have developed a constraint annotation and aggregation system that allows programmers to annotate code with properties such as, for example, algorithmic complexity, scaling factors or the number of required cores. The goal is to derive properties of the entire application that are parametrised over characteristics of the execution platform to assist programmers in better understanding the behaviour of an application and to assist the execution platform in making informed mapping and scheduling decisions. I conclude with a summary of further language enhancements we are currently working on, motivated by our extensive industrial feedback.