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Frédéric Magoulès Ecole Centrale Paris,, France

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Abal-Kassim Cheik Ahamed Ecole Centrale Paris,, France

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Roman Putanowicz Cracow University of Technology,, Poland

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Engineering problems involve the solution of large sparse linear systems, and require therefore fast and high performance algorithms for algebra operations such as dot product, and matrix-vector multiplication. During the last decade, graphics processing units have been widely used. In this paper, linear algebra operations on graphics processing unit for single and double precision (with real and complex arithmetic) are analyzed in order to make iterative Krylov algorithms efficient compared to central processing units implementation. The performance of the proposed method is evaluated for the Laplace and the Helmholtz equations. Numerical experiments clearly show the robustness and effectiveness of the graphics processing unit tuned algorithms for compressed-sparse row data storage.

  • [1]

    Cheik Ahamed A. K. & Magoules F. Iterative methods for sparse linear systems on graphics processing unit 14th IEEE International Conference on High Performance Computing and Communication, Liverpool, UK, 25-27 June 2012 836 842

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  • [2]

    Cheik Ahamed A. K. & Magoules F. Iterative Krylov methods for gravity problems on graphics processing unit 12th International Symposium on Distributed Computing and Applications to Business, Engineering Science (DCABES), Kingston upon Thames, Surrey, UK, 2-4 September 2013 16 20

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  • [3]

    Bahi J. M. , Couturier R. & Khodja L. Z. Parallel GMRES implementation for solving sparse linear systems on GPU clusters 19th High Performance Computing Symposia, Boston, MA, USA, 03-07 April 2011 12 19

    • Search Google Scholar
    • Export Citation
  • [4]

    Matam K. K. & Kothapalli K. Accelerating sparse matrix vector multiplication in iterative methods using GPU 2011 International Conference on Parallel Processing (ICPP’11), Taipei, Taiwan, 13-16 September 2011 612 621

    • Search Google Scholar
    • Export Citation
  • [5]

    Thompson C. J. , Hahn S. & Oskin M. Using modern graphics architectures for generalpurpose computing: a framework and analysis 35th Annual ACM/IEEE International Symposium on Microarchitecture, Los Alamitos, CA, USA, 3-7 April 2002 306 317

    • Search Google Scholar
    • Export Citation
  • [6]

    Bolz J. , Farmer I. , Grinspun E. & Schröoder P. Sparse matrix solvers on the GPU: conjugate gradients and multigrid ACM Trans. Graph. 2003 22 3 917 924

    • Search Google Scholar
    • Export Citation
  • [7]

    Krüger J. & Westermann R. Linear algebra operators for GPU implementation of numerical algorithms ACM Trans. Graph 2003 22 908 916

  • [8]

    Meredith J. , Bremer D. , Flath L. , Johnson J. , Jones H. , Vaidya S. & Frank R. The GAIA Project: Evaluation of GPU-based programming environments for knowledge discovery, Bericht Lawrence Livermore National Labs 2004

    • Search Google Scholar
    • Export Citation
  • [9]

    Owens J. D. , Luebke D. , Govindaraju N. , Krüger M. , Harris J. , Lefohn A. E. & Purcell T. J. A survey of general-purpose computation on graphics hardware EUROGRAPHICS Conference, ACM, Dublin, Ireland, 29 August-2 September 2005 21 51

    • Search Google Scholar
    • Export Citation
  • [10]

    NVIDIA: CUDA toolkit reference manual, 4th ed http://developer.nVidia.com/cudatoolkit-40 (last visited 19 March 2012)

  • [11]

    Khronos Group Inc. OpenCL Specification (1.0.29), OpenCL Working Group 12/8/2008

  • [12]

    NVIDIA: CUDA Programming Guide, 4th ed. http://developer.nVidia.com/cuda-toolkit-40 (last visited 07 March 2014)

  • [13]

    NVIDIA: CUDA 4.0 Best Practices Guide, 4th ed. http://developer.nVidia.com (last visited 07 March 2014)

  • [14]

    Cheik Ahamed A. K. & Magoules F. Fast sparse matrix-vector multiplication on graphics processing unit for finite element analysis 14th IEEE International High Performance Computing and Communication, Liverpool, UK, 25-27 June 2012 1307 1314

    • Search Google Scholar
    • Export Citation
  • [15]

