The RW-ST algorithm clusters node pairs based on their sameness. The sameness of nodes u and v re ects the commonality of the sets of nodes that are visited in cycles originating at u and at v. To calculate the sameness, for each node v we must keep track of how often a node u occurs in some cycle originating at v.
A self-tuning clustering method based on random walks in the circuit netlist. RW-ST efficiently captures a globally good circuit clustering.
The RW-ST method is highly efficient, and can be shown to quickly capture an implicitly global circuit clustering. We evaluate the RW-ST algorithm in two ways: ...
This method is highly local, and depends on heuristic choices of cluster seeds, the number of clusters, the tie-breaking rules, etc. The global “top- down ...
Previous work in circuit clustering ranges from highly local to highly global approaches. Generally speaking, local approaches are more efficient but can result ...
A self-tuning clustering method based on random walks in the circuit netlist. RW-ST efficiently captures a globally good circuit clustering.
Contents. ICCAD '92: 1992 IEEE/ACM international conference proceedings on Computer-aided design. A new approach to effective circuit clustering. Pages 422 - ...
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Aug 12, 2024 · In this article,the effective circuit partitioning techniques are employed by using the clustering algorithms.
Oct 27, 2024 · The circuit wire-cutting technique addresses this issue by breaking down a large circuit into smaller, more manageable subcircuits.
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This paper presents a new bottom-up clustering technique, called best-choice, targeted for large-scale placement problems, which operates directly on a ...