Guide Cellular Automata: A Parallel Model

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  1. Cellular Automata Laboratory
  2. Parallel Computing for Wave Propagation Analysis Based on Cellular Automaton
  3. Exponential Stochastic Cellular Automata for Massively Parallel Inference

Cellular Automata Laboratory

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    Hint Swipe to navigate through the chapters of this book Close hint. Abstract Adenocarcinomas are tumors that originate in the lining epithelium of the ducts that form the endocrine glands of the human body. Infiltrating breast and one of the most frequent neoplasms among female population, and the early detection of the disease is then fundamental and, for this reason, a profound knowledge of the biology of tumor at this phase is essential. Among the distinct tools that contribute to this knowledge, computational simulation is more frequently used every day.

    Parallel Computing for Wave Propagation Analysis Based on Cellular Automaton

    The availability of fast and efficient computations that allow the simulation of tumor dynamics in situ, under a wide range of different parameters, is an important research topic. We applied it to the breast ductal adenocarcinoma in situ DCIS , modeling our cells with the genomic load that we currently know that the tumor starts, and proposing a numerical coding method for the genome that allows efficient computational management.

    We propose a parallelization scheme using data parallelism, and we show the acceleration achieved in multiple nodes of our cluster of processors. Please log in to get access to this content Log in Register for free. To get access to this content you need the following product:.

    Exponential Stochastic Cellular Automata for Massively Parallel Inference

    Springer Professional "Technik" Online-Abonnement. Springer Professional "Wirtschaft" Online-Abonnement. This volume emphasises the first aspect. In articles written by leading researchers, sophisticated massive parallel algorithms firing squad, life, Fischer's primes recognition are treated.

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    Their computational power and the specific complexity classes they determine are surveyed, while some recent results in relation to chaos from a new dynamic systems point of view are also presented. Audience: This book will be of interest to specialists of theoretical computer science and the parallelism challenge. JavaScript is currently disabled, this site works much better if you enable JavaScript in your browser. Computer Science Communication Networks. Mathematics and Its Applications Free Preview.

    What is cellular automata modeling?

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