### Table 5: Model of Algorithm 1 are well understood and the input matrix is not too small, we can predict the performance of Algorithm 1 on any distributed memory parallel computer. In Table 5, the predicted running time of each of the steps of Algorithm 1 is displayed. Summing the times in Table 5 yields:

### Table 2. Well-understood abbreviations.

### Table 2. Well-understood abbreviations.

1991

### Table 1.5: Magnetic moment predictions for lattice gauge calculations. The use of faster computers allows the use of ner lattice spacings. This will hope- fully make for more precise LGT calculations in the future. Even with the more sophisticated models and corrections to SQM, a single model which can successfully predict the magnetic moments of the baryons to the level of experimental measurements does not exist. Such a model would provide evidence that the interaction between quarks and gluons con ned within particles is well understood. 1.2 The Omega Minus Magnetic Moment The ? is a particularly simple system, consisting of three spin aligned strange quarks. It has an intrinsic spin (3/2) h, and a mass, m ?, of 1.672 GeV/c2 [36].

1995

### Table 16.2 shows that even at the relatively well understood level of the

### Table 2. Comparison of design flow models

"... In PAGE 7: ... Evaluation amp; Discussion The presented Design Flow Models allow for introducing design automation for well-understood subdomains of HW design more effectively by using higher-level abstractions. We compare the presented integration models in Table2 and evaluate them below. ... ..."