Virtual Testbed: Ship Motion Simulation for Personal Workstations

Alexander Degtyarev, Vasily Khramushin, Ivan Gankevich, Ivan Petriakov, Anton Gavrikov, Artemii Grigorev

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

Abstract

Virtual testbed is a computer programme that simulates ocean waves, ship motions and compartment flooding. One feature of this programme is that it visualises physical phenomena frame by frame as the simulation progresses. The aim of the studies reported here was to assess how much performance can be gained using graphical accelerators compared to ordinary processors when repeating the same computations in a loop. We rewrote programme’s hot spots in OpenCL to able to execute them on a graphical accelerator and benchmarked their performance with a number of real-world ship models. The analysis of the results showed that data copying in and out of accelerator’s main memory has major impact on performance when done in a loop, and the best performance is achieved when copying in and out is done outside the loop (when data copying inside the loop involves accelerator’s main memory only). This result comes in line with how distributed computations are performed on a set of cluster nodes, and suggests using similar approaches for single heterogeneous node with a graphical accelerator.

Original languageEnglish
Title of host publicationComputational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings
EditorsBeniamino Murgante, Osvaldo Gervasi, Elena Stankova, Vladimir Korkhov, Sanjay Misra, Carmelo Torre, Eufemia Tarantino, David Taniar, Ana Maria A.C. Rocha, Bernady O. Apduhan
PublisherSpringer
Pages717-728
Number of pages12
ISBN (Print)9783030243043
DOIs
StatePublished - 29 Jun 2019
Event19th International Conference on Computational Science and Its Applications, ICCSA 2019 - Saint Petersburg, Russian Federation
Duration: 1 Jul 20194 Jul 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11622 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Computational Science and Its Applications, ICCSA 2019
CountryRussian Federation
CitySaint Petersburg
Period1/07/194/07/19

Keywords

  • GPGPU
  • OpenCL
  • Pressure field
  • Pressure force
  • Ship
  • Wavy surface
  • Wetted surface

Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Degtyarev, A., Khramushin, V., Gankevich, I., Petriakov, I., Gavrikov, A., & Grigorev, A. (2019). Virtual Testbed: Ship Motion Simulation for Personal Workstations. In B. Murgante, O. Gervasi, E. Stankova, V. Korkhov, S. Misra, C. Torre, E. Tarantino, D. Taniar, A. M. A. C. Rocha, ... B. O. Apduhan (Eds.), Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings (pp. 717-728). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11622 LNCS). Springer. https://doi.org/10.1007/978-3-030-24305-0_53
Degtyarev, Alexander ; Khramushin, Vasily ; Gankevich, Ivan ; Petriakov, Ivan ; Gavrikov, Anton ; Grigorev, Artemii. / Virtual Testbed: Ship Motion Simulation for Personal Workstations. Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings. editor / Beniamino Murgante ; Osvaldo Gervasi ; Elena Stankova ; Vladimir Korkhov ; Sanjay Misra ; Carmelo Torre ; Eufemia Tarantino ; David Taniar ; Ana Maria A.C. Rocha ; Bernady O. Apduhan. Springer, 2019. pp. 717-728 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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abstract = "Virtual testbed is a computer programme that simulates ocean waves, ship motions and compartment flooding. One feature of this programme is that it visualises physical phenomena frame by frame as the simulation progresses. The aim of the studies reported here was to assess how much performance can be gained using graphical accelerators compared to ordinary processors when repeating the same computations in a loop. We rewrote programme’s hot spots in OpenCL to able to execute them on a graphical accelerator and benchmarked their performance with a number of real-world ship models. The analysis of the results showed that data copying in and out of accelerator’s main memory has major impact on performance when done in a loop, and the best performance is achieved when copying in and out is done outside the loop (when data copying inside the loop involves accelerator’s main memory only). This result comes in line with how distributed computations are performed on a set of cluster nodes, and suggests using similar approaches for single heterogeneous node with a graphical accelerator.",
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Degtyarev, A, Khramushin, V, Gankevich, I, Petriakov, I, Gavrikov, A & Grigorev, A 2019, Virtual Testbed: Ship Motion Simulation for Personal Workstations. in B Murgante, O Gervasi, E Stankova, V Korkhov, S Misra, C Torre, E Tarantino, D Taniar, AMAC Rocha & BO Apduhan (eds), Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11622 LNCS, Springer, pp. 717-728, 19th International Conference on Computational Science and Its Applications, ICCSA 2019, Saint Petersburg, Russian Federation, 1/07/19. https://doi.org/10.1007/978-3-030-24305-0_53

Virtual Testbed: Ship Motion Simulation for Personal Workstations. / Degtyarev, Alexander; Khramushin, Vasily; Gankevich, Ivan; Petriakov, Ivan; Gavrikov, Anton; Grigorev, Artemii.

Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings. ed. / Beniamino Murgante; Osvaldo Gervasi; Elena Stankova; Vladimir Korkhov; Sanjay Misra; Carmelo Torre; Eufemia Tarantino; David Taniar; Ana Maria A.C. Rocha; Bernady O. Apduhan. Springer, 2019. p. 717-728 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11622 LNCS).

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

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AB - Virtual testbed is a computer programme that simulates ocean waves, ship motions and compartment flooding. One feature of this programme is that it visualises physical phenomena frame by frame as the simulation progresses. The aim of the studies reported here was to assess how much performance can be gained using graphical accelerators compared to ordinary processors when repeating the same computations in a loop. We rewrote programme’s hot spots in OpenCL to able to execute them on a graphical accelerator and benchmarked their performance with a number of real-world ship models. The analysis of the results showed that data copying in and out of accelerator’s main memory has major impact on performance when done in a loop, and the best performance is achieved when copying in and out is done outside the loop (when data copying inside the loop involves accelerator’s main memory only). This result comes in line with how distributed computations are performed on a set of cluster nodes, and suggests using similar approaches for single heterogeneous node with a graphical accelerator.

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Degtyarev A, Khramushin V, Gankevich I, Petriakov I, Gavrikov A, Grigorev A. Virtual Testbed: Ship Motion Simulation for Personal Workstations. In Murgante B, Gervasi O, Stankova E, Korkhov V, Misra S, Torre C, Tarantino E, Taniar D, Rocha AMAC, Apduhan BO, editors, Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings. Springer. 2019. p. 717-728. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-24305-0_53