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Brno University of Technology, Czech Republic

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Brno University of Technology, Czech Republic

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National Taiwan University of Science and Technology, Taiwan, Province of China

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Ankara University, Turkey

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Institute of Medical Technology and Equipment, Poland

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VSB - Technical University of Ostrava, Czech Republic

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Academy of Sciences of the Czech Republic, Czech Republic

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University of Defence, Czech Republic

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Technical University of Radom, Poland

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Technical University of Kosice, Slovakia

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Hongik University, Korea

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Buryat State University, Russia

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University of Huddersfield, United Kingdom

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Ton Duc Thang University, Vietnam

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Ca’ Foscari University of Venice, Italy

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University of New Haven, United States of America

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Ton Duc Thang University, Vietnam

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Ton Duc Thang University, Vietnam

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VSB - Technical University of Ostrava, Czech Republic

Zbigniew Leonowicz
Wroclaw University of Science and Technology, Poland

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The University of Edinburgh, United Kingdom

Yuriy S. Shmaliy
Guanajuato University, Mexico

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Technical University of Cluj Napoca, Romania

Tran Trung Duy
Posts and Telecommunications Institute of Technology, Ho Chi Minh City, Vietnam

Xingwang Li
Henan Polytechnic University, China

Huynh Van Van
Ton Duc Thang University, Vietnam

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University of Pardubice, Czech Republic

Neeta Pandey
Delhi Technological University, India

Huynh The Thien
Ho Chi Minh City University of Technology and Education, Vietnam

Mauro Tropea
DIMES Department of University of Calabria, Italy

Gaojian Huang
Henan Polytechnic University, China

Nguyen Quang Sang
Ho Chi Minh City University of Transport, Vietnam

Anh-Tu Le
Ho Chi Minh City University of Transport, Vietnam

Phu Tran Tin
Ton Duc Thang University, Vietnam


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A Note on Massively Parallel Implementation of FETI for the Solution of Contact Problems

David Horak, Vaclav Hapla, Jakub Kruzik, Radim Sojka, Martin Cermak, Jiri Tomcala, Marek Pecha, Zdenek Dostal

DOI: 10.15598/aeee.v15i2.2321


Abstract

The paper deals with the solution of large multibody contact problems using massively parallel computers and domain decomposition methods. These methods can solve the problems discretized by billions of nodal variables at the cost nearly proportional to the number of variables using up to thousands cores before the communication costs start to dominate the computational costs. The paper describes the ingredients essential for efficient massively parallel implementation that increases the parallel scalability beyond the limit mentioned above. The improvements were enhanced into a new software package PERMON which is based on PETSc. The performance of the algorithm is demonstrated on the solution of an academic benchmark discretized by nearlybillion of nodal variables.

Keywords


Coarse problem; contact problems; MPRGP; PERMON; quadratic programming; SMALBE; TFETI.

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