Supercomputing - 28th International Supercomputing Conference, ISC 2013, Leipzig, Germany, June 16-20, 2013. Proceedings
Supercomputing - 28th International Supercomputing Conference, ISC 2013, Leipzig, Germany, June 16-20, 2013. Proceedings
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超级计算 - 第 28 届国际超级计算会议，ISC 2013，德国莱比锡，2013 年 6 月 16-20 日。会议记录
DOI：
10.1007/978-3-642-38750-0_5
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Carpené M
中科院分区：
文献类型：
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作者：
Carpené M
地震分析的高级应用环境帮助地球科学家执行复杂的模拟，以预测地球物理系统的行为和潜在的地表观测。与此同时，必须对从地震台站收集的数据进行处理，将记录的信号与预测进行比较。欧盟资助的VERCE项目（http：//verce.eu/）旨在实现特定的地震用例，并根据地震学界提出的要求，提供面向服务的基础设施，以应对这些挑战。在本文中，我们提出了VERCE的架构，特别是有关地球模型的正向和逆向建模，以及如何，主要是基于文件的，HPC模型可以与数据流操作相结合，以提高实验的可扩展性。我们认为，在一个开放的协作环境中集成服务和HPC资源是推动地震学等至关重要的科学进步的重要媒介。
Advanced application environments for seismic analysis help geoscientists to execute complex simulations to predict the behaviour of a geophysical system and potential surface observations. At the same time data collected from seismic stations must be processed comparing recorded signals with predictions. The EU-funded project VERCE (http://verce.eu/) aims to enable specific seismological use-cases and, on the basis of requirements elicited from the seismology community, provide a service-oriented infrastructure to deal with such challenges. In this paper we present VERCE’s architecture, in particular relating to forward and inverse modelling of Earth models and how the, largely file-based, HPC model can be combined with data streaming operations to enhance the scalability of experiments. We posit that the integration of services and HPC resources in an open, collaborative environment is an essential medium for the advancement of sciences of critical importance, such as seismology.