Many physical and artificial phenomena can be described by time series. The prediction of such phenomenon could be as complex as interesting. There are many time series forecasti...
The growing impact of within-die process variation has created the need for statistical timing analysis, where gate delays are modeled as random variables. Statistical timing anal...
Aseem Agarwal, David Blaauw, Vladimir Zolotov, Sar...
In this paper, we propose a new linear programming based timing driven placement framework for high performance designs. Our LP framework is mainly net-based, but it takes advanta...
Clustering time series data using the popular subsequence (STS) technique has been widely used in the data mining and wider communities. Recently the conclusion was made that it i...
— Buffer insertion is an effective technique to reduce interconnect delay. In this paper, we give a simple O(mn) time algorithm for optimal buffer insertion, where m is the numbe...