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.
到本十年末,世界上数字数据存储的预计将达到40个Zetabytes(power 21字节10),而网络连接的设备(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。尽管这些设备的能力和数量差异很大,但它们集体代表了计算能力和多产数据生成器的巨大“数字连续性”,各种科学,经济,社会,政府和军事关注者都需要和需要利用。多种强大的力量推动了这种数字连续体的增长,这引发了各个方面的呼吁,以呼吁下一代网络计算平台 - 数字连续体平台(DCP) - 用于在设备渗透并被数字数据饱和的世界中创建分布式服务。但是,经验表明,这种未来定义平台的创建如何挑战,尤其是如果目标是最大程度地提高其接受和使用,从而使其支持的互操作性社区的大小。该项目关注科学研究的战略性重要领域,在两年期间在美国,欧洲和亚洲进行了六个国际研讨会(每个在美国,欧洲和亚洲各自的研讨会),以使跨国研究社区能够在广泛的学科中汇聚,以汇聚在共同的DCP上,以应对这一挑战。大数据和极端计算(BDEC2)社区的基础十年来,通过追求三个互补的目标来攻击这一问题:1。为“数字连续性平台”(DCP)起草设计,以作为共享的软件基础结构作为对计算设备和数据源依赖的共享软件的共享软件基础设施,以实现未来的科学依赖的依赖,以实现未来的科学依赖的依赖,这将是未来的科学依赖的连续性。 2。组织并计划国际DCP的可行性和潜力;和3。制定相应的“塑造策略”,以解决所有相关的利益相关者,并将社区推向标准DCP规范的融合。因此,正如NSF的使命所指出的那样,该项目为国家利益提供了服务:促进科学的进步并确保国防。创建一个共同的数字连续性平台代表了全球网络基础设施社区的一个巨大挑战问题。为了应对这一巨大的挑战并实现其目标,BDEC2社区正在组织四个不同但互补的活动:1。调查和分析将使用数字连续体的各种研究和工程社区的应用/工作流程需求的范围; 2。为DCP系统体系结构开发参考设计,该设计能够管理使用广泛共享的基础架构来满足各种应用程序社区需求的涉及的交易。 3.在科学与工程的“网络生态系统”中,利益相关者(例如研究社区,商业供应商,软件开发人员,资源提供商)之间加强合作和横切工作; 4。制定一项在同一利益相关者集合中建立共同数字连续性的策略,以帮助研究人员汇聚重要的用户社区的关键问题,促进和集中精力协作以解决这些问题,并更好地协调软件研究和数据共享,BDEC2社区流程与国际软件研究和数据科学社区互动。该过程还包括会议间工作组(例如,用于应用程序/工作流分析和DCP架构)。结合国际会议本身的工作,这些工作组旨在加快社区范围内的讨论和协作活动,以应对新兴数字连续体的多维挑战。通过实现其目标,该项目打算为不同的利益相关者社区提供定义明确的愿景和共识的建立策略,以实现数字连续体时代的共同,开放和可互操作的DCP。该项目积极促进了从学术界吸引的才华横溢的年轻科学家(在整个系列中最多15个)的参与,并特别关注妇女和少数民族。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子的评估来支持的,并具有更广泛的影响。
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
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
Special section: Cluster and computational grids for scientific computing
- DOI:
10.1016/j.future.2007.03.005 - 发表时间:
2008-01-01 - 期刊:
- 影响因子:
- 作者:
Jack Dongarra;Bernard Tourancheau - 通讯作者:
Bernard Tourancheau
Special section: Grid computing and the message passing interface
- DOI:
10.1016/j.future.2007.06.002 - 发表时间:
2008-02-01 - 期刊:
- 影响因子:
- 作者:
Beniamino Di Martino;Dieter Kranzlmüller;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
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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