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

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.
超级计算机被用于为发现提供动力,并减少各种学科(如工程,物理科学和医疗保健)的结果时间。为了最佳地使用大型超级计算平台,需要可扩展和高效的软件,从而有效地利用NSF在国家先进的网络基础设施(CI)中的投资。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,并且反过来,为超级计算机开发高效软件的任务进一步变得具有挑战性和复杂性。为了缓解这些挑战,需要有一个论坛,汇集不同的利益相关者-研究人员和从业人员从软件工程和超级计算领域。为了提供这样一个平台,正在印度举办第二次关于“Exascale计算面临的软件挑战”的讲习班。该项目资助来自不同背景的10名美国学生参加研讨会,并将为他们提供在“超级计算平台软件”领域发展技能的机会。SCEC研讨会不仅将向与会者介绍超级计算机大规模软件开发面临的挑战,还将引导他们朝着建立国际合作的方向发展,以找到应对这些挑战的解决方案。该项目为劳动力发展提供了机会,并符合国家利益,正如NSF的使命所述:促进科学进步;促进国家健康,繁荣和福利;或确保国防。研讨会的参与者将了解两个NSF资助的超级计算机-Stampede 2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,高效和便携式软件的实践经验。SCEC研讨会将提供一个论坛,通过这个论坛,硬件供应商和软件开发人员可以相互交流,并影响下一代超级计算系统的架构和支持软件栈。通过促进跨学科协会,SCEC研讨会将成为未来创新的垫脚石。该研讨会将使超级计算领域的研究人员、学生和从业人员受益,为他们提供向公众传播成果的机会,并寻找潜在的合作者。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,并了解实习、就业和高等教育的机会。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
  • 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
Thermal stability, dielectric and conductivity characteristics of 9,10-anthracene-diol-anhydride polycondensates
  • DOI:
    10.1007/bf00395581
  • 发表时间:
    1990-11-01
  • 期刊:
  • 影响因子:
    4.000
  • 作者:
    Amitava Majumdar;Mukul Biswas
  • 通讯作者:
    Mukul Biswas
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
A parallel Monte Carlo code for planar and SPECT imaging: implementation, verification and applications in /sup 131/I SPECT
用于平面和 SPECT 成像的并行蒙特卡罗代码:/sup 131/I SPECT 中的实现、验证和应用
Neuromorphic computing at scale
大规模神经形态计算
  • DOI:
    10.1038/s41586-024-08253-8
  • 发表时间:
    2025-01-22
  • 期刊:
  • 影响因子:
    48.500
  • 作者:
    Dhireesha Kudithipudi;Catherine Schuman;Craig M. Vineyard;Tej Pandit;Cory Merkel;Rajkumar Kubendran;James B. Aimone;Garrick Orchard;Christian Mayr;Ryad Benosman;Joe Hays;Cliff Young;Chiara Bartolozzi;Amitava Majumdar;Suma George Cardwell;Melika Payvand;Sonia Buckley;Shruti Kulkarni;Hector A. Gonzalez;Gert Cauwenberghs;Chetan Singh Thakur;Anand Subramoney;Steve Furber
  • 通讯作者:
    Steve Furber

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
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: 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
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
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
Collaborative Research: ABI Development: Building A Community Resource for Neuroscientists
合作研究:ABI 开发:为神经科学家建立社区资源
  • 批准号:
    1146949
  • 财政年份:
    2012
  • 资助金额:
    $ 2.78万
  • 项目类别:
    Standard Grant

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