CC*DNI Networking Infrastructure: Building a High Performance Network to Support Advanced Instrumentation, Computation-Intensive Analysis and Data-Intensive Science Research
CC*DNI 网络基础设施:构建高性能网络以支持先进仪器、计算密集型分析和数据密集型科学研究
基本信息
- 批准号:1541001
- 负责人:
- 金额:$ 39.47万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-01-01 至 2017-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Siena College is a vibrant undergraduate liberal arts college with a strong School of Science. Siena faculty in the sciences conduct cutting-edge research and involve undergraduate students in that research. Students also conduct independent research with faculty supervision as part of the Center for Undergraduate Research and Creative Activity (CURCA) program.This two-year project creates a state-of-the-art research oriented network infrastructure to support STEM research at the College. Research projects in the fields of computational chemistry (using Siena's High Performance Computing Cluster or HPCC), nanoscience, biophysics, astrophysics, and particle physics have been hampered by currently limited network transfer speeds. This project significantly enhances the ability for faculty and students to carry out their work.The project creates a network infrastructure designed to optimize networking and security for high performance scientific applications. This includes improving data transfer speeds within the School of Science building complex and between the sciences and the College data center where the HPCC is housed by a factor of 10. The proposed upgrades also position Siena to create connections to external high-performance networks such as NYSERnet and Internet2, facilitating collaboration with researchers at other institutions as well as access to instrumentation and research tools at other institutions.As a result of this project interdisciplinary research projects are fostered and encouraged. Sophisticated cyberinfrastructure is a critical underpinning to scientific research initiatives and this project creates that foundation at Siena College.
锡耶纳学院是一所充满活力的本科文理学院,拥有实力雄厚的理学院。锡耶纳的科学教师进行前沿研究,并让本科生参与该研究。作为本科生研究和创意活动中心 (CURCA) 计划的一部分,学生还可以在教师的监督下进行独立研究。这个为期两年的项目创建了一个最先进的研究型网络基础设施,以支持学院的 STEM 研究。 计算化学(使用锡耶纳的高性能计算集群或 HPCC)、纳米科学、生物物理学、天体物理学和粒子物理学领域的研究项目受到当前有限的网络传输速度的阻碍。该项目显着增强了教师和学生开展工作的能力。该项目创建了一个网络基础设施,旨在优化高性能科学应用的网络和安全性。这包括将理学院建筑群内以及科学与 HPCC 所在的学院数据中心之间的数据传输速度提高 10 倍。拟议的升级还使锡耶纳能够创建与外部高性能网络的连接,例如NYSERnet 和 Internet2,促进与其他机构的研究人员的合作以及使用其他机构的仪器和研究工具。该项目的结果是培育和鼓励跨学科研究项目。复杂的网络基础设施是科学研究举措的关键基础,该项目为锡耶纳学院奠定了这一基础。
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)
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Mark Berman其他文献
Classification of Sound and Stained Wheat Grains Using Visible and near Infrared Hyperspectral Image Analysis
使用可见光和近红外高光谱图像分析对声音和染色小麦粒进行分类
- DOI:
10.1255/jnirs.754 - 发表时间:
2007-11-09 - 期刊:
- 影响因子:1.8
- 作者:
Mark Berman;Phil Connor;L. Whitbourn;D. Coward;B. G. Osborne;M. D. Southan - 通讯作者:
M. D. Southan
The Effect of Complexity on Training for Exploration of Non-intuitive Rules in Theory of Mind
复杂性对心智理论中非直觉规则探索训练的影响
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:2.2
- 作者:
N. Yuviler;Doron Faran;Mark Berman - 通讯作者:
Mark Berman
The Effect of Complexity on Training for Exploration of Non-intuitive Rules in Theory of Mind
复杂性对心智理论中非直觉规则探索训练的影响
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
N. Yuviler;Doron Faran;Mark Berman - 通讯作者:
Mark Berman
Myocardial adaptation during and after sustained, demand-induced ischemia. Observations in closed-chest, domestic swine.
持续需求引起的缺血期间和之后的心肌适应。
- DOI:
10.1161/01.cir.94.4.755 - 发表时间:
1996-08-15 - 期刊:
- 影响因子:37.8
- 作者:
Mark Berman;Alan J. Fischman;James F. Southern;Edward A. Carter;F. N. Mirecki;H. Strauss;Adrian D. Nunn;Henry Gewirtz - 通讯作者:
Henry Gewirtz
The cyanide degrading nitrilase from Pseudomonas stutzeri AK61 is a two-fold symmetric, 14-subunit spiral.
来自施氏假单胞菌 AK61 的氰化物降解腈水解酶是一个二重对称的 14 个亚基螺旋。
- DOI:
10.1016/j.str.2003.10.005 - 发表时间:
2003-11-01 - 期刊:
- 影响因子:5.7
- 作者:
B. Sewell;Mark Berman;P. Meyers;Dakshina M. J;hyala;hyala;M. Benedik - 通讯作者:
M. Benedik
Mark Berman的其他文献
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{{ truncateString('Mark Berman', 18)}}的其他基金
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