Fine-grained, multi-domain network resource abstraction as a fundamental primitive to enable high-performance, collaborative data sciences

Article Details
Title:	Fine-grained, multi-domain network resource abstraction as a fundamental primitive to enable high-performance, collaborative data sciences
Article URLs:	http://dl.acm.org/citation.cfm?id=3291663
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Authors:	Qiao Xiang	Tongji University
	J. Jensen Zhang	Tongji University
	X. Tony Wang	Tongji University
	Y. Jace Liu	Tongji University
	Chin Guok	Lawrence Berkeley National Laboratory
	Franck Le	IBM T.J. Watson Research Center
	John MacAuley	Lawrence Berkeley National Laboratory
	Harvey Newman	California Institute of Technology
	Yang Richard Yang	Tongji University Yale University
Sharing:	Research produced artifacts
Verification:	Authors have verified information
Artifact Evaluation Badge:	none
Artifact URLs:	https://ieeexplore.ieee.org/document/8665783 https://dl.acm.org/doi/10.1145/3234200.3234208 https://dl.acm.org/doi/10.5555/3291656.3291663
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NSF Award Numbers:	1440745, 1246133, 1341024, 1120138, 1659403
DBLP Key:	conf/sc/XiangZWLGLMNY18
Author Comments:

ACM/IEEE Intl. Conf. for High Perf. Computing, Networking, Storage and Analysis, SC 2018