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

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。这个多学科项目包括地球科学家、计算机科学家和结构工程师，将南加州地震中心(SCEC)开发的高级和中级科学软件元素集成到一个可用于地震危险性分析的集成地震建模的软件环境中。该框架包括社区速度模型、动态和伪动态破裂生成代码、确定性和随机地震引擎的集成，以及在两种类型的反问题中使用正演模拟所必需的应用程序：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过程中得到显着加强，这将使模拟能够在千万亿级的机器上运行，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级计算机。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模拟中。软件将被设计成与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，一个将具有计算地震仪的用户友好界面，另一个将为分层地震危险模型生成大型模拟套件。模型将根据加州13次有良好记录的6.0级或更高级别的历史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放源码和公开可用的，软件分发将伴随着样本输入数据集和样本预测结果。更广泛的影响包括开发新一代依赖时间的地震预报以生成地面震动危险图，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接触。本科生实习生将在为期8周的暑期培训课程中接受软件使用培训，其中许多人历史上来自STEM领域代表性不足的群体。

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.