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A Parallel Cellular Automaton Model For Adenocarcinomas in Situ with Java: Study of One Case

机译:与Java原位原位腺癌的平行蜂窝自动机模型:一种案例研究

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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. 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. Based on cellular automata, this paper proposes a generic simulation model for the Adenocarcinomas In Situ (CIS). 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.
机译:腺癌是造成源自形成人体内分泌腺的管道的衬里上皮。渗透乳房和女性人群中最常见的肿瘤之一,并且早期发现这种疾病是基本的,因此,在这个阶段对肿瘤生物学的深刻知识至关重要。在有助于这种知识的不同工具中,每天更频繁地使用计算模拟。快速和有效的计算可用性,允许在各种不同参数下仿死肿瘤动态的计算是一个重要的研究主题。基于蜂窝自动机,本文提出了原位腺癌的通用仿真模型(CIS)。我们原位(DCIS)将其施加到乳房导管腺癌中,用我们目前知道肿瘤开始的基因组负荷,并提出允许有效计算管理的基因组的数值编码方法。我们提出了一种使用数据并行性的并行化方案,我们显示了在我们的处理器集群的多个节点中实现的加速。

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