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 language | English |
|---|---|
| Title of host publication | Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings |
| Editors | Beniamino Murgante, Osvaldo Gervasi, Elena Stankova, Vladimir Korkhov, Sanjay Misra, Carmelo Torre, Eufemia Tarantino, David Taniar, Ana Maria A.C. Rocha, Bernady O. Apduhan |
| Publisher | Springer |
| Pages | 717-728 |
| Number of pages | 12 |
| ISBN (Print) | 9783030243043 |
| DOIs | |
| Publication status | Published - 29 Jun 2019 |
| Event | 19th International Conference on Computational Science and Its Applications, ICCSA 2019 - Saint Petersburg Duration: 1 Jul 2019 → 4 Jul 2019 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 11622 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 19th International Conference on Computational Science and Its Applications, ICCSA 2019 |
|---|---|
| Country | Russian Federation |
| City | Saint Petersburg |
| Period | 1/07/19 → 4/07/19 |
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Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
Cite this
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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
TY - GEN
T1 - Virtual Testbed: Ship Motion Simulation for Personal Workstations
AU - Degtyarev, Alexander
AU - Khramushin, Vasily
AU - Gankevich, Ivan
AU - Petriakov, Ivan
AU - Gavrikov, Anton
AU - Grigorev, Artemii
PY - 2019/6/29
Y1 - 2019/6/29
N2 - 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.
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.
KW - GPGPU
KW - OpenCL
KW - Pressure field
KW - Pressure force
KW - Ship
KW - Wavy surface
KW - Wetted surface
UR - http://www.scopus.com/inward/record.url?scp=85068622160&partnerID=8YFLogxK
UR - http://www.mendeley.com/research/virtual-testbed-ship-motion-simulation-personal-workstations
U2 - 10.1007/978-3-030-24305-0_53
DO - 10.1007/978-3-030-24305-0_53
M3 - Conference contribution
AN - SCOPUS:85068622160
SN - 9783030243043
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 717
EP - 728
BT - Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings
A2 - Murgante, Beniamino
A2 - Gervasi, Osvaldo
A2 - Stankova, Elena
A2 - Korkhov, Vladimir
A2 - Misra, Sanjay
A2 - Torre, Carmelo
A2 - Tarantino, Eufemia
A2 - Taniar, David
A2 - Rocha, Ana Maria A.C.
A2 - Apduhan, Bernady O.
PB - Springer
ER -