BD Spokes: SPOKE: MIDWEST: Collaborative:Advanced Computational Neuroscience Network (ACNN)
BD Spokes: SPOKE: MIDWEST: Collaborative:Advanced Computational Neuroscience Network (ACNN)
批准号:
1636846
负责人:
Dhabaleswar Panda
金额:
$16.65万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2019-08-31
中文摘要
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英文摘要
Novel neuroscience tools and techniques are necessary to enable insight into the building blocks of neural circuits, the interactions between these circuits that underpin the functions of the human brain, and modulation of these circuits that affect our behavior. To leverage rapid technological development in sensing, imaging, and data analysis new ground breaking advances in neuroscience are necessary to facilitate knowledge discovery using data science methods. To address this societal grand challenge, the project will foster new interdisciplinary collaborations across computing, biological, mathematical, and behavioral science disciplines together with partnerships in academia, industry, and government at multiple levels. The Big Data Neuroscience Spoke titled Midwest: Advanced Computational Neuroscience Network (ACNN) is strongly aligned with the national priority area of neuroscience and brings together a diverse set of committed regional partners to enable the Midwest region to realize the promise of Big Data for neuroscience. The ACNN Spoke will build broad consensus on the core requirements, infrastructure, and components needed to develop a new generation of sustainable interdisciplinary Neuroscience Big Data research. ACNN will leverage the strengths and resources in the Midwest region to increase innovation and collaboration for the understanding of the structure, physiology, and function of the human brain through partnerships and services in education, tools, and best practices. The ACNN will design, pilot and support powerful neuroscientific computational resources for high-throughput, collaborative, and service-oriented data aggregation, processing and open-reproducible science. The ACNN Spoke framework will address three specific problems related to neuroscience Big Data: (1) data capture, organization, and management involving multiple centers and research groups, (2) quality assurance, preprocessing and analysis that incorporates contextual metadata, and (3) data communication to software and hardware computational resources that can scale with the volume, velocity, and variety of neuroscience datasets. The ACNN will build a sustainable ecosystem of neuroscience community partners in both academia and industry using existing technologies for collaboration and virtual meeting together with face-to-face group meetings. The planned activities of the ACNN Spoke will also allow the Midwest Big Data Hub to disseminate additional Big Data technologies resources to the neuroscience community, including access to supercomputing facilities, best practices, and platforms.This award received co-funding from CISE Divisions of Advanced Cyberinfrastructure (ACI) and Information and Intelligent Systems (IIS).
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DOI:
10.1109/ucc.2018.00033
发表时间:
2018-12
期刊:
2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing (UCC)
影响因子:
--
作者:
[Shashank Gugnani;Xiaoyi Lu;D. Panda]
通讯作者:
Shashank Gugnani;Xiaoyi Lu;D. Panda
DOI:
10.1109/hipc.2018.00010
发表时间:
2018-12
期刊:
2018 IEEE 25th International Conference on High Performance Computing (HiPC)
影响因子:
--
作者:
[Rajarshi Biswas;Xiaoyi Lu;D. Panda]
通讯作者:
Rajarshi Biswas;Xiaoyi Lu;D. Panda
Spark-uDAPL: Cost-Saving Big Data Analytics on Microsoft Azure Cloud with RDMA Networks
Spark-uDAPL:使用 RDMA 网络在 Microsoft Azure 云上进行节省成本的大数据分析
DOI:
10.1109/bigdata.2018.8622615
发表时间:
2018
期刊:
Proceedings of 2018 IEEE International Conference on Big Data (Big Data
影响因子:
--
作者:
[Lu, Xiaoyi, Shankar, Dipti, Shi, Haiyang, Panda, Dhabaleswar K.]
通讯作者:
Panda, Dhabaleswar K.
