caa a22 4500 477074618 CHVBK 20180405111436.0 cr unu---uuuuu 170330e19961201xx s 000 0 eng 10.1007/BF02900848 doi (NATIONALLICENCE)springer-10.1007/BF02900848 Chi Xuebin Institute of Software, Academia Sinica, 100080, Beijing, China aut Parallel efficiency for solving linear systems on dawn1000 [Elektronische Daten] [Xuebin Chi] Here we give a parallelLU decomposition method using block technique. The triangular systems are solved by using modified method of [1]. The numerical results are tested on Dawn 1000 multiprocessor system. From these results, we see that block technique is very important in matrix operations. In our method of solving linear system, single processor can get 44MFOLPS, and 32 processors can get 1117MFLOPS in single precision operation, i.e., the speed up of 32 processors is over 25. Springer, 1996 Wuhan University Journal of Natural Sciences Wuhan University 1/3-4(1996-12-01), 317-320 1007-1202 1:3-4<317 1996 1 11859 https://doi.org/10.1007/BF02900848 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF02900848 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Chi Xuebin Institute of Software, Academia Sinica, 100080, Beijing, China aut NATIONALLICENCE 773 0- Wuhan University Journal of Natural Sciences Wuhan University 1/3-4(1996-12-01), 317-320 1007-1202 1:3-4<317 1996 1 11859 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer