CC* Regional Computing: CENVAL-ARC: Central Valley Accessible Research and Computational Hub
CC* 区域计算:CENVAL-ARC:中央谷无障碍研究和计算中心
基本信息
- 批准号:2346744
- 负责人:
- 金额:$ 100万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2024
- 资助国家:美国
- 起止时间:2024-06-01 至 2026-05-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The Central Valley Advanced Research Computing (CENVAL-ARC) initiative aims to address the computational resource needs in the historically underserved Central Valley region of California, enhancing research and educational opportunities for a broad spectrum of students and researchers within Hispanic-Serving Central Valley institutions. The project is led by the University of California, Merced (UCM), in collaboration with California State Universities (CSUs) - CSU Sacramento, CSU Stanislaus, and CSU Fresno.CENVAL-ARC's hardware setup comprises Graphical Processing Unit (GPU) nodes and Central Processing Unit (CPU) nodes, each with distinct configurations of processor and memory specifications. The hardware seamlessly integrates into UCM's existing Pinnacles High Performance Computing (HPC) cluster. The cluster also features efficient fast scratch and large data storage, enhancing data storage and accessibility for science drivers. CENVAL-ARC utilizes Ethernet and Omnipath networks, supported by open-source tools like XDMoD, for efficient cluster management and data transfers. Its connection to a Science DMZ enhances data exchange with external institutions, fostering collaborative research. Running on RedHat Linux with the Slurm scheduler, CENVAL-ARC's computational resources accommodate diverse research tasks. Standard CPU nodes and large-memory CPU nodes support activities such as intricate systems modeling and numerical optimization, while GPUs are indispensable for executing double-precision floating-point calculations and managing Artificial Intelligence and Machine Learning (AI/ML) workloads.CENVAL-ARC plays a transformative role in advancing research throughout the Central Valley. The project supports yearly research symposia that engage dozens of regional participants and empower researchers across various scientific domains. This initiative aligns with the National Science Foundation's vision for catalyzing scientific transformation through cyberinfrastructure, fostering translational research and discovery.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.
中央山谷高级研究计算(CENVAL-ARC)计划旨在满足加州中央山谷地区历来服务不足的计算资源需求,为为拉美裔服务的中央山谷机构内的广泛学生和研究人员提供更多的研究和教育机会。该项目由加州大学默塞德分校(UCM)牵头,加州州立大学(CSU)-萨克拉门托CSU、CSU Stanislaus和CSU Fresno.CENVAL-ARC的硬件设置包括图形处理单元(GPU)节点和中央处理单元(CPU)节点,每个节点都具有不同的处理器和内存规格配置。该硬件无缝集成到UCM现有的Pinnacles高性能计算(HPC)群集中。该集群还具有高效的快速擦除和海量数据存储,增强了数据存储和科学驱动程序的可访问性。CENVAL-ARC利用以太网和Omnipath网络,由XDMoD等开源工具支持,以实现高效的集群管理和数据传输。它与科学非军事区的联系加强了与外部机构的数据交换,促进了合作研究。CENVAL-ARC的计算资源运行在带有Slurm调度器的RedHat Linux上,可以适应不同的研究任务。标准CPU节点和大内存CPU节点支持复杂的系统建模和数值优化等活动,而GPU对于执行双精度浮点计算和管理人工智能和机器学习(AI/ML)工作负载是不可或缺的。CENVAL-ARC在推动整个中央山谷的研究方面发挥了革命性的作用。该项目支持每年一次的研究研讨会,让数十名区域参与者参与进来,并赋予各个科学领域的研究人员权力。这一倡议与国家科学基金会的愿景一致,即通过网络基础设施促进科学转型,促进转化性研究和发现。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Sarvani Chadalapaka其他文献
Sarvani Chadalapaka的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
相似海外基金
CC* Regional Computing: The California State University System Technology Infrastructure for Data Exploration
CC* 区域计算:加州州立大学数据探索系统技术基础设施
- 批准号:
2346701 - 财政年份:2024
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
CC* CIRA: BRICCs - Establishing Pathways for Regional Computing
CC* CIRA:金砖国家 - 建立区域计算途径
- 批准号:
2346751 - 财政年份:2024
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
CC* Regional Computing: Building Cyberinfrastructure to Forge a Regional Research Computing Alliance in Southern California
CC* 区域计算:建设网络基础设施以在南加州建立区域研究计算联盟
- 批准号:
2232917 - 财政年份:2023
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
CC* Regional Computing: Great Plains Extended Network of GPUs for Interactive Experimenters (GP-ENGINE)
CC* 区域计算:用于交互式实验者的 Great Plains GPU 扩展网络 (GP-ENGINE)
- 批准号:
2322218 - 财政年份:2023
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
CC* Regional Computing: Development of Undergraduate High-Performance Computing Capacity with the CIMUSE Consortium
CC* 区域计算:与 CIMUSE 联盟一起开发本科生高性能计算能力
- 批准号:
2322084 - 财政年份:2023
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
CC* Regional Computing: Enhancing Computing At Regional Schools in the Rocky Mountain Advanced Computing Consortium (RMACC)
CC* 区域计算:增强落基山高级计算联盟 (RMACC) 区域学校的计算能力
- 批准号:
2322260 - 财政年份:2023
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
CC* Regional Computing: Taylor Geospatial Institute Regional AI Learning System
CC* 区域计算:泰勒地理空间研究所区域人工智能学习系统
- 批准号:
2232860 - 财政年份:2022
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
CC* Regional Computing: Launch: Advancing Cyberinfrastructure at Minority Serving Institutions
CC* 区域计算:启动:推进少数族裔服务机构的网络基础设施
- 批准号:
2232895 - 财政年份:2022
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
CC* Regional Computing: Helping Our Researchers Upgrade their Science (HORUS)
CC* 区域计算:帮助我们的研究人员提升他们的科学水平 (HORUS)
- 批准号:
2232628 - 财政年份:2022
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
Research Infrastructure: CC* Regional Computing: A Regional Computing Hub for Alabama Universities
研究基础设施:CC* 区域计算:阿拉巴马州大学的区域计算中心
- 批准号:
2232873 - 财政年份:2022
- 资助金额:
$ 100万 - 项目类别:
Standard Grant