Performansi Implementasi Paralel OpenMP pada Persamaan Air Dangkal 2D untuk Simulasi Gelombang Runup

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DOI:

https://doi.org/10.34818/INDOJC.2020.5.1.395

Abstract

Terdapat banyak aliran dangkal di alam seperti tsunami, aliran banjir, aliran pada sungai, pasang surut air laut, dan sebagainya. Aliran dangkal dapat disimulasikan dengan menggunakan Persamaan Air Dangkal atau Shallow Water Equations (SWE). Salah satu fenomena nonlinear yang penting dalam aliran dangkal adalah fenomena runup. Khususnya untuk menyimulasikan fenomena runup secara akurat, perlakuan khusus pada implementasi numerik dari model gelombang harus dilakukan. Pada artikel ini, persamaan SWE diimplementasikan dengan metode Finite Volume pada grid komputasi dengan model momentum conservative staggered grid. Untuk meningkatkan performasi komputasi terutama untuk menyimulasikan domain komputasi yang besar dengan resolusi grid tinggi, pada paper ini skema numerik tersebut diimplementasikan dengan metode arsitektur OpenMP. Performansi algoritma paralel dikuantifikasi dengan menghitung speedup dan efisiensi. Dari hasil paralelisasi tersebut, didapatkan efisiensi pada waktu komputasi untuk kasus-kasus dengan jumlah grid komputasi yang besar.

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Author Biographies

Didit Adytia, School of Computing, Telkom University

Didit Adytia currently works at the School of Computing, Telkom University. He does research in Applied mathematics, Ocean Engineering, and Oceanography. He is working on phase resolving models ; model developments and applications of Boussinesq & Non-hydrostatic model, and phase averaged wave model ; for hindcasting, forecasting, and Tropical Cyclone reconstruction.

Novalianda Jeriano, School of Computing, Telkom University

Novalianda Jeriano is a student in School of Computing, Telkom University, Bandung, Indonesia.

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Published

2020-04-14

How to Cite

Adytia, D., & Jeriano, N. (2020). Performansi Implementasi Paralel OpenMP pada Persamaan Air Dangkal 2D untuk Simulasi Gelombang Runup. Indonesian Journal on Computing (Indo-JC), 5(1), 93–102. https://doi.org/10.34818/INDOJC.2020.5.1.395

Issue

Vol. 5 No. 1 (2020): Maret, 2020

Section

Computational and Simulation

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