Massively Parallel Algorithms for Distance Approximation and Spanners
Author:
Affiliation:
1. Massachusetts Institute of Technology, Cambridge, MA, USA
2. ETH Zurich, Zurich, Switzerland
3. Johns Hopkins University, Baltimore, MD, USA
Funder
European Research Council
Swiss NSF
NSF (National Science Foundation)
Fintech@CSAIL
MIT-IBM Watson AI Lab and Research Collaboration
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3409964.3461784
Reference55 articles.
1. Kook Jin Ahn and Sudipto Guha. 2015. Access to Data and Number of Iterations: Dual Primal Algorithms for Maximum Matching Under Resource Constraints. In SPAA. 202--211. Kook Jin Ahn and Sudipto Guha. 2015. Access to Data and Number of Iterations: Dual Primal Algorithms for Maximum Matching Under Resource Constraints. In SPAA. 202--211.
2. Parallel algorithms for geometric graph problems
3. Parallel Graph Connectivity in Log Diameter Rounds
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