Standard

Implementation of a 3D model heat equation using fragmented programming technology. / Akhmed-Zaki, Darkhan; Lebedev, Danil; Perepelkin, Vladislav.

In: Journal of Supercomputing, Vol. 75, No. 12, 01.12.2019, p. 7827-7832.

Research output: Contribution to journal › Article › peer-review

Harvard

Akhmed-Zaki, D, Lebedev, D & Perepelkin, V 2019, 'Implementation of a 3D model heat equation using fragmented programming technology', Journal of Supercomputing, vol. 75, no. 12, pp. 7827-7832. https://doi.org/10.1007/s11227-018-2710-1

APA

Akhmed-Zaki, D., Lebedev, D., & Perepelkin, V. (2019). Implementation of a 3D model heat equation using fragmented programming technology. Journal of Supercomputing, 75(12), 7827-7832. https://doi.org/10.1007/s11227-018-2710-1

Vancouver

Akhmed-Zaki D, Lebedev D, Perepelkin V. Implementation of a 3D model heat equation using fragmented programming technology. Journal of Supercomputing. 2019 Dec 1;75(12):7827-7832. doi: 10.1007/s11227-018-2710-1

Author

Akhmed-Zaki, Darkhan ; Lebedev, Danil ; Perepelkin, Vladislav. / Implementation of a 3D model heat equation using fragmented programming technology. In: Journal of Supercomputing. 2019 ; Vol. 75, No. 12. pp. 7827-7832.

BibTeX

@article{3160a44a2a874bc8b8b0269935507ffb,
title = "Implementation of a 3D model heat equation using fragmented programming technology",
abstract = "Development of efficient numerical programs for large distributed parallel computers is a challenging problem. Many programming languages, systems and libraries exist and evolve to help with it, yet the problem is far from being solved. Of interest are particular application implementations{\textquoteright} studies, which reveal actual capabilities of a system in the real computation. In this paper, the implementation of an indicative 3D model heat equation parallel solver using fragmented programming technology and LuNA system is investigated. A comparative testing with conventional MPI implementation is presented. The pros and cons of the approach are analyzed for corresponding applications class.",
keywords = "LuNA fragmented programming system, Parallel programming automation, Pipelined Thomas algorithm, Scalable numerical algorithms",
author = "Darkhan Akhmed-Zaki and Danil Lebedev and Vladislav Perepelkin",
year = "2019",
month = dec,
day = "1",
doi = "10.1007/s11227-018-2710-1",
language = "English",
volume = "75",
pages = "7827--7832",
journal = "Journal of Supercomputing",
issn = "0920-8542",
publisher = "Springer Netherlands",
number = "12",

}

RIS

TY - JOUR

T1 - Implementation of a 3D model heat equation using fragmented programming technology

AU - Akhmed-Zaki, Darkhan

AU - Lebedev, Danil

AU - Perepelkin, Vladislav

PY - 2019/12/1

Y1 - 2019/12/1

N2 - Development of efficient numerical programs for large distributed parallel computers is a challenging problem. Many programming languages, systems and libraries exist and evolve to help with it, yet the problem is far from being solved. Of interest are particular application implementations’ studies, which reveal actual capabilities of a system in the real computation. In this paper, the implementation of an indicative 3D model heat equation parallel solver using fragmented programming technology and LuNA system is investigated. A comparative testing with conventional MPI implementation is presented. The pros and cons of the approach are analyzed for corresponding applications class.

AB - Development of efficient numerical programs for large distributed parallel computers is a challenging problem. Many programming languages, systems and libraries exist and evolve to help with it, yet the problem is far from being solved. Of interest are particular application implementations’ studies, which reveal actual capabilities of a system in the real computation. In this paper, the implementation of an indicative 3D model heat equation parallel solver using fragmented programming technology and LuNA system is investigated. A comparative testing with conventional MPI implementation is presented. The pros and cons of the approach are analyzed for corresponding applications class.

KW - LuNA fragmented programming system

KW - Parallel programming automation

KW - Pipelined Thomas algorithm

KW - Scalable numerical algorithms

UR - http://www.scopus.com/inward/record.url?scp=85057585295&partnerID=8YFLogxK

U2 - 10.1007/s11227-018-2710-1

DO - 10.1007/s11227-018-2710-1

M3 - Article

AN - SCOPUS:85057585295

VL - 75

SP - 7827

EP - 7832

JO - Journal of Supercomputing

JF - Journal of Supercomputing

SN - 0920-8542

IS - 12

ER -

ID: 17687368