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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