Huang, Xuan, Klacansky, Pavol, Petruzza, Steve, Gyulassy, Attila, Bremer, Peer-Timo, and Pascucci, Valerio. Distributed merge forest: a new fast and scalable approach for topological analysis at scale. Retrieved from https://par.nsf.gov/biblio/10350126. ICS '21: Proceedings of the ACM International Conference on Supercomputing . Web. doi:10.1145/3447818.3460358.

Huang, Xuan, Klacansky, Pavol, Petruzza, Steve, Gyulassy, Attila, Bremer, Peer-Timo, & Pascucci, Valerio. Distributed merge forest: a new fast and scalable approach for topological analysis at scale. ICS '21: Proceedings of the ACM International Conference on Supercomputing, (). Retrieved from https://par.nsf.gov/biblio/10350126. https://doi.org/10.1145/3447818.3460358

Huang, Xuan, Klacansky, Pavol, Petruzza, Steve, Gyulassy, