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Fig. 2. Method 2 for Perturbation
because the estimates for bin width separation are not correct. We do not aim to
obtain a balance for bin widths but only for row widths. In the second method
the wire length during cell swapping stage correlates well with spread out cost.
3.3 Greedy Cell Swapping
In this stage, initially, all the cells for the bins are spread out. Then we randomly
pick two cells in suciently close vicinity and see if swapping their coordinates
with each other can reduce the wire length. The swapping is done in such a way
that there does not exist any overlap between the adjacent cells. All the cells to
the right of the selected cells are spread out.
Tabl e 1. Characteristics of IBM version 2 benchmarks
Circuits
Cell Count Net Count Rows core utilization
IBM01 easy
12028
11753
132
85.12%
IBM01 hard
12028
11753
130
88.00%
IBM02 easy
19062
18688
153
90.42%
IBM02 hard
19062
18688
149
95.28%
IBM07 easy
44811
44681
233
89.95%
IBM07 hard
44811
44681
226
95.30%
IBM08 easy
50672
48230
243
90.03%
IBM08 hard
50672
48230
236
95.16%
IBM09 easy
51382
50678
246
90.24%
IBM09 hard
51382
50678
240
95.12%
IBM10 easy
66762
64971
321
90.22%
IBM10 hard
66762
64971
313
95.08%
IBM11 easy
68046
67422
281
90.11%
IBM11 hard
68046
67422
273
95.33%
4 Experimental Results and Conclusion
We selected the IBM version 2.0 benchmarks to test our tool. These benchmarks
have cell counts ranging from 12028 to 68046. Most of the current state of art
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