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10-18. : Adaptive Segmentation Schemes for Large Relational Database Machines, Database Machines, Leilich, H. O. and Missikoff, M. ), Springer-Verlag, 1983, pp. 293-318. : MPDC: Massive Parallel Architecture for Very Large Databases, Proc. InVl Conf. on Fifth Generation Computer Systems (1984), pp. 113-137. Initially published in "Computer Software", Vol. 2, No. 2, in Japanese. Adaptive Optimal Segmentation Schemes for Multiattribute Files Yuzuru Tanaka Electrical Engineering Department Hokkaido University Sapporo 060 Japan 53 Methods for Transforming Attribute Grammars into Efficient Action Routines Takehiro Tokuda Summary.

Place:=lexval(i) Fig. 6 Translation of arithmetic expressions. place. The procedure reduction() resets the contents of the parsing stack and the stack pointer when making reduce actions of the parser. The rationalization of the technique of the synchronous stack method is that we can allocate a stack position to each attribute occurrence, when there are only synthesized attributes. 2 The Simple Postfix Transformation This is a special form of the synchronous stack method. The simple postfix transformation eliminates occurrences of postfix synthesized attributes and replaces related semantic functions by output operations.

36) Let LA(V) and WA(V) be defined as LA(v) = card(leaves({Ttf)/A), WA{v) = C w o r < r t f , A ) . 5, we obtain (37) (38) Adaptive Optimal Segmentation Schemes for Multiattribute Files 41 WA(v) = LA(v) + max(WA{v o 0), WA(v o 1)). Let SA be defined as and S o {0,1} as (39) SA = {A(a)\ a G leaves(T)}, (40) 5 o {0,1} = {a o 0, a o 11 a G S}. (41) We also define LA(v) and W%(v) as LaA (v) = card(leaves((new(T, a, A^)\*)/A)), and W%{v) = Cworst{new(T,a, (42) (43) A^)\*,A). Now we obtain the following theorem.

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