Mimir: Memory-Efficient and Scalable MapReduce for Large Supercomputing Systems

Article Details
Title:	Mimir: Memory-Efficient and Scalable MapReduce for Large Supercomputing Systems
Article URLs:	https://doi.org/10.1109/IPDPS.2017.31 http://doi.ieeecomputersociety.org/10.1109/IPDPS.2017.31
Alternative Article URLs:
Authors:	Tao Gao	Argonne National Laboratory National University of Defense Technology
	Yanfei Guo	Argonne National Laboratory
	Boyu Zhang	University of Delaware
	Pietro Cicotti	San Diego Supercomputer Center
	Yutong Lu	National Supercomputing Center in Guangzhou Sun Yat-sen University National University of Defense Technology
	Pavan Balaji	Argonne National Laboratory
	Michela Taufer	University of Delaware
Sharing:	Unknown
Verification:	Authors have not verified information
Artifact Evaluation Badge:	none
Artifact URLs:	https://github.com/TauferLab/Mimir.git
Artifact Correspondence Email Addresses:
NSF Award Numbers:	1318445, 1318417, 1053575
DBLP Key:	conf/ipps/GaoGZCLBT17
Author Comments:

IEEE Intl. Parallel and Distributed Processing Symposium, IPDPS 2017