IGERT: Multidisciplinary Integration of High Performance Computing in Ph. D. Programs in Science and Engineering
IGERT:科学与工程博士项目中高性能计算的多学科整合
基本信息
- 批准号:0221680
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2002
- 资助国家:美国
- 起止时间:2002-12-15 至 2010-11-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Science and technology of the twenty first century will be dominated by computing. The training of well prepared computational scientists and engineers demands an approach that transcends the strictures of the standard academic curriculum. This IGERT project will provide students who follow discipline-specific studies with a multidisciplinary program of training in computational science that will maximize their exposure to the cross-disciplinary nature of computational science and to its realm of industrial applications. This program will build a three-way interface between graduate students, the academic faculty training them, and industrial, government, and academic research laboratories who may ultimately be their employers. It will offer training opportunities through a program of visits and internships at such institutions. As the students proceed towards a Ph.D. within their chosen field, they will also earn a certificate in computational science in recognition of the special expertise that they have developed. The students will have access to state-of-the-art computational facilities at the University and will participate in multidisciplinary seminars, workshops and regular meetings with faculty and students in this program. They will also attend specialized lectures on ethics and issues of law that are relevant for scientists in the computational field. Special efforts will be made to enhance the participation of students from groups underrepresented in the sciences. The IGERT project will have the merit of providing a large number of doctoral students pursuing disciplinary research with broad education on the methods and scope of application of computational science, through the teamwork of faculty from many different departments. The results of this interdisciplinary project will be widely disseminated through seminars, workshops and web publishing and thus it will have the broad impact of establishing a model for training in computational science students who are pursuing education in a variety of disciplinary fields.IGERT is an NSF-wide program intended to meet the challenges of educating U.S. Ph.D. scientists and engineers with the multidisciplinary backgrounds and the technical, professional, and personal skills needed for the career demands of the future. The program is intended to catalyze a cultural change in graduate education by establishing innovative new models for graduate education and training in a fertile environment for collaborative research that transcends traditional disciplinary boundaries. In the fifth year of the program, awards are being made to twenty-one institutions for programs that collectively span the areas of science and engineering supported by NSF.
二十一世纪的科学技术将由计算主导。训练有素的计算科学家和工程师需要一种超越标准学术课程限制的方法。该 IGERT 项目将为从事特定学科研究的学生提供计算科学的多学科培训计划,使他们最大限度地接触计算科学的跨学科性质及其工业应用领域。该计划将在研究生、培训他们的学术教师以及最终可能成为其雇主的工业、政府和学术研究实验室之间建立一个三向接口。它将通过在这些机构的访问和实习计划提供培训机会。 当学生们继续攻读博士学位时。在他们选择的领域内,他们还将获得计算科学证书,以表彰他们所发展的特殊专业知识。学生将可以使用大学最先进的计算设施,并将参加该项目的多学科研讨会、讲习班以及与教师和学生的定期会议。 他们还将参加与计算领域科学家相关的伦理和法律问题的专门讲座。我们将特别努力提高科学领域代表性不足群体的学生的参与度。 IGERT 项目的优点是,通过来自许多不同部门的教师的团队合作,为大量从事学科研究的博士生提供有关计算科学的方法和应用范围的广泛教育。这个跨学科项目的成果将通过研讨会、讲习班和网络出版来广泛传播,因此它将对建立一个对在各个学科领域接受教育的计算科学学生的培训模型产生广泛的影响。IGERT 是一个 NSF 范围内的项目,旨在应对美国博士生教育的挑战。具有多学科背景以及未来职业需求所需的技术、专业和个人技能的科学家和工程师。该计划旨在通过在超越传统学科界限的合作研究的肥沃环境中建立创新的研究生教育和培训新模式,促进研究生教育的文化变革。在该计划的第五年,共有 21 个机构因 NSF 支持的科学和工程领域的项目而获奖。
