OAC: Piloting the National Science Data Fabric: A Platform Agnostic Testbed for Democratizing Data Delivery
OAC: Piloting the National Science Data Fabric: A Platform Agnostic Testbed for Democratizing Data Delivery
批准号:
2138811
负责人:
Valerio Pascucci
金额:
$560.93万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-10-01 至 2024-09-30
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Ongoing investments from NSF and other agencies into shared experimental and computing facilities increase data generation by orders of magnitude and presents a challenge for universal, easy, and fast access to data by users and may limit the scientific impact of such facilities. This pilot seeks to demonstrate a trans-disciplinary National Science Data Fabric (NSDF) integrating access to and use of shared storage, networking, computing, and educational resources and, in doing so, will help democratize data-driven sciences through the development of a cyberinfrastructure (CI) platform designed for equitable access. This pilot connects an open network of researchers gathered around earth science, astronomy, biology, chemistry, physics, and materials science, to deploy a testbed for individual and shared scientific use. Supporting the IceCube neutrino observatory and the XenonNT dark matter detector will advance the understanding of the evolution of galaxies and the nature of dark matter and dark energy. Supporting the Materials Common enables the fast-paced design of new materials in critical fields such as energy, security, environment, and healthcare. Active involvement of Historically Black Colleges, the Minority Serving Cyberinfrastructure Consortium, and of Hispanic Serving Institutions assures true democratization of data-driven science and unleashes the intellectual potential of a genuinely diverse scientific community presenting the best potential for US innovation.The National Science Data Fabric (NSDF) pilot builds a testbed experimenting with critical technology needed to democratize data-driven sciences by constructing a CI platform designed for equitable access. In particular, NSDF experiments with key technologies that empower user communities to develop their solutions and support domain-specific requirements while avoiding duplication of technology. A programmable Content Delivery Network (CDN) will be a central component that interoperates with different appliances and storage solutions ranging from leadership-class computing facilities, campus-wide computing resources, commercial cloud, and research labs of individual investigators. With this strategy, NSDF connects storage, compute, and networking components with a software stack that empowers end-users with scalable tools that are easy to use, integrate and scale. Community-driven education and outreach will guarantee equitable access to all resources and engage an open network of universities, including minority-serving institutions in a federated data fabric configurable for individual and shared scientific use. By offering a shared, modular, containerized data delivery environment, operating at the best economies of scale, the NSDF pilot will demonstrate a key technology to fill the “missing middle” in the national computational infrastructure and will help address the “missing millions” challenge of American talent in STEM.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(26)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
DOI:
10.1109/ucc56403.2022.00011
发表时间:
2022-12
期刊:
2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)
影响因子:
--
作者:
[Jakob Luettgau;Christine R. Kirkpatrick;G. Scorzelli;Valerio Pascucci;G. Tarcea]
通讯作者:
Jakob Luettgau;Christine R. Kirkpatrick;G. Scorzelli;Valerio Pascucci;G. Tarcea
AMM: Adaptive Multilinear Meshes
AMM:自适应多线性网格
DOI:
10.1109/tvcg.2022.3165392
发表时间:
2022
期刊:
IEEE Transactions on Visualization and Computer Graphics
影响因子:
5.2
作者:
[Bhatia, Harsh, Hoang, Duong, Morrical, Nate, Pascucci, Valerio, Bremer, Peer-Timo, Lindstrom, Peter]
通讯作者:
Lindstrom, Peter
Development of Large-Scale Scientific Cyberinfrastructure and the Growing Opportunity to Democratize Access to Platforms and Data.
大规模科学网络基础设施的发展以及平台和数据访问民主化的机会不断增加。
DOI:
--
发表时间:
2023
期刊:
Proceedings of the 25TH International Conference On Human-Computer Interaction (HCII
影响因子:
--
作者:
[Jakob Luettgau, Giorgio Scorzelli]
通讯作者:
Jakob Luettgau, Giorgio Scorzelli
Leveraging Topological Events in Tracking Graphs for Understanding Particle Diffusion
利用跟踪图中的拓扑事件来理解粒子扩散
DOI:
10.1111/cgf.14304
发表时间:
2021
期刊:
Computer Graphics Forum
影响因子:
2.5
作者:
[McDonald, T., Shrestha, R., Yi, X., Bhatia, H., Chen, D., Goswami, D., Pascucci, V., Turbyville, T., Bremer, P.‐T.]
通讯作者:
Bremer, P.‐T.
NSDF-Cloud: Enabling Ad-Hoc Compute Clusters Across Academic and Commercial Clouds
NSDF-Cloud:跨学术和商业云启用临时计算集群
DOI:
10.1145/3502181.3533710
发表时间:
2022
期刊:
HPDC '22: Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing
影响因子:
--
作者:
[Luettgau, Jakob, Olaya, Paula, Zhou, Naweiluo, Scorzelli, Giorgio, Pascucci, Valerio, Taufer, Michela]
通讯作者:
Taufer, Michela
共 23 条
EAGER: The Next Generation of Smart Cyberinfrastructure: Efficiency and Productivity Through Artificial Intelligence
-
批准号:1941085
-
项目类别:Standard Grant
-
资助金额:$29.97万
-
财政年份:2019
-
负责人:Valerio Pascucci
-
依托单位:
PFI:AIR - TT: Cost Effective Solutions for Storage and Access of Massive Imagery
-
批准号:1602127
-
项目类别:Standard Grant
-
资助金额:$19.94万
-
财政年份:2016
-
负责人:Valerio Pascucci
-
依托单位:
Computational Infrastructure for Brain Research: EAGER: A Scalable Solution for Processing High Resolution Brain Connectomics Data
-
批准号:1649923
-
项目类别:Standard Grant
-
资助金额:$30.0万
-
财政年份:2016
-
负责人:Valerio Pascucci
-
依托单位:
CGV: Large: Collaborative Research: Coupling Simulation and Mesh Generation using Computational Topology
-
批准号:1314896
-
项目类别:Continuing Grant
-
资助金额:$118.7万
-
财政年份:2013
-
负责人:Valerio Pascucci
-
依托单位:
EAGER (G&V): Exploring Morse Theoretic Tools for Automatic Mesh Generation and Simulation on Surfaces
-
批准号:1045032
-
项目类别:Standard Grant
-
资助金额:$10.0万
-
财政年份:2010
-
负责人:Valerio Pascucci
-
依托单位:
Scalable Algorithms for Multiscale Modeling and Analysis of Turbulent Combustion
-
批准号:0904631
-
项目类别:Standard Grant
-
资助金额:$150.0万
-
财政年份:2010
-
负责人:Valerio Pascucci
-
依托单位:
海外基金