Title :
Through-silicon via placement with shuffled frog leap algorithm
Author :
Shaobo Su ; Huiyun Li ; Guoqing Xu
Abstract :
Through-silicon via (TSV) is a promising technology for the three dimensional (3D) IC packaging industry. Well-managed TSV alleviate routing congestion, enhancing performance of 3D ICs. The logic cells stacked through TSV are analogous to the vertices to be traversed exactly once in a graph. However, traditional Hamilton loop method is a NP-hard (non-deterministic polynomial) problem. This paper proposes a new TSV placement method based on the Shuffled Frog Leap Algorithm (SFLA). The Hamilton Loop is a term used to describe a shortest graph theory. The SFLA is used to solve the Hamilton Loop this NP-hard problem. The SFLA simulation results indicate that the proposed-TSV placement could achieve wire distance reduction by 15% reliably. The results can be used to guide the electronic design automation (EDA) layout tools.
Keywords :
computational complexity; electronic design automation; graph theory; integrated circuit layout; network routing; optimisation; polynomial approximation; three-dimensional integrated circuits; 3D IC packaging industry; EDA layout tools; Hamilton loop; NP-hard problem; SFLA; TSV; electronic design automation; graph theory; logic cells; nondeterministic polynomial problem; routing congestion; shuffled frog leap algorithm; through-silicon via placement; Biomimetics; Conferences; Decision support systems; Service robots; Three-dimensional displays; Through-silicon vias; Hamilton loop; Placement; SFLA; TSV;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2014 IEEE International Conference on
DOI :
10.1109/ROBIO.2014.7090636