Development of the p-medicine oncosimulator as a parallel treatment support system

机译：作为并行治疗支持系统的p-药物模拟癌药的开发

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The purpose of this research was the parallelization of the Wilms' Oncosimulator, an integrated cancer treatment support system modeling the growth of nephroblastoma tumors and their in vivo response to chemotherapeutic modalities. In this concept, the Oncosimulator has been optimized in order to perform efficient computations on the newest heterogeneous parallel architectures: the CPU and GPU based computing architectures. The simulator has been implemented using a novel solution for distributed computing on heterogeneous architectures - the Cactus computational toolkit with CaKernel as the module for the computations performed on computing accelerators. In this publication the challenges faced during the process of porting the Oncosimulator onto the aforementioned architectures (within CaKernel framework) are addressed, and the performance benefits of such approaches are analyzed. The successful parallelization of the Oncosimulator advances its computational efficiency and enhances its reusability as well as its eventual translation into clinical practice. The research was performed in the context of the p-medicine project*.

机译：这项研究的目的是并行化Wilms的Oncosimulator，这是一个集成的癌症治疗支持系统，用于模拟肾母细胞瘤肿瘤的生长及其对化学疗法的体内反应。在此概念中，已对Oncosimulator进行了优化，以便在最新的异构并行架构上执行高效的计算：基于CPU和GPU的计算架构。已经使用一种用于异构体系结构上的分布式计算的新颖解决方案实现了该模拟器-带有CaKernel作为模块的Cactus计算工具包，用于在计算加速器上执行的计算。在本出版物中，解决了将Oncosimulator移植到上述架构（在CaKernel框架内）过程中面临的挑战，并分析了此类方法的性能优势。 Oncosimulator的成功并行化提高了其计算效率，增强了其可重用性，并最终将其转化为临床实践。该研究是在p-医学项目*的背景下进行的。

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来源
《Proceedings of the 2014 6th International Advanced Research Workshop on In Silico Oncology and Cancer Investigation - The TUMOR Project Workshop》|2014年|1-5|共5页
会议地点 Athens(GR)
作者
Blazewicz Marek; Georgiadi Eleni C.; Pukacki Juliusz; Stamatakos Georgios S.;
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作者单位

Applic. Dept., Poznan Supercomput. Networking Center, Poznan, Poland;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
cancer; computer architecture; hybrid simulation; medical computing; operating system kernels; patient treatment; tumours; CPU based computing architecture; CaKernel framework; Cactus computational toolkit; GPU based computing architectures; Wilms' oncosimulator parallelization; aforementioned architectures; cancer treatment support system; chemotherapeutic modalities; computational oncosimulator efficiency; computing accelerators; heterogeneous parallel architectures; in vivo response; nephroblastoma tumor growth;

机译：癌症;计算机体系结构;混合仿真;医学计算;操作系统内核;患者治疗;肿瘤;基于CPU的计算体系结构; CaKernel框架;仙人掌计算工具包;基于GPU的计算体系结构; Wilms的模拟仿真器并行化;上述体系结构;癌症治疗支持系统;化疗方式;计算仿拟效率;计算促进剂;异质平行结构;体内反应;肾母细胞瘤肿瘤生长;

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Development of the p-medicine oncosimulator as a parallel treatment support system

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