2D-FMFI SAR application on HPC architectures with OmpSs parallel programming model

Fisnik Kraja, Arndt Bode, Xavier Martorell

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Spacecraft on-board platforms will soon contain high performance off-the-shelf computing components, as the only way to deal with applications which require High Performance Computing (HPC) capabilities. Heterogeneous architectures, give the possibility to profit from specific features of such components, by combining them on the same computing platform. Such architectures integrate different multicore CPUs with many-core accelerators (GPGPUs) so that parts of the same application can efficiently execute on the CPU while other parts can profit more from the GPU features. The problem stands in the way how to program these heterogeneous architectures. In this paper we introduce the OmpSs Programming Model as a framework to program heterogeneous architectures. For benchmarking purposes, we use a Synthetic Aperture Radar (SAR) application, which we parallelized with OmpSs for Symmetric Multi-Processor (SMP) architectures and for hybrid SMP/GPU environments. We also compare the results obtained with OmpSs with the ones obtained with OpenMP in SMP environments and it turns out that OmpSs outperforms OpenMP. When applying OmpSs to the SAR code for hybrid architectures, OmpSs does not offer better performance than CUDA, but it offers support for heterogeneous architectures and it also increases programmer's productivity.

Original languageEnglish
Title of host publicationProceedings of the 2012 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2012
Pages115-121
Number of pages7
DOIs
StatePublished - 2012
Event2012 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2012 - Erlangen, Germany
Duration: 25 Jun 201228 Jun 2012

Publication series

NameProceedings of the 2012 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2012

Conference

Conference2012 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2012
Country/TerritoryGermany
CityErlangen
Period25/06/1228/06/12

Keywords

  • CUDA
  • GPU
  • OmpSs
  • OpenMP
  • SAR
  • SMP
  • Space Applications

Fingerprint

Dive into the research topics of '2D-FMFI SAR application on HPC architectures with OmpSs parallel programming model'. Together they form a unique fingerprint.

Cite this