Promoting International Collaboration on Developing Scalable, Portable & Efficient HPC Software for Modern HPC Platforms
促进开发可扩展、便携的国际合作
基本信息
- 批准号:1849519
- 负责人:
- 金额:$ 2.78万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-10-01 至 2021-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Supercomputers are used to power discoveries and to reduce the time-to-results in a wide variety of disciplines such as engineering, physical sciences, and healthcare. Scalable and efficient software is required for optimally using the large-scale supercomputing platforms, and thereby, effectively leveraging NSF investments in the nation's advanced CyberInfrastructure (CI). With the rapid advancement in the computer architecture discipline, the complexity of the processors that are used in the supercomputers is also increasing, and, in turn, the task of developing efficient software for supercomputers is further becoming challenging and complex. To mitigate such challenges, there is a need for forums that brings together different stakeholders - the researchers and practitioners from the areas of software engineering and supercomputing. To provide such a platform, the second workshop on "Software Challenges to Exascale Computing (SCEC)" is being organized in India. This project funds the participation of ten US students from diverse backgrounds in the workshop and will provide them the opportunities to develop their skills in the area of "software for supercomputing platforms". The SCEC workshop will not only inform the participants about the challenges in large-scale software development for supercomputers but will also steer them in the direction of building international collaborations for finding solutions to those challenges. The project provides opportunities for workforce development, and serves the national interest, as stated by NSF's mission: to promote the progress of science; to advance the national health, prosperity and welfare; or to secure the national defense. The workshop participants will learn about the two NSF funded supercomputers - Stampede2 and Comet - and will get practical experience at developing scalable, efficient, and portable software on those systems through tutorials and "bring your own code" sessions. The SCEC workshop will provide a forum through which hardware vendors and software developers can communicate with each other and influence the architecture of the next generation supercomputing systems and the supporting software stack. By fostering cross-disciplinary associations, the SCEC workshop will serve as a stepping-stone towards innovations in the future. The workshop will benefit researchers, students, and practitioners in supercomputing by providing them an opportunity to disseminate their results to the public, and find potential collaborators. The students funded through this project will get an opportunity to network with professionals, faculties and researchers working in the areas of supercomputing and software engineering, and will get to learn about the opportunities for internships, jobs, and higher education.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.
超级计算机用于推动工程、物理科学和医疗保健等众多学科的发现并缩短获得结果的时间。需要可扩展且高效的软件才能最佳地使用大型超级计算平台,从而有效利用 NSF 对国家先进网络基础设施 (CI) 的投资。随着计算机体系结构学科的快速发展,超级计算机中使用的处理器的复杂性也在增加,反过来,为超级计算机开发高效软件的任务也变得更加具有挑战性和复杂性。为了缓解这些挑战,需要建立将不同利益相关者(来自软件工程和超级计算领域的研究人员和从业者)聚集在一起的论坛。为了提供这样一个平台,第二届“百亿亿次计算的软件挑战(SCEC)”研讨会正在印度举办。该项目资助十名来自不同背景的美国学生参加研讨会,并将为他们提供发展“超级计算平台软件”领域技能的机会。 SCEC 研讨会不仅将向参与者介绍超级计算机大规模软件开发的挑战,还将引导他们建立国际合作的方向,以寻找这些挑战的解决方案。该项目为劳动力发展提供了机会,并服务于国家利益,正如 NSF 的使命所述:促进科学进步;促进国民健康、繁荣和福利;或确保国防。研讨会参与者将了解两台 NSF 资助的超级计算机 - Stampede2 和 Comet - 并将通过教程和“自带代码”课程获得在这些系统上开发可扩展、高效和可移植软件的实践经验。 SCEC研讨会将提供一个论坛,硬件供应商和软件开发人员可以通过该论坛相互交流并影响下一代超级计算系统的架构和支持软件堆栈。通过培育跨学科协会,SCEC 研讨会将成为未来创新的垫脚石。该研讨会将为超级计算领域的研究人员、学生和从业者提供向公众传播其成果并寻找潜在合作者的机会,从而使他们受益。通过该项目资助的学生将有机会与超级计算和软件工程领域的专业人士、教师和研究人员建立联系,并将了解实习、工作和高等教育的机会。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值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(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Software Challenges to Exascale Computing
