The Optimization of Horizontal Microcode Within And Beyond Basic Blocks An Appl

Cover The Optimization of Horizontal Microcode Within And Beyond Basic Blocks An Appl
The Optimization of Horizontal Microcode Within And Beyond Basic Blocks An Appl
Joseph Fisher
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Is a task created to stand for the loop L . .
(4) Otherwise, B. Is a set of elements belonging to P, and for each such elemr- create a unique task t.
Let T = 119 MAKE_DATA_PRECEDENCE_GRAPH : INPUT: T, the set of tasks with all associated sets and functions. OUTPUT: A partial order on T. METHOD: We alter the algorithm given in Figure 5. 2 for finding the data-precedence in a set of MOPs as follows : (a) Conditional jump tasks (1) For each conditional jump task t. We have the set LVTOP(B. ) where
... B. Is the target block of the off the path jump at t . .
(2) With each register we have the set COND_READS_SINCE_WRITE which is treated essentially like READS_SINCE_WRITE. When we process t. In our graph formation, we add t. To each COND_READS_SINCE_WRITE (a, ), where a, G LVTOP (B. ) .
(3) For each task t. That writes a register a, we (i) Draw a STRICT edge from each element of COND READS SINCE WRITE (a, ) to t . .
— — — K J (ii) Clear COND_READS_SINCE_WRITE (a^^) (b) LOOP tasks (1) We defer consideration of loop invariance until it is needed in specific situations, thus the question of whether a task strictly or equally follows a loop task is considered during schedul- 120 ing, see SCHEDULE_PATH.


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