Free Access
Volume 23, Number 1, 1989
Page(s) 63 - 86
Published online 31 January 2017
  1. [BGH 86] M. BERRY, K. GALLIVAN, W. HARROD, W. JALBY, S. Lo, U. MEIER, B. PHILIPPE and A. H. SAMEH, Parallel algorithms on the CEDAR System, in CONPAR 86 (G. Goos and J. Hartmanis eds.) pp. 25-39, Lecture Notes in Computer Science 237, Springer Verlag (1986). [Google Scholar]
  2. [BV 85] C. BiSCHOFF and C. VAN LOAN, The WY représentationfor products of Householder matrices, Cornell University, Report DCS-85-681 (1985). [Zbl: 0628.65033] [Google Scholar]
  3. [Buc 86] W. BUCHHOLZ, The IBM System/370 vector architecture, IBM Systems Journal 25, 1 (1986) pp. 51-62. [Google Scholar]
  4. [CMRT 86] M. COSNARD, M. MARRAKCHI, Y. ROBERT and D. TRYSTRAM, Gaussian élimination algorithms for MIMD computers, in CONPAR 86 (G.Goos and J. Hartmanis eds.) pp. 247-254, Lecture Notes in Computer Science 237, Springer Verlag (1986). [Zbl: 0608.65017] [Google Scholar]
  5. [DD 85] C. DALY and J. J. DUCROZ, Performance of a subroutine library on vector processing machines, Computer Physics Communications 37 (1985) pp. 181-186. [MR: 817064] [Google Scholar]
  6. [Don 84] J. J. DONGARRA, Performance of various computers using Standard linear equations software in a Fortran environment, Argonne National Laboratory Report MCA-TM-23 (1984, updated December 1986). [Google Scholar]
  7. [DE 84] J. J. DONGARRAand S. C. EISENSTAT, Squeezing the most out of an algorithm in Cray Fortran, ACM Trans. Math. Software 10, 3 (1984) pp. 221-230. [MR: 791988] [Google Scholar]
  8. [DGK 84] J. J. DONGARRA, F. G. GUSTAVSON and A. KARP, Implementing linear algebra algorithms for dense matrices on a vector pipeline machine, SI AM Review 12, 1 (1984) pp. 91-112. [MR: 735077] [Zbl: 0539.65009] [Google Scholar]
  9. [DH 79] J. J. DONGARRA and A. R. HINDS, Unrolling loops in Fortran, Software -Practice and Expérience 9 (1979) pp. 219-229. [Zbl: 0393.68011] [Google Scholar]
  10. [DS 86] J. J. DONGARRA and D. C. SORENSEN, Linear algebra on high-performance computers, in Parallel Computing 85 (M. Feilmeier et al. eds.), pp. 221-230, Elsevier Science Publishers B. V. (1986). [MR: 852444] [Zbl: 0628.65016] [Google Scholar]
  11. [ESSL 86] Engineering and Scientific Subroutine Library, Order No. SC23-0184-0, available through IBM branch offices (1986). [Google Scholar]
  12. [FORT 86] VS FORTRAN Version 2 Programming Guide (Release 1.1), Order No. SC26-4222-1, available through IBM branch offices (1986). [Google Scholar]
  13. [GV 83] G. H. GOLUB and C. F. VAN LOAN, Matrix computations, The John Hopkins University Press (Baltimore, MA, 1983). [MR: 733103] [Zbl: 0559.65011] [Google Scholar]
  14. [LHKK 79] C. LAWSON, R. HANSON, D. KINCAID and F. KROGH, Basic linear algebras subprograms for Fortran usage, ACM Trans. Math. Software 5 (1979)algebras subp pp. 308-371. [Zbl: 0412.65022] [Google Scholar]
  15. [LKK 83] R. E. LORD, J. S. KOWALIK and S. P. KUMAR, Solving linear algebraic equations on an MIMD computer, J. ACM 30, 1 (1983) pp. 103-117. [MR: 694482] [Zbl: 0502.65017] [Google Scholar]
  16. [RS 86] Y. ROBERT and P. SGUAZZERO, The LU décomposition algorithm and its efficient FORTRAN implementation on the IBM 3090 vector multiprocessor, IBM ECSEC Technical Report (March 1987). [Google Scholar]
  17. [Tuc 86] S. G. TUCKER, The IBM 3090 system : an overview, IBM Systems Journal 25, 1 (1986) pp. 4-19. [Google Scholar]
  18. [VECT 86] IBM System/370 Vector Opérations, Order No. SA22-7125-0, available through IBM branch offices (1986). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.

Recommended for you