DOI:
10.1109/ipdps.2019.00034
发表时间:
2019-05
期刊:
2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
影响因子:
--
作者:
[Jie Zhang;Xiaoyi Lu;Ching-Hsiang Chu;D. Panda]
通讯作者:
Jie Zhang;Xiaoyi Lu;Ching-Hsiang Chu;D. Panda
DOI:
10.1007/978-3-030-32813-9_18
发表时间:
2018-12
期刊:
影响因子:
--
作者:
[Haiyang Shi;Xiaoyi Lu;D. Panda]
通讯作者:
Haiyang Shi;Xiaoyi Lu;D. Panda
共 7 条
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批准号:2312927
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项目类别:Standard Grant
-
资助金额:$60.0万
-
财政年份:2023
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负责人:Dhabaleswar Panda
-
依托单位:
Travel: Student Travel Support for MVAPICH User Group (MUG) 2023 Conference
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批准号:2331223
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项目类别:Standard Grant
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资助金额:$1.0万
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财政年份:2023
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负责人:Dhabaleswar Panda
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依托单位:
Collaborative Research: Frameworks: Performance Engineering Scientific Applications with MVAPICH and TAU using Emerging Communication Primitives
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批准号:2311830
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项目类别:Standard Grant
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资助金额:$90.0万
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财政年份:2023
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负责人:Dhabaleswar Panda
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依托单位:
Travel: Student Travel Support for MVAPICH User group (MUG) 2022 Conference
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批准号:2231825
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项目类别:Standard Grant
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资助金额:$1.0万
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财政年份:2022
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负责人:Dhabaleswar Panda
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依托单位:
AI Institute for Intelligent CyberInfrastructure with Computational Learning in the Environment (ICICLE)
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批准号:2112606
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项目类别:Cooperative Agreement
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资助金额:$2000.0万
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财政年份:2021
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负责人:Dhabaleswar Panda
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依托单位:
MRI: RADiCAL: Reconfigurable Major Research Cyberinfrastructure for Advanced Computational Data Analytics and Machine Learning
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批准号:2018627
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项目类别:Standard Grant
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资助金额:$77.0万
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财政年份:2020
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负责人:Dhabaleswar Panda
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依托单位:
OAC Core: Small: Next-Generation Communication and I/O Middleware for HPC and Deep Learning with Smart NICs
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批准号:2007991
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项目类别:Standard Grant
-
资助金额:$50.0万
-
财政年份:2020
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负责人:Dhabaleswar Panda
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依托单位:
Student Travel Support for MVAPICH User Group (MUG) Meeting
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批准号:1930003
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项目类别:Standard Grant
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资助金额:$1.0万
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财政年份:2019
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负责人:Dhabaleswar Panda
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依托单位:
Collaborative Research: Frameworks: Designing Next-Generation MPI Libraries for Emerging Dense GPU Systems
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批准号:1931537
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项目类别:Standard Grant
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资助金额:$136.05万
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财政年份:2019
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负责人:Dhabaleswar Panda
-
依托单位:
Student Travel Support for MVAPICH User Group (MUG) Meeting
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批准号:1839739
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项目类别:Standard Grant
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资助金额:$1.0万
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财政年份:2018
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负责人:Dhabaleswar Panda
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依托单位:
SI2-SSI: FAMII: High Performance and Scalable Fabric Analysis, Monitoring and Introspection Infrastructure for HPC and Big Data
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批准号:1664137
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资助金额:$80.0万
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负责人:Dhabaleswar Panda
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依托单位:
Student Travel Support for MVAPICH User group (MUG) Meeting
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项目类别:Standard Grant
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资助金额:$1.0万
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财政年份:2017
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负责人:Dhabaleswar Panda
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依托单位:
SHF: Large: Collaborative Research: Next Generation Communication Mechanisms exploiting Heterogeneity, Hierarchy and Concurrency for Emerging HPC Systems
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批准号:1565414
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项目类别:Standard Grant
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资助金额:$117.19万
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负责人:Dhabaleswar Panda
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依托单位:
Student Travel Support for MVAPICH User Group (MUG) Meeting
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批准号:1644528
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项目类别:Standard Grant
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资助金额:$1.0万
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财政年份:2016
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负责人:Dhabaleswar Panda
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依托单位:
SI2-SSI: Collaborative Research: A Software Infrastructure for MPI Performance Engineering: Integrating MVAPICH and TAU via the MPI Tools Interface
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项目类别:Standard Grant
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资助金额:$120.0万
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负责人:Dhabaleswar Panda
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依托单位:
Collaborative Research: Chameleon: A Large-Scale, Reconfigurable Experimental Environment for Cloud Research
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批准号:1419123
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项目类别:Cooperative Agreement
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资助金额:$60.0万
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财政年份:2014
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依托单位:
BIGDATA: F: DKM: Collaborative Research: Scalable Middleware for Managing and Processing Big Data on Next Generation HPC Systems
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资助金额:$72.02万
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CSR: Eager: HPC Virtualization with SR-IOV
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资助金额:$9.83万
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依托单位:
Collaborative Research: SI2-SSI: A Comprehensive Performance Tuning Framework for the MPI Stack
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批准号:1148371
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项目类别:Standard Grant
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资助金额:$125.16万
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负责人:Dhabaleswar Panda
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依托单位:
SHF: Large: Collaborative Research: Unified Runtime for Supporting Hybrid Programming Models on Heterogeneous Architecture
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负责人:Dhabaleswar Panda
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依托单位:
海外基金