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 Nature
Number of pages12
ISBN (Print)9783030243043
Publication statusPublished - 29 Jun 2019
Event19th International Conference on Computational Science and Its Applications, ICCSA 2019 - Saint Petersburg
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


Conference19th International Conference on Computational Science and Its Applications, ICCSA 2019
CountryRussian Federation
CitySaint Petersburg

Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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