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Sunday, May 3, 2020 | History

3 edition of A parallel-vector algorithm for rapid structural analysis on high-performance computers found in the catalog.

A parallel-vector algorithm for rapid structural analysis on high-performance computers

A parallel-vector algorithm for rapid structural analysis on high-performance computers

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  • 11 Currently reading

Published by National Aeronautics and Space Administration, Langley Research Center, For sale by the National Technical Information Service in Hampton, Va, [Springfield, Va .
Written in English

    Subjects:
  • Equations, Simultaneous.,
  • Structural analysis (Engineering)

  • Edition Notes

    Other titlesParallel vector algorithm for rapid ....
    StatementOlaf O. Storaasli, Duc T. Nguyen, and Tarun K. Agarwal.
    SeriesNASA technical memorandum -- 102614.
    ContributionsNguyen, Duc T., Agarwal, Tarun K., Langley Research Center.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL18052451M

    K. W. Cameron, X. Feng and R. Ge, "Performance and Energy-Conscious Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters," Proceedings of the 17th IEEE/ACM High Performance Computing, Networking and Storage Conference (SC ), November , 15 pgs. The Journal of Supercomputing Volume 1, Number 4, August, Nigel P. Topham and Amos Omondi and Roland N. Ibbett On the Design and Performance of Conventional Pipelined Architectures.. Clyde P. Kruskal and Carl H. Smith On the Notion of Granularity Richard E. Anderson and Roger G. Grimes and Horst D. Simon Performance comparison of the CRAY X-MP/24 . On their Allocation Year Request Forms Principal Investigators reported 1, refereed publications (published or submitted) for the preceding 12 months, based on using, at least in part, NERSC resources.


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A parallel-vector algorithm for rapid structural analysis on high-performance computers Download PDF EPUB FB2

Agarwal, T.K., O.O. Storaasli and D.T. Nguyen, “A Parallel-Vector Algorithm for Rapid Structural Analysis on High-Performance Computers,” Proceedings of the 31 st Structures, Structural Dynamics and Materials Conference, Long Beach, California, pp, April Google ScholarAuthor: Due Thai Nguyen.

Agarwal, T.K., Storaasli, O.O. and Nguyen, D.T., “A Parallel-Vector Algorithm for A parallel-vector algorithm for rapid structural analysis on high-performance computers book Structural Analysis on High Performance Computers,” Proceedings of the AIAA/ASMEl ASCElAHS 31st SDM Conference, Long Beach, CA, April, AIAA paper # Google ScholarAuthor: Due Thai Nguyen.

Implementing Linear Algebra Algorithms for Dense Matrices on a Vector Pipeline Machine. Related Databases. A parallel-vector algorithm for rapid structural analysis on high-performance computers. Computers & StructuresParallel-vector solution of large-scale structural analysis problemson by: Agarwal, T.K., O.O.

Storaasli and D.T. Nguyen, “A Parallel-Vector Algorithm for Rapid Structural Analysis on High-Performance Computers”,Proceedings of the AIAA/ASME/ASCE/AHS 31st SDM Conference, Long Beach, CA, AIAA paper No. AprilGoogle ScholarAuthor: Due Thai Nguyen. For many important engineering and science applications [,], the coefficient matrix [A] “A Parallel-Vector Algorithm for Rapid Structural Analysis on High Performance Computers,” NASA-TM (March ) Author: Due Thai Nguyen.

American Institute of Aeronautics and Astronautics Sunrise Valley Drive, Suite Reston, VA Download Citation | Parallel-Vector Unsymmetrical Equation Solver | Unsymmetric matrices are not uncommon in large-scale structural analysis.

In panel flutter analysis, for example, one has to. “A Parallel-Vector Algorithm for Rapid Structural Analysis on High Performance Computers,” to appear in Computers and Structures Journal. Google Scholar Author: Due Thai Nguyen. Duc NGUYEN of Old Dominion University, Virginia (ODU) | Read 66 publications | Contact Duc NGUYEN A Parallel-Vector Algorithm for Rapid Structural Analysis on High-Performance Computers.

A parallel-vector equation solver for distributed memory computers In: Proceedings of the second symposium on parallel computational methods for large-scale structural analysis and design J Qin Dt. Pi: The Next Generation; pp problems are solved on various parallel-vector high-performance computers to show the effectiveness of the new method.

for Rapid Structural Analysis on. A parallel-vector algorithm for rapid structural analysis on high-performance computers [microform] / Ol A.

