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dc.contributor.authorErgül, Özgür
dc.contributor.authorFeki, Saber
dc.contributor.authorAl-Jarro, Ahmed
dc.contributor.authorClo, Alain M.
dc.contributor.authorBagci, Hakan
dc.date.accessioned2015-08-03T11:52:30Z
dc.date.available2015-08-03T11:52:30Z
dc.date.issued2014-04
dc.identifier.issn10459243
dc.identifier.doi10.1109/MAP.2014.6837098
dc.identifier.urihttp://hdl.handle.net/10754/563479
dc.description.abstractGraphics processing units (GPUs) are gradually becoming mainstream in high-performance computing, as their capabilities for enhancing performance of a large spectrum of scientific applications to many fold when compared to multi-core CPUs have been clearly identified and proven. In this paper, implementation and performance-tuning details for porting an explicit marching-on-in-time (MOT)-based time-domain volume-integral-equation (TDVIE) solver onto GPUs are described in detail. To this end, a high-level approach, utilizing the OpenACC directive-based parallel programming model, is used to minimize two often-faced challenges in GPU programming: developer productivity and code portability. The MOT-TDVIE solver code, originally developed for CPUs, is annotated with compiler directives to port it to GPUs in a fashion similar to how OpenMP targets multi-core CPUs. In contrast to CUDA and OpenCL, where significant modifications to CPU-based codes are required, this high-level approach therefore requires minimal changes to the codes. In this work, we make use of two available OpenACC compilers, CAPS and PGI. Our experience reveals that different annotations of the code are required for each of the compilers, due to different interpretations of the fairly new standard by the compiler developers. Both versions of the OpenACC accelerated code achieved significant performance improvements, with up to 30× speedup against the sequential CPU code using recent hardware technology. Moreover, we demonstrated that the GPU-accelerated fully explicit MOT-TDVIE solver leveraged energy-consumption gains of the order of 3× against its CPU counterpart. © 2014 IEEE.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectexplicit marching-on-in-time scheme
dc.subjectgraphics processing unit (GPU)
dc.subjectOpenACC
dc.subjectparallel processing
dc.subjectparallel programming
dc.subjectTime domain volume integral equation
dc.titleOpen problems in CEM: Porting an explicit time-domain volume-integral- equation solver on GPUs with OpenACC
dc.typeArticle
dc.contributor.departmentKAUST Supercomputing Laboratory (KSL)
dc.contributor.departmentResearch Applications
dc.identifier.journalIEEE Antennas and Propagation Magazine
dc.contributor.institutionDepartment of Electrical and Electronics Engineering, Middle East Technical University, 06800 Ankara, Turkey
dc.contributor.institutionDivision of Computer, Electrical and Mathematical Sciences and Engineering, University College London, London WC1E 7JE, United Kingdom
dc.contributor.institutionPhotonics Group, Department of Electronic and Electrical Engineering, University College London, London WC1E 7JE, United Kingdom
kaust.personClo, Alain M.


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