百亿亿次计算面临的软件挑战
- DOI:
- 发表时间:2019-03
- 期刊:
- 影响因子:0
- 作者:Majumdar, Amit;Arora, Ritu
- 通讯作者:Arora, Ritu
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Amitava Majumdar其他文献
Cyberinfrastructure Usage Modalities on the TeraGrid
TeraGrid 上的网络基础设施使用方式
- DOI:
10.1109/ipdps.2011.239 - 发表时间:
2011-05-16 - 期刊:
- 影响因子:0
- 作者:
Daniel S. Katz;David L. Hart;C. Jordan;Amitava Majumdar;J. Navarro;Warren Smith;John Towns;Von Welch;Nancy Wilkins - 通讯作者:
Nancy Wilkins
Avoiding burnt probe tips: Practical solutions for testing internally regulated power supplies
避免探针尖端烧毁:测试内部稳压电源的实用解决方案
- DOI:
10.1109/ets.2014.6847810 - 发表时间:
2014-05-26 - 期刊:
- 影响因子:0
- 作者:
R. Swanson;Anna Wong;S. Ethirajan;Amitava Majumdar - 通讯作者:
Amitava Majumdar
GPU-based ultra-fast dose calculation using a finite size pencil beam model
使用有限尺寸笔形射束模型进行基于 GPU 的超快速剂量计算
- DOI:
- 发表时间:
2009 - 期刊:
- 影响因子:3.5
- 作者:
Xuejun Gu;Dongju Choi;C. Men;Hubert Pan;Amitava Majumdar;Steve B Jiang - 通讯作者:
Steve B Jiang
A scalable, low cost design-for-test architecture for UltraSPARC/spl trade/ chip multi-processors
适用于 UltraSPARC/spl trade/chip 多处理器的可扩展、低成本测试设计架构
- DOI:
10.1109/test.2002.1041825 - 发表时间:
2002-10-07 - 期刊:
- 影响因子:0
- 作者:
I. Parulkar;T. Ziaja;R. Pendurkar;An;L. D'Souza;Amitava Majumdar - 通讯作者:
Amitava Majumdar
Ground bounce considerations in DC parametric test generation using boundary scan
使用边界扫描生成直流参数测试时的地弹注意事项
- DOI:
10.1109/vtest.1998.670853 - 发表时间:
1998-04-26 - 期刊:
- 影响因子:0
- 作者:
Amitava Majumdar;M. Komoda;Tim Ayres - 通讯作者:
Tim Ayres
Amitava Majumdar的其他文献
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{{ truncateString('Amitava Majumdar', 18)}}的其他基金
Collaborative Research: Frameworks: hpcGPT: Enhancing Computing Center User Support with HPC-enriched Generative AI
协作研究:框架:hpcGPT:通过 HPC 丰富的生成式 AI 增强计算中心用户支持
- 批准号:
2411297 - 财政年份:2024
- 资助金额:
$ 2.78万 - 项目类别:
Standard Grant
Collaborative Research: CIBR: Building Capacity for Data-driven Neuroscience Research
合作研究:CIBR:数据驱动神经科学研究能力建设
- 批准号:
1935749 - 财政年份:2020
- 资助金额:
$ 2.78万 - 项目类别:
Standard Grant
Category II: Exploring Neural Network Processors for AI in Science and Engineering
第二类:探索科学与工程中人工智能的神经网络处理器
- 批准号:
2005369 - 财政年份:2020
- 资助金额:
$ 2.78万 - 项目类别:
Cooperative Agreement
Collaborative Research: Frameworks: Designing Next-Generation MPI Libraries for Emerging Dense GPU Systems
协作研究:框架:为新兴密集 GPU 系统设计下一代 MPI 库
- 批准号:
1931450 - 财政年份:2019
- 资助金额:
$ 2.78万 - 项目类别:
Standard Grant
SHF: Large: Collaborative Research: Next Generation Communication Mechanisms exploiting Heterogeneity, Hierarchy and Concurrency for Emerging HPC Systems
SHF:大型:协作研究:利用新兴 HPC 系统的异构性、层次结构和并发性的下一代通信机制
- 批准号:
1565336 - 财政年份:2016
- 资助金额:
$ 2.78万 - 项目类别:
Standard Grant
Bilateral BBSRC-NSF/BIO: Collaborative Research: ABI Development: Seamless Integration of Neuroscience Models and Tools with HPC - Easy Path to Supercomputing for Neuroscience
双边 BBSRC-NSF/BIO:合作研究:ABI 开发:神经科学模型和工具与 HPC 的无缝集成 - 神经科学超级计算的简单途径
- 批准号:
1458840 - 财政年份:2015
- 资助金额:
$ 2.78万 - 项目类别:
Standard Grant
BIGDATA: F: DKM: Collaborative Research: Scalable Middleware for Managing and Processing Big Data on Next Generation HPC Systems
BIGDATA:F:DKM:协作研究:用于在下一代 HPC 系统上管理和处理大数据的可扩展中间件
- 批准号:
1447861 - 财政年份:2014
- 资助金额:
$ 2.78万 - 项目类别:
Standard Grant
Collaborative Research SI2-SSE:Sustained Innovation in Acceleration of Molecular Dynamics on Future Computational Environments: Power to the People in the Cloud and on Accelerators
合作研究 SI2-SSE:未来计算环境中分子动力学加速的持续创新:为云端和加速器中的人们提供力量
- 批准号:
1148276 - 财政年份:2012
- 资助金额:
$ 2.78万 - 项目类别:
Standard Grant
SHF: Large: Collaborative Research: Unified Runtime for Supporting Hybrid Programming Models on Heterogeneous Architecture.
SHF:大型:协作研究:支持异构架构上的混合编程模型的统一运行时。
- 批准号:
1213056 - 财政年份:2012
- 资助金额:
$ 2.78万 - 项目类别:
Standard Grant
Collaborative Research: SI2-SSI: A Comprehensive Performance Tuning Framework for the MPI Stack
合作研究:SI2-SSI:MPI 堆栈的综合性能调优框架
- 批准号:
1147926 - 财政年份:2012
- 资助金额:
$ 2.78万 - 项目类别:
Standard Grant
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