We propose a new multilevel framework for large-scale placement called MAPLE that respects utilization constraints, handles movable macros and guides the transition between global...
Myung-Chul Kim, Natarajan Viswanathan, Charles J. ...
We streamline and extend APlace, the general analytic placement engine based on ideas of Naylor et al. [7] and described in [3, 4, 5]. Previous work explored the adaptability of A...
The multilevel placement package mPL6 combines improved implementations of the global placer mPL5 (ISPD05) and the XDP legalizer and detailed placer (ASPDAC06). It consistently pr...
Tony F. Chan, Jason Cong, Joseph R. Shinnerl, Kent...
Delay minimization continues to be an important objective in the design of high-performance computing system. In this paper, we present an effective methodology to guide the delay...
A novel and very simple correct-by-construction top-down methodology for high-utilization mixed-size placement is presented. The PolarBear algorithm combines recursive cutsize-dri...