SPX: Collaborative Research: Cross-layer Application-Aware Resilience at Extreme Scale (CAARES)
SPX: Collaborative Research: Cross-layer Application-Aware Resilience at Extreme Scale (CAARES)
批准号:
1725692
负责人:
George Bosilca
金额:
$26.61万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-08-15 至 2020-07-31
中文摘要
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英文摘要
The increasing demands of science and engineering applications push the limits of current large-scale systems, and is expected to achieve exascale (10^18 FLOPS) performance early in the next decade. One of the lesser studied challenge at extreme scales is the reliability of the computing system itself, primarily due to the very large number of cores and components utilized and to the sharp decrease of the Mean Time Between Failures on such systems (in the order of tens of minutes). This project departs from the traditional single component fault management model, and explores how multiple software libraries (and application components) used in the context of a single parallel application can interact to provide the holistic fault management support necessary for parallel applications targeting capability computing. This exploration will not be limited to software developed using a single parallel programming paradigm, but will be extended to encompass the more challenging case where multiple programming paradigms can be combined to achieve a common goal, to simulate a set of large scale scientific applications in use today. The goal of this project is to depart from the current siloed resilience mechanisms, and propose cross-layer composition solutions that can fundamentally address these resilience challenges at extreme scales. This exploration will not be limited to software developed using a single parallel programming paradigm, but will be extended to encompass the more challenging case where multiple programming paradigms can be combined to achieve a common goal, to simulate a set of large scale scientific applications in use today. More specifically, this proposal will address the following research challenges: (1) development of a theoretical foundation for a deeper understanding of the challenges and opportunities arising from combining different resilience models and methodologies; (2) design of a flexible programming abstraction to allow different resilience models and mechanisms to be combined to cooperate and address resilience in a more holistic manner; and (3) development of basic, programming paradigm independent, constructs necessary to implement cross-layer and domain-specific approaches to support resilience and to understand related performance / quality trade-offs. The proposed approach will be validated by exposing these generic abstractions in two different programming paradigms (MPI and OpenSHMEM), by creating and developing specialized concepts for each of these paradigms. This will enable the assessment of the validity of the concepts and the corresponding overheads imposed by the different software layers, using few software frameworks and applications.
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DOI:
10.1007/978-3-030-10549-5_61
发表时间:
2018-08
期刊:
影响因子:
--
作者:
[Valentin Le Fèvre;G. Bosilca;A. Bouteiller;T. Hérault;A. Hori;Y. Robert;J. Dongarra]
通讯作者:
Valentin Le Fèvre;G. Bosilca;A. Bouteiller;T. Hérault;A. Hori;Y. Robert;J. Dongarra
Overhead of Using Spare Nodes
使用备用节点的开销
DOI:
10.1177/1094342020901885
发表时间:
2020
期刊:
The international journal of high performance computing applications
影响因子:
--
作者:
[Hori, A., Yoshinaga, K., Herault, T., Bouteiller, A., Bosilca, G., Ishikawa, Y.]
通讯作者:
Ishikawa, Y.
DOI:
10.1016/j.future.2018.09.041
发表时间:
2019-02
期刊:
Future Gener. Comput. Syst.
影响因子:
--
作者:
[Nuria Losada;G. Bosilca;A. Bouteiller;P. González;María J. Martín]
通讯作者:
Nuria Losada;G. Bosilca;A. Bouteiller;P. González;María J. Martín
DOI:
10.1109/ftxs49593.2019.00006
发表时间:
2019-11
期刊:
2019 IEEE/ACM 9th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS)
影响因子:
--
作者:
[Nuria Losada;A. Bouteiller;G. Bosilca]
通讯作者:
Nuria Losada;A. Bouteiller;G. Bosilca
DOI:
10.1016/j.future.2020.01.026
发表时间:
2020-05
期刊:
Future Gener. Comput. Syst.
影响因子:
--
作者:
[Nuria Losada;P. González;María J. Martín;G. Bosilca;A. Bouteiller;K. Teranishi]
通讯作者:
Nuria Losada;P. González;María J. Martín;G. Bosilca;A. Bouteiller;K. Teranishi
Collaborative Research: Frameworks: Production quality Ecosystem for Programming and Executing eXtreme-scale Applications (EPEXA)
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批准号:1931384
-
项目类别:Standard Grant
-
资助金额:$199.57万
-
财政年份:2019
-
负责人:George Bosilca
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依托单位:
OAC Core: Small: Collaborative Research: Scalable Run-Time for Highly Parallel, Heterogeneous Systems
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批准号:1909015
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项目类别:Standard Grant
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资助金额:$25.0万
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财政年份:2019
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负责人:George Bosilca
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依托单位:
Collaborative Research: SI2-SSI: EVOLVE: Enhancing the Open MPI Software for Next Generation Architectures and Applications
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批准号:1664142
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项目类别:Standard Grant
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资助金额:$156.62万
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财政年份:2017
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负责人:George Bosilca
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依托单位:
Collaborative Research: SI2-SSI:Task-Based Environment for Scientific Simulation at Extreme Scale (TESSE)
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批准号:1450300
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项目类别:Standard Grant
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资助金额:$117.81万
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财政年份:2015
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负责人:George Bosilca
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依托单位:
SI2-SSE: Collaborative Research: ADAPT: Next Generation Message Passing Interface (MPI) Library - Open MPI
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批准号:1339820
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项目类别:Standard Grant
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资助金额:$34.72万
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财政年份:2013
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负责人:George Bosilca
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依托单位:
G8 Initiative: Collaborative Research: ECS: Enabling Climate Simulation at Extreme Scale
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批准号:1063019
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项目类别:Continuing Grant
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资助金额:$15.0万
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财政年份:2011
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负责人:George Bosilca
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依托单位:
Collaborative: CSR-AES: System Support for Auto-tuning MPI Applications
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批准号:0720678
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项目类别:Continuing Grant
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资助金额:$17.5万
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财政年份:2007
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负责人:George Bosilca
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依托单位:
海外基金