    Saad Y. Iterative methods for sparse linear systems (2nd ed.) 2003 Philadelphia, PA, USA Society for Industrial and Applied Mathematics

    • Search Google Scholar
    • Export Citation
  • [16]

    Bell N. & Garland M. Efficient sparse matrix-vector multiplication on CUDA, Bericht 2008 NVidia Corporation Nr. NVR-2008-004

  • [17]

    Bell N. & Garland M. Implementing sparse matrix-vector multiplication on throughputoriented processors Conference on High Performance Computing Networking, Storage and Analysis (SC'09) Portland, Oregon, 14-20 November 2009 1 11

    • Search Google Scholar
    • Export Citation
  • [18]

    Cheik Ahamed A. K. & Magoules F. A stochastic-based optimized Schwarz method for the gravimetry equations on GPU clusters 21st International Conference on Domain Decomposition Methods, Rennes, France, June 25-29 2012 98 577 584 Springer-Verlag Lecture Notes in Computational Science and Engineering (LNCSE) 2014

    • Search Google Scholar
    • Export Citation
  • [19]

    Cheik Ahamed A. K. & Magoules F. Schwarz method with two-sided transmission conditions for the gravity equations on graphics processing unit 12th International Symposium on Distributed Computing and Applications to Business, Engineering Science (DCABES), Kingston upon Thames, Surrey, UK, 2-4 September 2013 105 109

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    • Export Citation
  • [20]

    Guo P. & Wang L. Auto-tuning CUDA parameters for sparse matrix-vector multiplication on GPUs International Conference on Computational and Information Sciences (ICCIS)', Chengdu, 17-19 December 2010 1154 1157

    • Search Google Scholar
    • Export Citation
  • [21]

    Cao W. , Yao L. , Li Z. , Wang Y. & Wang Z. Implementing sparse matrix-vector multiplication using CUDA based on a hybrid sparse matrix format International Conference on Computer Application and System Modeling (ICCASM 10'), Taiyuan, 22-24 October 2010 V11-161 V11-165

    • Search Google Scholar
    • Export Citation
  • [22]

    Wang T. , Yao Y. , Han L. , Zhang D. & Zhang Y. Implementation of Jacobi iterative method on graphics processor unit IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 09'), Shanghai, 20-22 November 2009 324 327

    • Search Google Scholar
    • Export Citation
  • [23]

    Zhang Z. , Miao Q. & Wang Y. CUDA-based Jacobi’s iterative method International Forum on Computer Science-Technology and Applications (IFCSTA 09'), Chongqing, 25-27 December 2009 259 262

    • Search Google Scholar
    • Export Citation
  • [24]

    Magoules F. , Diago L. A. & Hagivara I. Efficient preconditioning for image reconstruction with radial basis function Advances in Engineering Software 2007 38 5 320 327

    • Search Google Scholar
    • Export Citation
  • [25]

    Magoules F. & Gbikpi-Benissan G. Coarse space construction based on Chebyshev polynomials for graphic analysis Pollack Periodica 2014 In Press

    • Search Google Scholar
    • Export Citation
  • [26]

    Magoules F. , Diago L. A. & Hagiwara I. A two-level iterative method for image reconstruction with radial basis functions JSME International Journal 2005 48 2 149 159

    • Search Google Scholar
    • Export Citation
  • [27]

    Magoules F. , Meerbergen K. & Coyette J. P. Application of a domain decomposition method with Lagrange multipliers to acoustic problems arising from the automotive industry Journal of Computational Acoustics 2000 8 3 503 521

    • Search Google Scholar
    • Export Citation
  • [28]

    Harari I. & Magoules F. Numerical investigations of stabilized finite element computations for acoustics Wave Motion 2004 39 4 339 349

  • [29]

    Autrique J. C. & Magoules F. Analysis of a conjugated infinite element method for acoustic scattering Computers and Structures 2007 85 9 518 525

    • Search Google Scholar
    • Export Citation
  • [30]

    Autrique J. C. & Magoules F. Studies of an infinite element method for acoustical radiation Applied Mathematical Modeling 2006 30 7 641 655

    • Search Google Scholar
    • Export Citation
  • [31]

    Autrique J. C. & Magoules F. Numerical analysis of a coupled finite-infinite element method for exterior Helmholtz problems Journal of Computational Acoustics 2006 14 1 21 43

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    • Export Citation
  • [32]