Krishna Shastri / K. Krishna Moorthy; Equity in public employment across nations /. Olaf O. Storaasli, Duc T. Nguyen and Tarun K. Agarwal, A Parallel-Vector Algorithm for Rapid Structural Analysis on High-Performance Computers, NASA TM, Aprilpp.

18, Also in AIAA Journal (Parallel-Vector Solution of Large-Scale Structural Analysis Problems on Supercomputers), Vol. 28, No. 7, p.and AIAA 31st SDM Paper. [–].

Modern high-performance computers (such as Cray-YMP, Cray-C90, Intel Paragon, IBM-SP2) have both parallel and vector capability, thus algorithms that exploit parallel and/or vector.

This chapter continues the presentation of a new parallel computational fluid dynamics (CFD) algorithm on unstructured grids. The chapter demonstrates the code's ability to solve the 3-D Navier-Stokes equations. The 2-D and 3-D results presented show excellent performance both.

In computing, a vector processor or array processor is a central processing unit (CPU) that implements an instruction set containing instructions that operate on one-dimensional arrays of data called vectors, compared to the scalar processors, whose instructions operate on single data processors can greatly improve performance on certain workloads, notably numerical simulation and.

SIAM Journal on Scientific and Statistical ComputingAbstract | PDF ( KB) () Large tridiagonal and block tridiagonal linear systems on vector and parallel by: Parallelization in space is a common strategy to speed up simulations on high performance computers, but eventually hits a scaling limit.

analyze the convergence of the multigrid waveform relaxation algorithm. This analysis is novel since it combines the semi-algebraic analysis, suitable for parabolic problems, with the non-standard. Povitsky, in Parallel Computational Fluid Dynamics1 Introduction.

Today's trend in Computational Science is characterized by quick shift from the von Neumann computer architecture representing a sequential machine executed scalar data to MIMD computers where multiple instruction streams render multiple data.

For implicit numerical methods, computations at each grid point are. Publisher Summary. Solving computational fluid-dynamics problems requires computers of very fast computation speed and large memory space. The measurement of communication time on an Ethernet network during parallel CFD is a difficult problem because of the random nature of message-passing and collision-handling protocol.

The International Journal of High Performance Computing Applications() Numerical experiments with preconditioning by gram matrix approximation for non-linear elliptic equations. Mathematics and Computers in SimulationCited by: Effectiveness of iterative solution strategies for the high frequency response of fluid-loaded structures.

Zhang, M.A. Baddourah, T.K. Agarwal, Parallel-vector computation for linear structural analysis and nonlinear unconstrained optimization problems, in: Proceedings of the Parallel Methods on Large Scale Structural Analysis and Cited by: 1. SIAM Journal on Numerical Analysis() An optimal finite element mesh for elastostatic structural analysis problems.

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The new edition offers a balanced treatment of theory, technology architecture and software used by advanced computer systems. It presents state-of-the-art principles and techniques for designing and programming parallel, vector, and scalable computer systems. Storassli, D.T. Nguyen and T.K. Agarwal, A parallel-vector algorithm for rapid structural analysis on high-performance computers, NASA Technical MemorandumApril, [34] S.C.

Eisenstat, Efficient implementation of a class of preconditioned conjugate gradient methods, SIAM J. Sci. Stat. Comput. 2(1) () [35]Cited by: Audio Books & Poetry Community Audio Computers, Technology and Science Music, Arts & Culture News & Public Affairs Non-English Audio Spirituality & Religion.

Librivox Free Audiobook. Full text of "Introduction To High Performance Scientific Computing" See other formats. Doctoral Dissertation Abstracts (M – Z) Following is a complete list of doctoral graduates of the Department of Computer Science, with their dissertation titles.

Graduates of other departments or schools, whose primary adviser was a member of the Department of Computer Science, are also listed. I Theory 11 1 Single-processor Computing 12 The Von Neumann architecture 12 Modern processors 14 Memory Hierarchies 21 Multicore architectures 36 Locality and data reuse 39 Programming strategies for high performance 46 Power consumption 61 Review questions 63 2 Parallel Computing 65 Introduction 65 Dr.

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