Title :
Performance of Algorithms for Initial Placement
Author :
Palczewski, Michael
Author_Institution :
Solomon Design Automation Corp., Santa Clara, CA
Abstract :
This paper analyzes the performance of a commonly used class of methods for initial placement and describes several new classes. The classification in this paper is based on common methods of problem-solving used in artificial intelligence (AI) approaches. The paper does not describe the details of algorithms; instead it focuses on the qualitative performance.
Keywords :
branch-and-bound; forward and backward reasoning; irrevocable and tentative search; lower and upper bounds; means-ends analysis; solution space; virtual placement; Artificial intelligence; Design automation; Design methodology; Educational institutions; Performance analysis; Problem-solving; Switches; Timing; Tree data structures; Upper bound; branch-and-bound; forward and backward reasoning; irrevocable and tentative search; lower and upper bounds; means-ends analysis; solution space; virtual placement;
Conference_Titel :
Design Automation, 1984. 21st Conference on
Print_ISBN :
0-8186-0542-1
DOI :
10.1109/DAC.1984.1585828