Toward a common digital continuum platform for big data and extreme-scale computing (BDEC2)
迈向大数据和超大规模计算的通用数字连续平台 (BDEC2)
基本信息
- 批准号:1849625
- 负责人:
- 金额:$ 20.34万
- 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 2020-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
By the end of this decade, the world's store of digital data is projected to reach 40 zetabytes (10 to the power 21 bytes), while the number of network-connected devices (sensors, actuators, instruments, computers, and data stores) is expected to reach 20 billion. While these devices vary dramatically in their capabilities and number, taken collectively they represent a vast "digital continuum" of computing power and prolific data generators that scientific, economic, social, governmental and military concerns of all kinds will want and need to utilize. The diverse set of powerful forces propelling the growth of this digital continuum are prompting calls from various quarters for a next generation network computing platform - a digital continuum platform (DCP) - for creating distributed services in a world permeated by devices and saturated by digital data. But experience shows how challenging the creation of such a future-defining platform is likely to be, especially if the goal is to maximize its acceptance and use, and thereby the size of the community of interoperability it supports. Focusing on the strategically important realm of scientific research, broadly conceived, this project is staging six international workshops (two each in the United States, Europe, and Asia over a two-year period) to enable transnational research communities in a wide range of disciplines to converge on a common DCP to meet this challenge. Building on a decade of leadership in cyberinfrastructure planning, the Big Data and Extreme-scale Computing (BDEC2) community is attacking this problem by pursuing three complementary objectives: 1. Draft a design for a "digital continuum platform" (DCP) to serve as shared software infrastructure for the growing continuum of computing devices and data sources on which future science will rely; 2. Organize and plan an international demonstration of the feasibility and potential of the DCP; and3. Develop a corresponding "shaping strategy" that addresses all relevant stakeholders and moves the community toward convergence on a standard DCP specification. Thus, the project serves the national interest, as stated by NSF's mission: to promote the progress of science and to secure the national defense.Creating a common digital continuum platform represents a grand challenge problem for the global cyberinfrastructure community. To address this monumental challenge and achieve its objectives, the BDEC2 community is organizing around four distinct but complementary activities:1. Surveying and analyzing the spectrum of application/workflow needs across diverse research and engineering communities who will use the digital continuum; 2. Developing a reference design for a DCP system architecture that is able to manage the trade offs involved in using a widely shared infrastructure to satisfy diverse application community requirements; 3. Strengthening cooperative and crosscutting efforts among stakeholders (e.g., research communities, commercial vendors, software developers, resource providers) in the "cyber ecosystem" of science and engineering; and 4. Formulating a strategy for building community consensus on a common digital continuum within this same collection of stakeholders.To help researchers converge on critical problems for important user communities, foster and focus collaboration to solve those problems, and better coordinate software research and data sharing, the BDEC2 community process engages both international software research and data science communities. The process also includes inter-meeting working groups (e.g., for application/workflow analysis and DCP architecture). Combined with the work of the international meetings themselves, these working groups are intended to accelerate community-wide discussion and collaborative activities needed to address the multi-dimensional challenges of the emerging digital continuum. By achieving its goals, this project intends to supply the different stakeholder communities with the kind of well-defined vision and consensus building strategy necessary to realize a common, open, and interoperable DCP for digital continuum era. The project actively promotes participation by talented young scientists (up to 15 across the series) drawn from the academic community and with special attention to women and minorities.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.
