Parallel conjugate gradient algorithms for solving the Neutron Diffusion Equation on SUPERNUM

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Parallel conjugate gradient algorithms for solving the Neutron Diffusion Equation on SUPERNUM

Full text

Pdf (774 KB)

Source

International Conference on Supercomputing archive
Proceedings of the 5th international conference on Supercomputing table of contents

Cologne, West Germany

Pages: 163 - 171

Year of Publication: 1991

ISBN:0-89791-434-1

Authors

A. Böhm	IMMD3, University of Erlangen-Nuremberg, Martensstr. 3, Hammerbacher Str. 12+14, D-8520 Erlangen, Germany
J. Brehm	IMMD3, University of Erlangen-Nuremberg, Martensstr. 3, Hammerbacher Str. 12+14, D-8520 Erlangen, Germany
H. Finnemann	Siemens AG Power Generation Group (KWU), Hammerbacher Str. 12+14, D-8520 Erlangen, Germany

Sponsor

SIGARCH: ACM Special Interest Group on Computer Architecture

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 14, Downloads (12 Months): 31, Citation Count: 2

Additional Information:

references cited by index terms collaborative colleagues

Tools and Actions:	Request Permissions Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/109025.109071 What is a DOI?

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	Ayk87	C. Aykanat, F. Ozguner: A Concurrent Error Detecting Conjugate Gradient Algorithm on a Hypercube Multiprocessor, FTCS 17, Pittsburgh 1987
	Boe89	A. Btihm: Parallelisierung und implementierung von vorkonditionierten konjugierten Gradientenverfahren auf dem SUPRENUM Simulationssystem, Studienarbeit am Lehrstuhl III des IMMD, Erlangen 1989
	Boe90	A. B6hm: Parallele L0sung der Neutronen Diffusionsgleichung mittels vorkonditionierter Gradientenverfahren auf Multiprozessoren mit verteiltem Speicher, Diplomarbeit am Lehrstuhl Iii des IMMD, Erlangen 1990
	Bro89	G. Radicati di Brozolo and Y. Robert:: Parallel Conjugate Gradient-like Algorithms for Solving Sparse Nonsymmetric Linear Systems on a Vector Multiprocessor, Parallel Computing 11 pp. 223-239, 1989
	Eva85	D.J. Evans: Sparsity and its Applications, Cambridge University Press, Sydney 1985
	Fin80	H. Finnemann, H. Raum: Nodal Expansion Method for the Analysis of Spacetime Effects in LWR, Proceedings of a Specialists Meeting on Calculation of 3-Dimensional Rating Distribution in Operating Reactors, OECD Publications, Paris 1980
	Fin90	H. Finnemann, BiJer, R. BOhm, R. Miiller: Evaluation of Safety Parameters in Nodal Reactor Calculations, IAEA Specialists Meeting for Power Reactors, Cadacache 10-14 Sept. 1990
	Fre81	R. Fremd: Die L0sung der reaktorkinetischen Gleichungen in zwei und drei Dimensionen mit der Methode der finiten Elemente, Dissertation lICE Stuttgart, 1981
	Gil86	W. Giloi et al.: The German Supercomputer Architecture- Rationale and Concepts, Proc. 1986 International Conference on Parallel Processing, pp. 567 - 575, IEEE Computer Soc. Press, Washington D.C. 1986
	Gol76	G. Golub et. al.: A Generalized Conjugate Gradient Method for the Numerical Solution of Elliptic Partial Differential Equations, in Sparse Matrix Computation Academic Press, New York 1976
	Gol83	G. Golub et. al.: Matrix Computations, North Oxford Academic Press, Oxford 1983
	Hwa85	Kai Hwang , Faye A. Briggs, Computer Architecture and Parallel Processing, McGraw-Hill, Inc., New York, NY, 1990
	Jor89	Jürgen Brehm , Harry F. Jordan, Parallelizing algorithms for MIMD architectures with shared memory, Proceedings of the 3rd international conference on Supercomputing, p.244-253, June 05-09, 1989, Crete, Greece [doi>10.1145/318789.318816]
	Ker78	D.S. Kershaw: The Incomplete Cholesky Conjugate Gradient Method for the Iterative Solution of Systems of Linear Equations, J. Comp. Phys. 26, pp. 43-65, 1978
	Mej77	J.A. Meijerink, H.A. Van der Vorst: An Iterative Solution Method for Systems of which the Coefficient Matrix is a Symmetric M-Matrix, Math. Comp. 31, pp. 148-162, 1977
	Nak77	S. Nakamura: Computational Methods in Engineering and Science, Wiley-Interscience, 1977

CITED BY 2

	Markus Siegle , Richard Hofmann, Monitoring program behaviour on SUPRENUM, ACM SIGARCH Computer Architecture News, v.20 n.2, p.332-341, May 1992
	R. Hofmann , R. Klar , B. Mohr , A. Quick , M. Siegle, Distributed Performance Monitoring: Methods, Tools, and Applications, IEEE Transactions on Parallel and Distributed Systems, v.5 n.6, p.585-598, June 1994