POSE: Phase I: Tuitus - A sustainable, inclusive, open ecosystem for Natural Hazards Engineering
POSE: Phase I: Tuitus - A sustainable, inclusive, open ecosystem for Natural Hazards Engineering
批准号:
2229702
负责人:
Krishna Kumar
金额:
$28.76万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-09-15 至 2024-08-31
中文摘要
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英文摘要
This project is funded by Pathways to Enable Open-Source Ecosystems (POSE) which seeks to harness the power of open-source development for the creation of new technology solutions to problems of national and societal importance. Natural hazards, such as floods, landslides, earthquakes, tornadoes, and wildfires, threaten more than 57% of the US national infrastructure. Modeling these complex natural hazards pushes the frontiers of high-performance computing, multi-scale modeling, in-situ visualization, big-data analysis, and machine learning. Scientific software codes are often developed in an ad hoc manner by university researchers and graduate students with very little exposure to software development principles and practices. The robustness and open-source nature of these scientific codes are essential for the safety and security of the nation, its people, and the environment. The project establishes the Tuitus Foundation (Latin for “to protect or care for”), a sustainable, inclusive, open ecosystem of scientific codes for Natural Hazard Engineering (NHE). The project’s novelties are creating a unified interface that supports integration testing, research reproducibility, and workflow provenance in distributed computing environments. The project supports building scalable, automated testing and workflow management for high-performance computing (HPC) environments. The project tackles the social issues around building and sustaining a community by establishing a Governing Board of Directors and supporting community-driven software development in NHE. The project creates an inclusive community by offering guidelines and training for onboarding and supporting new developers through hackathons and Google Summer of Code. By auto-deploying thoroughly tested HPC software to the NSF-funded DesignSafe Cyberinfrastructure, the project impacts the broader community of 6,000 NHE researchers by making robust NHE codes immediately accessible. Open-source codes in NHE will significantly impact the decision-making process and regional-scale risk assessment. The integration of Tuitus Foundation’s HPC Continuous Integration/Continuous Delivery (CI/CD) service with DesignSafe creates a paradigm shift in open-source code delivery in NHE, improving real-world policy decisions during critical natural hazard events. The Tuitus Foundation adopts a holistic approach to address the critical technical challenges in the Open-Source Ecosystem (OSE) by offering a standard Application Programming Interface (API) for HPC and heterogenous hardware architectures and supporting a wide range of applications from HPC, machine learning, database schemas, Jupyter notebooks, and visualizations. This project is the first attempt to integrate HPC-scale CI testing with natural hazard engineering codes for multi-job pipelines. The Tapis framework provides programmable interfaces that enable developers to automate data management and job execution on HPC and cloud resources. Tapis OAuth2 provides a separate security layer for managing user credentials, allowing Tapis to access many different storage and computing resources on behalf of the user. HPC-scale CI/CD with theTapis API enables testing for extreme-scale problems on distributed computing environments and future exascale systems. The project offers workflow provenance in Jupyter notebooks by tracking workflows and packaging runtime environment, thus enhancing research reproducibility. The novel CI developments bring together literate programming and HPC testing to provide the much-needed robustness to improve trustworthiness in engineering decision-making.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Detailed Functional Overview of an API and Workflow Engine for Scientific Research Computing
用于科学研究计算的 API 和工作流引擎的详细功能概述
DOI:
--
发表时间:
2023
期刊:
ACM
影响因子:
--
作者:
[Freeman, N, Stubbs, J, Cardone, R, Garcia, C]
通讯作者:
Garcia, C
CAREER: HayaRupu: Accelerating Natural Hazard Engineering with AI-Driven Discovery Loops
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批准号:2339678
-
项目类别:Continuing Grant
-
资助金额:$50.0万
-
财政年份:2024
-
负责人:Krishna Kumar
-
依托单位:
SCIPE: Chishiki.ai: A sustainable, diverse, and integrated CIP community for Artificial Intelligence in Civil and Environmental Engineering
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批准号:2321040
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项目类别:Standard Grant
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资助金额:$699.93万
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财政年份:2023
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负责人:Krishna Kumar
-
依托单位:
Collaborative Research: Apparatus for Normalization and Systematic Control of the MOLLER Experiment
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批准号:2013142
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项目类别:Continuing Grant
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资助金额:$71.42万
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财政年份:2021
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负责人:Krishna Kumar
-
依托单位:
Elements: Cognitasium - Enabling Data-Driven Discoveries in Natural Hazards Engineering
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批准号:2103937
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项目类别:Standard Grant
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资助金额:$55.63万
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财政年份:2021
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负责人:Krishna Kumar
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依托单位:
The Impact of Federal Life Science Funding on University R&D
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批准号:1064215
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项目类别:Standard Grant
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资助金额:$10.07万
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财政年份:2011
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负责人:Krishna Kumar
-
依托单位:
Acquisition of a 500 MHz NMR Spectrometer
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批准号:0821508
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项目类别:Standard Grant
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资助金额:$34.95万
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财政年份:2008
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负责人:Krishna Kumar
-
依托单位:
CAREER: Controlling Helix-Helix Interactions in Membrane Proteins
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批准号:0236846
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项目类别:Continuing Grant
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资助金额:$50.45万
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财政年份:2003
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负责人:Krishna Kumar
-
依托单位:
国内基金
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