到本世纪末,全球数字数据存储量预计将达到40 zetabytes(10的21次方字节),而联网设备(传感器、执行器、仪器、计算机和数据存储)的数量预计将达到200亿。虽然这些设备的能力和数量差异很大,但总体而言,它们代表了一个巨大的计算能力和多产数据生成器的“数字连续体”,各种科学、经济、社会、政府和军事问题都希望并需要利用。推动这一数字连续体增长的各种强大力量促使各方呼吁下一代网络计算平台-数字连续体平台(DCP)-在设备渗透和数字数据饱和的世界中创建分布式服务。但经验表明,创建这样一个定义未来的平台可能是多么具有挑战性,特别是如果目标是最大限度地提高其接受度和使用率,从而扩大其支持的互操作性社区的规模。该项目着眼于具有战略重要性的科学研究领域,构思广泛,正在举办六次国际研讨会(在美国,欧洲和亚洲各举办两次,为期两年),以使广泛学科的跨国研究社区能够汇聚在一个共同的DCP上,以迎接这一挑战。基于在网络基础设施规划方面十年的领导地位,大数据和极端规模计算(BDEC 2)社区正在通过追求三个互补目标来解决这个问题:1.起草一个“数字连续体平台”(DCP)的设计,作为未来科学所依赖的不断增长的计算设备和数据源的共享软件基础设施; 2.组织和计划一次关于DCP可行性和潜力的国际演示;制定相应的“塑造策略”,解决所有相关利益相关者的问题,并推动社区朝着标准DCP规范的方向发展。因此,正如NSF的使命所述,该项目服务于国家利益:促进科学进步,保障国防安全。创建一个通用的数字连续体平台是全球网络基础设施社区面临的一个重大挑战。为了应对这一巨大挑战并实现其目标,BDEC 2社区正在围绕四项不同但互补的活动组织活动:调查和分析将使用数字连续体的不同研究和工程社区的应用程序/工作流程需求; 2.为DCP系统架构开发一个参考设计,该架构能够管理使用广泛共享的基础设施所涉及的权衡,以满足不同的应用程序社区需求; 3.加强利益攸关方之间的合作和跨领域努力(例如,研究团体、商业供应商、软件开发商、资源提供商)在科学和工程的“网络生态系统”中的作用;以及4.制定一项战略,以便在同一批利益攸关方中就共同的数字连续体建立社区共识。为了帮助研究人员集中解决重要用户社区的关键问题,促进和集中合作解决这些问题,并更好地协调软件研究和数据共享,BDEC 2社区进程吸引了国际软件研究和数据科学社区的参与。该进程还包括闭会期间工作组(例如,用于应用程序/工作流分析和DCP架构)。这些工作组与国际会议本身的工作相结合,旨在加快全社区的讨论和合作活动,以应对新出现的数字连续体的多层面挑战。通过实现其目标,该项目旨在为不同的利益相关者社区提供定义明确的愿景和建立共识的战略,以实现数字连续体时代的共同,开放和互操作的DCP。该项目积极促进来自学术界的有才华的青年科学家(整个系列最多15名)的参与,并特别关注妇女和少数民族。该奖项反映了NSF的法定使命,并通过使用基金会的知识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(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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Jack Dongarra其他文献
The co-evolution of computational physics and high-performance computing
计算物理与高性能计算的协同演化
- DOI:
10.1038/s42254-024-00750-z - 发表时间:
2024-08-23 - 期刊:
- 影响因子:39.500
- 作者:
Jack Dongarra;David Keyes - 通讯作者:
David Keyes
hipMAGMA v1.0
hipMAGMA v1.0
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Cade Brown;Ahmad Abdelfattah;Stanimire Tomov;Jack Dongarra - 通讯作者:
Jack Dongarra
The eigenvalue problem for Hermitian matrices with time reversal symmetry
具有时间反演对称性的 Hermitian 矩阵的特征值问题
- DOI:
10.1016/0024-3795(84)90068-5 - 发表时间:
1984 - 期刊:
- 影响因子:1.1
- 作者:
Jack Dongarra;J. R. Gabriel;D. D. Koelling;James Hardy Wilkinson - 通讯作者:
James Hardy Wilkinson
Analyzing Performance of BiCGStab with Hierarchical Matrix on GPU clusters
使用分层矩阵分析 BiCGStab 在 GPU 集群上的性能
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Ichitaro Yamazaki;Ahmad Abdelfattah;Akihiro Ida;Satoshi Ohshima;Stanimire Tomov;Rio Yokota;Jack Dongarra - 通讯作者:
Jack Dongarra
Self-healing network for scalable fault-tolerant runtime environments
- DOI:
10.1016/j.future.2009.04.001 - 发表时间:
2010-03-01 - 期刊:
- 影响因子:
- 作者:
Thara Angskun;Graham Fagg;George Bosilca;Jelena Pješivac-Grbović;Jack Dongarra - 通讯作者:
Jack Dongarra
Jack Dongarra的其他文献
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{{ truncateString('Jack Dongarra', 18)}}的其他基金
Travel: Workshop on Clusters, Clouds, and Data Analytics for Scientific Computing 2024
旅行:2024 年科学计算集群、云和数据分析研讨会
- 批准号:
2336813 - 财政年份:2023
- 资助金额:
$ 20.34万 - 项目类别:
Standard Grant
Workshop on Clusters, Clouds, and Data Analytics for Scientific Computing
科学计算集群、云和数据分析研讨会
- 批准号:
2001329 - 财政年份:2020
- 资助金额:
$ 20.34万 - 项目类别:
Standard Grant
Workshop on Clusters, Clouds, and Data Analytics in Scientific Computing
科学计算中的集群、云和数据分析研讨会
- 批准号:
1800946 - 财政年份:2018
- 资助金额:
$ 20.34万 - 项目类别:
Standard Grant
Collaborative Research: ACI-CDS&E: Highly Parallel Algorithms and Architectures for Convex Optimization for Realtime Embedded Systems (CORES)
合作研究:ACI-CDS
- 批准号:
1709069 - 财政年份:2017
- 资助金额:
$ 20.34万 - 项目类别:
Standard Grant
Workshop on Clusters, Clouds and Data Analytics in Scientific Computing
科学计算中的集群、云和数据分析研讨会
- 批准号:
1606551 - 财政年份:2016
- 资助金额:
$ 20.34万 - 项目类别:
Standard Grant
SHF: Small: Empirical Autotuning of Parallel Computation for Scalable Hybrid Systems
SHF:小型:可扩展混合系统并行计算的经验自动调整
- 批准号:
1527706 - 财政年份:2015
- 资助金额:
$ 20.34万 - 项目类别:
Standard Grant
Collaborative Research: EMBRACE: Evolvable Methods for Benchmarking Realism through Application and Community Engagement
合作研究:拥抱:通过应用和社区参与对现实主义进行基准测试的演化方法
- 批准号:
1535025 - 财政年份:2015
- 资助金额:
$ 20.34万 - 项目类别:
Standard Grant
SI2-SSI: Collaborative Proposal: Performance Application Programming Interface for Extreme-Scale Environments (PAPI-EX)
SI2-SSI:协作提案:极端规模环境的性能应用程序编程接口 (PAPI-EX)
- 批准号:
1450429 - 财政年份:2015
- 资助金额:
$ 20.34万 - 项目类别:
Standard Grant
CSR:Medium:Collaborative Research: SparseKaffe: high-performance, auto-tuned, energy-aware algorithms for sparse direct methods on modern heterogeneous architectures
CSR:Medium:协作研究:SparseKaffe:现代异构架构上稀疏直接方法的高性能、自动调整、能量感知算法
- 批准号:
1514286 - 财政年份:2015
- 资助金额:
$ 20.34万 - 项目类别:
Continuing Grant
EAGER: Collaborative Research: Memristive Accelerator for Extreme Scale Linear Solvers
EAGER:协作研究:用于超大规模线性求解器的忆阻加速器
- 批准号:
1548093 - 财政年份:2015
- 资助金额:
$ 20.34万 - 项目类别:
Standard Grant
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