    Hassani R. , Fazely A. , Choudhury R. & Luksch P. Analysis of sparse matrix-vector multiplication using iterative method in CUDA IEEE 8th International Conference on Networking, Architecture and Storage (NAS), Xi’an, 17-19 July 2013 262 266

    • Search Google Scholar
    • Export Citation
  • [33]

    Cheik Ahamed A. K. & Magoules F. Schwarz method with two-sided transmission conditions for the gravity equations on graphics processing unit 12th IEEE International High Performance Computing and Communication, Liverpool, UK, 25-27 June 2012 1307 1314

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  • Bálint Bachmann (Institute of Architecture, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Jeno Balogh (Department of Civil Engineering Technology, Metropolitan State University of Denver, Denver, Colorado, USA)
  • Radu Bancila (Department of Geotechnical Engineering and Terrestrial Communications Ways, Faculty of Civil Engineering and Architecture, “Politehnica” University Timisoara, Romania)
  • Charalambos C. Baniotopolous (Department of Civil Engineering, Chair of Sustainable Energy Systems, Director of Resilience Centre, School of Engineering, University of Birmingham, U.K.)
  • Oszkar Biro (Graz University of Technology, Institute of Fundamentals and Theory in Electrical Engineering, Austria)
  • Ágnes Borsos (Institute of Architecture, Department of Interior, Applied and Creative Design, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Matteo Bruggi (Dipartimento di Ingegneria Civile e Ambientale, Politecnico di Milano, Italy)
  • Petra Bujňáková (Department of Structures and Bridges, Faculty of Civil Engineering, University of Žilina, Slovakia)
  • Anikó Borbála Csébfalvi (Department of Civil Engineering, Institute of Smart Technology and Engineering, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Mirjana S. Devetaković (Faculty of Architecture, University of Belgrade, Serbia)
  • Szabolcs Fischer (Department of Transport Infrastructure and Water Resources Engineering, Faculty of Architerture, Civil Engineering and Transport Sciences Széchenyi István University, Győr, Hungary)
  • Radomir Folic (Department of Civil Engineering, Faculty of Technical Sciences, University of Novi Sad Serbia)
  • Jana Frankovská (Department of Geotechnics, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Slovakia)
  • János Gyergyák (Department of Architecture and Urban Planning, Institute of Architecture, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Kay Hameyer (Chair in Electromagnetic Energy Conversion, Institute of Electrical Machines, Faculty of Electrical Engineering and Information Technology, RWTH Aachen University, Germany)
  • Elena Helerea (Dept. of Electrical Engineering and Applied Physics, Faculty of Electrical Engineering and Computer Science, Transilvania University of Brasov, Romania)
  • Ákos Hutter (Department of Architecture and Urban Planning, Institute of Architecture, Faculty of Engineering and Information Technolgy, University of Pécs, Hungary)
  • Károly Jármai (Institute of Energy and Chemical Machinery, Faculty of Mechanical Engineering and Informatics, University of Miskolc, Hungary)
  • Teuta Jashari-Kajtazi (Department of Architecture, Faculty of Civil Engineering and Architecture, University of Prishtina, Kosovo)
  • Róbert Kersner (Department of Technical Informatics, Institute of Information and Electrical Technology, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Rita Kiss  (Biomechanical Cooperation Center, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest, Hungary)
  • István Kistelegdi  (Department of Building Structures and Energy Design, Institute of Architecture, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Stanislav Kmeť (President of University Science Park TECHNICOM, Technical University of Kosice, Slovakia)
  • Imre Kocsis  (Department of Basic Engineering Research, Faculty of Engineering, University of Debrecen, Hungary)
  • László T. Kóczy (Department of Information Sciences, Faculty of Mechanical Engineering, Informatics and Electrical Engineering, University of Győr, Hungary)
  • Dražan Kozak (Faculty of Mechanical Engineering, Josip Juraj Strossmayer University of Osijek, Croatia)
  • György L. Kovács (Department of Technical Informatics, Institute of Information and Electrical Technology, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Balázs Géza Kövesdi (Department of Structural Engineering, Faculty of Civil Engineering, Budapest University of Engineering and Economics, Budapest, Hungary)
  • Tomáš Krejčí (Department of Mechanics, Faculty of Civil Engineering, Czech Technical University in Prague, Czech Republic)
  • Jaroslav Kruis (Department of Mechanics, Faculty of Civil Engineering, Czech Technical University in Prague, Czech Republic)
  • Miklós Kuczmann (Department of Automations, Faculty of Mechanical Engineering, Informatics and Electrical Engineering, Széchenyi István University, Győr, Hungary)
  • Tibor Kukai (Department of Engineering Studies, Institute of Smart Technology and Engineering, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Maria Jesus Lamela-Rey (Departamento de Construcción e Ingeniería de Fabricación, University of Oviedo, Spain)
  • János Lógó  (Department of Structural Mechanics, Faculty of Civil Engineering, Budapest University of Technology and Economics, Hungary)
  • Carmen Mihaela Lungoci (Faculty of Electrical Engineering and Computer Science, Universitatea Transilvania Brasov, Romania)
  • Frédéric Magoulés (Department of Mathematics and Informatics for Complex Systems, Centrale Supélec, Université Paris Saclay, France)
  • Gabriella Medvegy (Department of Interior, Applied and Creative Design, Institute of Architecture, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Tamás Molnár (Department of Visual Studies, Institute of Architecture, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Ferenc Orbán (Department of Mechanical Engineering, Institute of Smart Technology and Engineering, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Zoltán Orbán (Department of Civil Engineering, Institute of Smart Technology and Engineering, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Dmitrii Rachinskii (Department of Mathematical Sciences, The University of Texas at Dallas, Texas, USA)
  • Chro Radha (Chro Ali Hamaradha) (Sulaimani Polytechnic University, Technical College of Engineering, Department of City Planning, Kurdistan Region, Iraq)
  • Maurizio Repetto (Department of Energy “Galileo Ferraris”, Politecnico di Torino, Italy)
  • Zoltán Sári (Department of Technical Informatics, Institute of Information and Electrical Technology, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Grzegorz Sierpiński (Department of Transport Systems and Traffic Engineering, Faculty of Transport, Silesian University of Technology, Katowice, Poland)
  • Zoltán Siménfalvi (Institute of Energy and Chemical Machinery, Faculty of Mechanical Engineering and Informatics, University of Miskolc, Hungary)
  • Andrej Šoltész (Department of Hydrology, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Slovakia)
  • Zsolt Szabó (Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Hungary)
  • Mykola Sysyn (Chair of Planning and Design of Railway Infrastructure, Institute of Railway Systems and Public Transport, Technical University of Dresden, Germany)
  • András Timár (Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Barry H. V. Topping (Heriot-Watt University, UK, Faculty of Engineering and Information Technology, University of Pécs, Hungary)

