Author
Listed:
- Michael Wagner
(Barcelona Supercomputing Center (BSC) and Universitat Politècnica de Catalunya (UPC))
- Germán Llort
(Barcelona Supercomputing Center (BSC) and Universitat Politècnica de Catalunya (UPC))
- Antonio Filgueras
(Barcelona Supercomputing Center (BSC) and Universitat Politècnica de Catalunya (UPC))
- Daniel Jiménez-González
(Barcelona Supercomputing Center (BSC) and Universitat Politècnica de Catalunya (UPC))
- Harald Servat
(Intel Corporation)
- Xavier Teruel
(Barcelona Supercomputing Center (BSC) and Universitat Politècnica de Catalunya (UPC))
- Estanislao Mercadal
(Barcelona Supercomputing Center (BSC) and Universitat Politècnica de Catalunya (UPC))
- Carlos Álvarez
(Barcelona Supercomputing Center (BSC) and Universitat Politècnica de Catalunya (UPC))
- Judit Giménez
(Barcelona Supercomputing Center (BSC) and Universitat Politècnica de Catalunya (UPC))
- Xavier Martorell
(Barcelona Supercomputing Center (BSC) and Universitat Politècnica de Catalunya (UPC))
- Eduard Ayguadé
(Barcelona Supercomputing Center (BSC) and Universitat Politècnica de Catalunya (UPC))
- Jesús Labarta
(Barcelona Supercomputing Center (BSC) and Universitat Politècnica de Catalunya (UPC))
Abstract
Heterogeneous systems are gaining more importance in supercomputing, yet they are challenging to program and developers require support tools to understand how well their accelerated codes perform and how they can be improved. The OpenMP Tools Interface (OMPT) is a new performance monitoring interface that is being considered for integration into the OpenMP standard. OMPT allows monitoring the execution of heterogeneous OpenMP applications by revealing the activity of the runtime through a standardized API as well as facilitating the exchange of performance information between devices with accelerated codes, and the analysis tool. In this paper we describe our efforts implementing parts of the OMPT specification necessary to monitor accelerators. In particular, the integration of the OMPT features to our parallel runtime system and instrumentation framework helps to obtain detailed performance information about the execution of the accelerated tasks issued to the devices to allow an insightful analysis. As a result of this analysis, the parallel runtime of the programming model has been improved. We focus on the evaluation of monitoring FPGA devices studying the performance of a common kernel in scientific algorithms: matrix multiplication. Nonetheless, this development is as well applicable to monitor GPU accelerators and Intel®; Xeon PhiTM co-processors operating under the OmpSs programming model.
Suggested Citation
Michael Wagner & Germán Llort & Antonio Filgueras & Daniel Jiménez-González & Harald Servat & Xavier Teruel & Estanislao Mercadal & Carlos Álvarez & Judit Giménez & Xavier Martorell & Eduard Ayguadé &, 2017.
"Monitoring Heterogeneous Applications with the OpenMP Tools Interface,"
Springer Books, in: Christoph Niethammer & José Gracia & Tobias Hilbrich & Andreas Knüpfer & Michael M. Resch & Wolfgang (ed.), Tools for High Performance Computing 2016, pages 41-57,
Springer.
Handle:
RePEc:spr:sprchp:978-3-319-56702-0_3
DOI: 10.1007/978-3-319-56702-0_3
Download full text from publisher
To our knowledge, this item is not available for
download. To find whether it is available, there are three
options:
1. Check below whether another version of this item is available online.
2. Check on the provider's
web page
whether it is in fact available.
3. Perform a
for a similarly titled item that would be
available.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-319-56702-0_3. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.