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 }}
Claudio Rebbi其他文献
Claudio Rebbi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 }}
{{ truncateString('Claudio Rebbi', 18)}}的其他基金
MRI: Acquisition of a Blue Gene/L Supercomputer for Computational Science Research
MRI:采购 Blue Gene/L 超级计算机用于计算科学研究
- 批准号:
0421009 - 财政年份:2005
- 资助金额:
-- - 项目类别:
Standard Grant
ITR - (ASE) - (sim): Optimized Dirac Inverter for Quantum Field Theory
ITR - (ASE) - (sim):用于量子场论的优化狄拉克逆变器
- 批准号:
0427646 - 财政年份:2004
- 资助金额:
-- - 项目类别:
Continuing Grant
MRI: Acquisition of a Power4-based IBM SP and PC-based Scalable Display Wall for Multidisciplinary Computational Science Research
MRI:购买基于 Power4 的 IBM SP 和基于 PC 的可扩展显示墙,用于多学科计算科学研究
- 批准号:
0116549 - 财政年份:2001
- 资助金额:
-- - 项目类别:
Standard Grant
MARINER: Metacenter-Affiliated Resources In the England Region
MARINER:英格兰地区的 Metacenter 附属资源
- 批准号:
9523469 - 财政年份:1995
- 资助金额:
-- - 项目类别:
Continuing grant
Integrating High Performance Computing into Research: Molecular Dynamics Simulation in Chemistry, Physics and Engineering
将高性能计算融入研究:化学、物理和工程中的分子动力学模拟
- 批准号:
9452651 - 财政年份:1994
- 资助金额:
-- - 项目类别:
Continuing Grant
Computational Investigations of Quantum Field Theories (Postdoctoral Research Associateship in Computational Science and Engineering)
量子场论的计算研究(计算科学与工程博士后研究助理)
- 批准号:
9405031 - 财政年份:1994
- 资助金额:
-- - 项目类别:
Standard Grant
Acquisition of A New Generation Connection Machine for Multidisciplinary Research and Training in High Performance Computing
采购新一代连接机,用于高性能计算的多学科研究和培训
- 批准号:
9413988 - 财政年份:1994
- 资助金额:
-- - 项目类别:
Standard Grant
Workstation Laboratory for New Undergraduate Curriculum in Massively Parallel Computing
大规模并行计算本科新课程工作站实验室
- 批准号:
9351634 - 财政年份:1993
- 资助金额:
-- - 项目类别:
Standard Grant
CISE Educational Infrastructure: Undergraduate Curriculum in Massively Parallel Computing
CISE 教育基础设施:大规模并行计算本科课程
- 批准号:
9214902 - 财政年份:1992
- 资助金额:
-- - 项目类别:
Standard Grant
相似海外基金
Realization of Multidisciplinary Understanding of Skeletal Muscle by Constructing Deep Learning and Model Integration Theory
构建深度学习与模型整合理论实现骨骼肌多学科理解
- 批准号:
21K12731 - 财政年份:2021
- 资助金额:
-- - 项目类别:
Grant-in-Aid for Scientific Research (C)
Gait analysis and fall risk assessment: Multidisciplinary integration of biomechanics, signal and image processing, and machine learning
步态分析和跌倒风险评估:生物力学、信号和图像处理以及机器学习的多学科整合
- 批准号:
18K18463 - 财政年份:2018
- 资助金额:
-- - 项目类别:
Grant-in-Aid for Challenging Research (Exploratory)
REU Site: Multidisciplinary Data Integration Training for Globally Engaged Undergraduates
REU 网站:面向全球本科生的多学科数据集成培训
- 批准号:
1559844 - 财政年份:2016
- 资助金额:
-- - 项目类别:
Continuing Grant
A Multidisciplinary Network Analysis of Muskuloskeletal Complexity, Integration, Modularity, and Evolvability of the Primate Head and Limbs
灵长类动物头部和四肢肌肉骨骼复杂性、集成性、模块化性和进化性的多学科网络分析
- 批准号:
1516557 - 财政年份:2015
- 资助金额:
-- - 项目类别:
Standard Grant
Collaborative Research: Wind Power - Neural Network Control, Multidisciplinary Integration, and Advanced Simulation
合作研究:风电-神经网络控制、多学科集成和高级仿真
- 批准号:
1102159 - 财政年份:2011
- 资助金额:
-- - 项目类别:
Standard Grant
Collaborative Research: Wind Power - Neural Network Control, Multidisciplinary Integration, and Advanced Simulation
合作研究:风电-神经网络控制、多学科集成和高级仿真
- 批准号:
1102038 - 财政年份:2011
- 资助金额:
-- - 项目类别:
Standard Grant
SenseLab: Integration of Multidisciplinary Sensory Data
SenseLab:多学科感官数据整合
- 批准号:
8516492 - 财政年份:2009
- 资助金额:
-- - 项目类别:
SenseLab: Integration of Multidisciplinary Sensory Data
SenseLab:多学科感官数据整合
- 批准号:
8697553 - 财政年份:2009
- 资助金额:
-- - 项目类别:
SenseLab: Integration of Multidisciplinary Sensory Data
SenseLab:多学科感官数据整合
- 批准号:
7631907 - 财政年份:2009
- 资助金额:
-- - 项目类别:
SenseLab: Integration of Multidisciplinary Sensory Data
SenseLab:多学科感官数据整合
- 批准号:
7870411 - 财政年份:2009
- 资助金额:
-- - 项目类别: