Theoretical and Experimental DNA Computation (Natural ...
Theoretical and Experimental DNA Computation (Natural ...
Theoretical and Experimental DNA Computation (Natural ...
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96 4 Complexity Issues<br />
The final stage is to reduce HP to a branch-free graph. Since cycles have<br />
already been eliminated this involves merging conditional branches into a sequence<br />
of instructions. This is accomplished by the transformation illustrated<br />
in Fig. 4.9. In this process both branches of the conditional are executed; however,<br />
only the branch for which the condition is true will affect the contents<br />
of memory locations.<br />
Q<br />
C1<br />
s<br />
R<br />
C1<br />
C1^Q<br />
~C1^R<br />
Fig. 4.9. Merging of conditional branches<br />
If GP is the initial control graph of P <strong>and</strong> LP is the graph resulting after all<br />
of the transformations above have been effected, then LP is called the linear<br />
control graph of the program P .<br />
The total effect of the transformation described above is to replace the<br />
initial program by a sequence of instructions , wherem<br />
is at most a constant factor larger than the runtime of P .Furthermore,each<br />
instruction Qi has the form<br />
< condition >< active − instruction ><br />
where < condition > is a composition of a constant number of tests arising<br />
from JEQ instructions, <strong>and</strong> is any non-branching<br />
instruction. The interpretation of this form is that <br />
changes the contents of a memory location if <strong>and</strong> only if < condition > is<br />
true.<br />
We then convert the linear control graph into a series of combinational<br />
circuits. For each of the R(n) parallel processing (i.e., par do) instructions in<br />
SA we construct a combinational circuit Ck with the following specification:<br />
Ck takes as input r × S(n) Boolean values arranged in S(n) blocksofr bits<br />
(we assume, without loss of generality, that r ≤ S(n)); the values in the i th<br />
s