Nowadays a placement problem often involves multi-million objects and excessive fixed blockages. We present a new global placement algorithm that scales well to the modern large-s...
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Abstract In this paper we introduce the Weighted Suffix Tree, an efficient data structure for computing string regularities in weighted sequences of molecular data. Molecular Wei...
Costas S. Iliopoulos, Christos Makris, Yannis Pana...
The paper presents a load balancing method for some CGM (Coarse-Grained Multicomputer) algorithms. This method can be applied on different dynamic programming problems such as: Lo...