Title :
Geometric Embeddings for Faster and Better Multi-Way Netlist Partitioning
Author :
Alpert, C.J. ; Kahng, A.B.
Author_Institution :
Computer Science Department, University of California at Los Angeles, Los Angeles, CA
Abstract :
We give new, effective algorithms for k-way circuit partitioning in the two regimes of k ≪ n and k = ⊝(n), where n is the number of modules in the circuit. We show that partitioning an appropriately designed geometric embedding of the netlist, rather than a traditional graph representation, yields improved results as well as large speedups. We derive d-dimensional geometric embeddings of the netlist via (i) a new "partitioning-specific" net model for constructing the Laplacian of the netlist, and (ii) computation of d eigenvectors of the netlist Laplacian; we then apply (iii) fast top-down and bottom-up geometric clustering methods.
Keywords :
Circuit synthesis; Computer science; Costs; Embedded computing; Epitaxial growth; Iterative methods; Laplace equations; Partitioning algorithms; Solid modeling; Very large scale integration;
Conference_Titel :
Design Automation, 1993. 30th Conference on
Print_ISBN :
0-89791-577-1
DOI :
10.1109/DAC.1993.204046