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Scopus  
Scopus
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Civil and Structural Engineering 232/326 (Q3)
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General Materials Science 329/455 (Q3)
Modeling and Simulation 228/303 (Q4)
Software 326/398 (Q4)
Scopus
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0,613

2020  
Scimago
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11
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Journal Rank
0,257
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Quartile Score
Civil and Structural Engineering Q3
Computer Science Applications Q3
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Scopus
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340/243=1,4
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Computer Science Applications 487/693 (Q3)
General Materials Science 316/455 (Q3)
Modeling and Simulation 217/290 (Q4)
Software 307/389 (Q4)
Scopus
SNIP
1,09
Scopus
Cites
321
Scopus
Documents
67
Days from submission to acceptance 136
Days from acceptance to publication 239
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Rate
48%

 

2019  
Scimago
H-index
10
Scimago
Journal Rank
0,262
Scimago
Quartile Score
Civil and Structural Engineering Q3
Computer Science Applications Q3
Materials Science (miscellaneous) Q3
Modeling and Simulation Q3
Software Q3
Scopus
Cite Score
269/220=1,2
Scopus
Cite Score Rank
Civil and Structural Engineering 206/310 (Q3)
Computer Science Applications 445/636 (Q3)
General Materials Science 295/460 (Q3)
Modeling and Simulation 212/274 (Q4)
Software 304/373 (Q4)
Scopus
SNIP
0,933
Scopus
Cites
290
Scopus
Documents
68
Acceptance
Rate
67%

 

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Pollack Periodica
Language English
Size A4
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Foundation
2006
Volumes
per Year
1
Issues
per Year
3
Founder Akadémiai Kiadó
Founder's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Publisher's
Address
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Publisher
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ISSN 1788-1994 (Print)
ISSN 1788-3911 (Online)

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