Scientific Computing on Supercomputers II
(Sprache: Englisch)
The International Workshop on "The Use of Supercomputers in Theoretical Science" took place on November 29 and 30, 1989 at the University of Antwerp (UIA), Antwerpen, Belgium. It was the fifth in a series of workshops, the first of which took place in 1984....
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Klappentext zu „Scientific Computing on Supercomputers II “
The International Workshop on "The Use of Supercomputers in Theoretical Science" took place on November 29 and 30, 1989 at the University of Antwerp (UIA), Antwerpen, Belgium. It was the fifth in a series of workshops, the first of which took place in 1984. The principal aim of these workshops is to present the state-of-the-art in scientific large scale and high speed computation. Computational science has developed into a third methodology equally important now as its theoretical and experimental companions. Gradually academic researchers acquired access to a variety of supercomputers and as a consequence computational science has become a major tool for their work. It is a pleasure to thank the Belgian National Science Foundation (NFWO-FNRS) and the Ministry of Scientific Affairs for sponsoring the workshop. It was organized both in the framework of the Third Cycle "Vectorization, Parallel Processing and Supercomputers" and the "Governemental Program in Information Technology"~ We also very much would like to thank the University of Antwerp (Universitaire Instelling Antwerpen - UIA) for financial and material support. Special thanks are due to Mrs. H. Evans for the typing and editing of the manuscripts and for the preparation of the author and subject index.
Inhaltsverzeichnis zu „Scientific Computing on Supercomputers II “
'Vectorization, Optimization and Supercomputer Architecture.- Abstract.- 1. The architecture of vector computers.- 2. Arithmetic operations, memory bandwidth and memory access.- 3. Data structures and the design of algorithms.- 4. Matrix multiplication and related problems.- 5. Red-black SOR and diagonal storing of matrices.- 6. The linear first order recurrence.- 7. Generation of random numbers.- 8. Supercomputer software independent of a special architecture.- 9. Concluding remarks.- 10. References.- Vectorization of Some General Purpose Algorithms.- Abstract.- I. Introduction.- II. The vector concept in Fortran-200.- III. Main vector extensions in Fortran-200.- III.A. Vector variables and vector assignments.- III.A.1. Explicit vector reference.- III.A.2. Implicit vector reference.- III.A.3. Vector functions.- III.B. Vector flow control.- IV. Intrinsic functions.- IV.A. Scalar functions with scalar arguments.- IV.B. The intrinsic V-functions.- IV.C. The intrinsic Q8-functions.- IV.C.1. Initialization of a vector.- IV.C.2. Extracting scalar information from vectors.- IV.C.3. Extracting vector information from vectors.- IV.C.4. Reversion, compression, expansion, merging, ... of vectors.- IV.C.5. Gather and scatter operations.- V. Practical examples.- V.A. Integration with equally-spaced abscissas.- V.B. Gaussian quadrature.- V.C. Chebychev approximation.- Conclusion.- References.- ASTRID: a Programming Environment for Scientific Applications on Parallel Vector Computers.- Abstract.- 1. Introduction.- 2. Organization of ASTRID.- 2.1. Application modules.- 2.2. Special characteristics.- Hardware environment.- Subdomain decomposition.- Structured meshing.- Adaptive mesh refinement.- 3. ASTRID command language.- 3.1. User interface.- 3.2. Command syntax.- Lne syntax.- Keywords.- Attributes.- Comments.- Procedures.- Macro lines.- Constants.- Variables and expressions.- Control statements.- Scripts.- 3.2. Database commands.- 4. MiniM: mini-modeller to define the
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geometry.- 4.1. Create database objects.- 4.2. Modify database objects.- 4.3. Remove database objects.- 5. CASE: interface to define physical quantities.- 5.1. Analysis directives.- 5.2. Boundary conditions.- 5.3. Material constants.- 6. Mesh: numerical mesh.- 6.1. Autoadaptive mesh.- 6.2. Mesh one subdomain.- 6.3. Mesh all subdomains.- 7. Solve: solves the problem.- 7.1. Construction of the matrix and right hand side.- 7.2. Direct matrix solver.- 7.3. Iterative matrix solvers.- 8. BASPL: graphics system.- 8.1. Fundamental remarks.- 8.2. Functionalities of BASPL.- 9. Application: distribution of electrical contacts.- 9.1. The physical problem.- 9.2. MiniM.- 9.3. CASE.- 9.4. SOLVE.- 9.5. Numerical results.- 9.6. BASPL.- Acknowledgments.- References.- Large Scale Computations in Solid State Physics.- I. Introduction.- II. Numerical procedures.- 1. Matrix diagonalization.- 1.1. The recursive method.- 1.2. The RMS-DIIS method.- 2. Iterative solution of the self-consistent matrix.- 2.1. Simple iterations.- 2.2. Mixing procedures.- 2.3. An improved iteration scheme.- III. Summary of the results.- IV. Acknowledgment.- Appendix A: the density functional theory.- Appendix B: the pseudopotential theory and plane wave expansion.- References.- Could User-friendly Supercomputers be Designed?.- Abstract.- 1. Introduction.- 2. The requirements for a supercomputer in engineering sciences.- 2.1. Performance and balanced system.- 2.2. Data transfer operations.- 2.3. Scalar performance.- 2.4. Programming language.- 2.5. Summary of requirements.- 3. Parallel architectures.- 4. The continuous pipe vector computer (CPVC).- 4.1. Memory bandwidth.- 4.2. Local and extended memory.- 4.3. Number of pipes.- 4.4. Memory organization.- 4.5. Pipe switch and delay register.- 4.6. Building blocks and marketing considerations.- 4.7. Fail-safe system.- 4.8. The continuous pipe.- 4.9. Vector dependencies.- 4.10.
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Bibliographische Angaben
- 2011, Softcover reprint of the original 1st ed. 1990, 260 Seiten, Maße: 17 x 24,4 cm, Kartoniert (TB), Englisch
- Herausgegeben: Jozef T. Devreese
- Verlag: Springer, Berlin
- ISBN-10: 1461279143
- ISBN-13: 9781461279143
Sprache:
Englisch
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