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  • The element subroutines in finite element method (FEM) provides enough parallelism to be successfully accelerated by contemporary GPUs. However, their efficient implementation is not straightforward and requires time-consuming exploration of numerous implementation variants. In this paper, we present optimization by kernel fusion for element subroutines. Moreover, we show how the optimization is automated using our source-to-source compiler. We demonstrate the optimization of the element subroutines for FEM model using St.\,Venant-Kirchhoff material. The performance of code generated by our compiler outperforms our previously published hand-tuned implementation by factor of 1.32 -- 1.54 depending on used GPU architecture. Although the optimization technique is demonstrated on element subroutines for using St.\,Venant-Kirchhoff material, it is generally usable for wider area of computationally-demanding problems.
  • The element subroutines in finite element method (FEM) provides enough parallelism to be successfully accelerated by contemporary GPUs. However, their efficient implementation is not straightforward and requires time-consuming exploration of numerous implementation variants. In this paper, we present optimization by kernel fusion for element subroutines. Moreover, we show how the optimization is automated using our source-to-source compiler. We demonstrate the optimization of the element subroutines for FEM model using St.\,Venant-Kirchhoff material. The performance of code generated by our compiler outperforms our previously published hand-tuned implementation by factor of 1.32 -- 1.54 depending on used GPU architecture. Although the optimization technique is demonstrated on element subroutines for using St.\,Venant-Kirchhoff material, it is generally usable for wider area of computationally-demanding problems. (en)
Title
  • Automatically Optimized GPU Acceleration of Element Subroutines in Finite Element Method
  • Automatically Optimized GPU Acceleration of Element Subroutines in Finite Element Method (en)
skos:prefLabel
  • Automatically Optimized GPU Acceleration of Element Subroutines in Finite Element Method
  • Automatically Optimized GPU Acceleration of Element Subroutines in Finite Element Method (en)
skos:notation
  • RIV/00216224:14330/12:00057469!RIV13-GA0-14330___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GD102/09/H042), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 124206
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/12:00057469
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • GPGPU; code optimization; kernel fusion; FEM (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [B81FC1457E12]
http://linked.open...v/mistoKonaniAkce
  • Argonne, IL, USA
http://linked.open...i/riv/mistoVydani
  • LOS ALAMITOS, CA, USA
http://linked.open...i/riv/nazevZdroje
  • Symposium on Application Accelerators in High Performance Computing
http://linked.open...in/vavai/riv/obor
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http://linked.open...iv/tvurceVysledku
  • Filipovič, Jiří
  • Fousek, Jan
  • Madzin, Matúš
  • Lakomý, Bedřich
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000309942800019
http://linked.open.../riv/zahajeniAkce
number of pages
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  • IEEE
https://schema.org/isbn
  • 9781467328821
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  • 14330
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