Evolutionary Algorithms, including Genetic Programming (GP), are frequently employed to solve difficult real-life problems, which can require up to days or months of computation. ...
Novel reconfigurable computing platforms enable efficient realizations of complex signal processing applications by allowing exploitation of parallelization resulting in high thro...
Sankalita Saha, Jason Schlessman, Sebastian Puthen...
Message-based process architectures are widely regarded as an effective method for structuring parallel protocol processing on shared memory multi-processor platforms. A message-b...
— The Parallel Resource-Optimal (PRO) computation model was introduced by Gebremedhin et al. [2002] as a framework for the design and analysis of efficient parallel algorithms. ...
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...