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IPPS
2007
IEEE
15 years 7 months ago
Time Series Forecasting by means of Evolutionary Algorithms
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...
Cristóbal Luque del Arco-Calderón, J...
DATE
2003
IEEE
116views Hardware» more  DATE 2003»
15 years 6 months ago
Statistical Timing Analysis Using Bounds
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...
93
Voted
DAC
2006
ACM
16 years 1 months ago
A new LP based incremental timing driven placement for high performance designs
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...
Tao Luo, David Newmark, David Z. Pan
AUSDM
2007
Springer
110views Data Mining» more  AUSDM 2007»
15 years 7 months ago
Useful Clustering Outcomes from Meaningful Time Series Clustering
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...
Jason Chen
96
Voted
ASPDAC
2006
ACM
102views Hardware» more  ASPDAC 2006»
15 years 6 months ago
An O(mn) time algorithm for optimal buffer insertion of nets with m sinks
— 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...
Zhuo Li, Weiping Shi