We present a general method for evaluating and visualizing evolutionary dynamics of self-replicators using a graph-based representation for genealogy. Through a transformation from...
Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...
Abstract. The problem of clustering data can be formulated as a graph partitioning problem. In this setting, spectral methods for obtaining optimal solutions have received a lot of...
Marcus Weber, Wasinee Rungsarityotin, Alexander Sc...
Pointer analysis is one of the most important static analyses during compilation. While several enhancements have been made to scale pointer analysis, the work on parallelizing the...
Algebraic factorization is an extremely important part of any logic synthesis system but is computationally expensive. Hence it is important to look at parallel processing to spee...