CC* Data Storage: Cardinal Academic Research Data Storage (CARDS)
CC* Data Storage: Cardinal Academic Research Data Storage (CARDS)
批准号:
2322248
负责人:
Nihat Altiparmak
金额:
$50.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-01 至 2025-08-31
中文摘要
点击翻译按钮获取中文摘要
英文摘要
This project establishes the Cardinal Academic Research Data Storage (CARDS) infrastructure at the University of Louisville. CARDS allows the management and sharing of petabyte-scale institutional data, eliminates existing storage performance bottlenecks, and supports research across various priority areas including artificial intelligence and machine learning, digital pathology, space observation, cancer growth simulation, and materials modeling. In addition, CARDS promotes intra-campus collaborations among faculty by bringing domain scientists with large datasets together with statistics, engineering, and computer science faculty for enhanced data analysis and knowledge discovery. The information accumulated in CARDS provides a rich resource to create cross-disciplinary projects for graduate students, and integrating CARDS into local REU site programs scales the offerings available to undergraduate students nationwide. CARDS is critical to enable scientific and engineering advances in the state-of-the-art by allowing the testing and development of new dynamic caching and tiering techniques for distributed data storage platforms. The data in CARDS helps create unique artificial intelligence models for enhanced navigation, obstacle avoidance, and path planning in autonomous systems, as well as improved image analysis for digital pathology. CARDS facilitates the production of new machine learning based detection mechanisms for coronal mass ejection events, and non-invasive methods to assess blocked coronary arteries using computational modeling. CARDS enables the generation of computational models for cancer chemotherapy and tumor growth, and novel, high-performance materials for next-generation applications in nano-electronics, neuromorphic computing, and energy storage.This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Established Program to Stimulate Competitive Research (EPSCoR).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(0)
专著(0)
科研奖励(0)
会议论文
MRI: Acquisition of a High Performance Big Data Analysis Platform
-
批准号:1828521
-
项目类别:Standard Grant
-
资助金额:$47.87万
-
财政年份:2018
-
负责人:Nihat Altiparmak
-
依托单位:
CRII: CSR: Online Analysis of Disk I/O for Automatic Storage System Optimization
-
批准号:1657296
-
项目类别:Standard Grant
-
资助金额:$17.5万
-
财政年份:2017
-
负责人:Nihat Altiparmak
-
依托单位:
国内基金
海外基金
登录
查看更多内容
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
-
批准号:--
-
项目类别:合作创新研究团队
-
资助金额:--
-
批准年份:2024
-
负责人:姚韬
-
依托单位:
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
-
批准号:--
-
项目类别:外国青年学者研究基金项目
-
资助金额:--
-
批准年份:2024
-
负责人:江洋子
-
依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
-
批准号:--
-
项目类别:--
-
资助金额:40万元
-
批准年份:2020
-
负责人:Vikrant Gupta
-
依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
-
批准号:61373035
-
项目类别:面上项目
-
资助金额:77.0万元
-
批准年份:2013
-
负责人:冯志勇
-
依托单位:
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data
-
批准号:31070748
-
项目类别:面上项目
-
资助金额:34.0万元
-
批准年份:2010
-
负责人:Christine Nardini
-
依托单位:
高维数据的函数型数据(functional data)分析方法
-
批准号:11001084
-
项目类别:青年科学基金项目
-
资助金额:16.0万元
-
批准年份:2010
-
负责人:周迎春
-
依托单位:
染色体复制负调控因子datA在细胞周期中的作用
-
批准号:31060015
-
项目类别:地区科学基金项目
-
资助金额:25.0万元
-
批准年份:2010
-
负责人:莫日根
-
依托单位:
Computational Methods for Analyzing Toponome Data
-
批准号:60601030
-
项目类别:青年科学基金项目
-
资助金额:17.0万元
-
批准年份:2006
-
负责人:Axel Mosig
-
依托单位: