SI2-SSI: A Sustainable Community Software Framework for Petascale Earthquake Modeling

SI2-SSI：用于千万亿次地震建模的可持续社区软件框架

• 批准号: 1148493
• 负责人: Thomas Jordan
• 金额: $ 252.28万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1148493&HistoricalAwards=false
• 关键词: SI2; SSI; Sustainable; Community; Software

Earthquakes have major economic and societal consequences as can be seen from the aftermath of the recent large earthquakes in Japan, Chile, and New Zealand. This multidisciplinary project, which includes both geoscientists, computer scientists, and structural engineers, integrates high-level and middle-level scientific software elements developed by the Southern California Earthquake Center (SCEC) into a software environment for integrated seismic modeling that can be used for seismic hazard analysis. The framework includes integration of community velocity models, codes for dynamic and pseudo-dynamic rupture generation, deterministic and stochastic earthquake engines, and the applications necessary to employ forward simulations in two types of inverse problems: seismic source imaging and full 3D tomography. Modifications to already existing software packages slated to be significantly enhanced in the course of the workflow will allow simulations to be run on petascale machines and allow the better managing of scientific workflows. The work also focuses on software lifecycle issues such as model formation, verification, prediction, and validation and support the use of petascale computers by earthquake scientists. The goal of the project is to facilitate the incorporation of better theory and data into computationally intensive modeling of earthquake processes. Software will be designed to interface smoothly with OpenSHA, as well as OpenSEES, PEER, and NEES. Project partners will also develop and test two computational platforms, one that will have a user-friendly interface for calculating seismographs and the other will generate large suites of simulations for a layered earthquake hazard model. Models will be validated against datasets for 13 well-recorded historic California earthquakes of magnitude 6.0 or higher. The initial API will take advantage of the asynchronous IO features of Fortran 2003 with plans for adding C/C++ and Python interfaces. All codes developed will be open-source and publicly available and software distribution will be accompanied by sample input datasets and example forecast results. Broader impacts include the development of a new generation of time-dependent earthquake forecasts to produce ground-shake hazard maps, partnership with a federal agency and the private sector. It also includes a component of student and postdoctoral training and outreach to user communities. Undergraduate interns, many of whom have historically been from groups under-represented in STEM fields, will be trained in use of the software during an 8-week summer training course.

地震具有重大的经济和社会后果，这可以从最近日本、智利和新西兰发生的大地震的后果中看出。 这个多学科的项目，其中包括地球科学家，计算机科学家和结构工程师，集成了高层次和中级的科学软件元素开发的南加州地震中心（SCEC）到一个软件环境中的集成地震建模，可用于地震危险性分析。 该框架包括社区的速度模型，代码的动态和伪动态破裂生成，确定性和随机地震引擎，以及应用程序需要采用正向模拟两种类型的逆问题：震源成像和全三维层析成像。 对现有软件包的修改将在工作流程中得到显着增强，这将允许在千万亿次机器上运行模拟，并允许更好地管理科学工作流程。 这项工作还侧重于软件生命周期问题，如模型形成，验证，预测和验证，并支持地震科学家使用千万亿次计算机。 该项目的目标是促进将更好的理论和数据纳入地震过程的计算密集型建模。 软件将被设计为与OpenSHA以及OpenSEES、PEER和NEES顺利接口。 项目合作伙伴还将开发和测试两个计算平台，一个将具有用于计算地震仪的用户友好界面，另一个将为分层地震灾害模型生成大型模拟套件。模型将根据13个记录良好的历史加州6.0级或更高地震的数据集进行验证。 最初的API将利用Fortran 2003的异步IO功能，并计划添加C/C++和Python接口。 开发的所有代码都将是开源和公开的，软件的分发将伴随着样本输入数据集和示例预测结果。 更广泛的影响包括开发新一代的随时间变化的地震预报，以制作地面震动危险图，与联邦机构和私营部门建立伙伴关系。 它还包括学生和博士后培训以及与用户社区的外联活动。 本科实习生，其中许多人一直来自STEM领域代表性不足的群体，将在为期8周的夏季培训课程中接受使用该软件的培训。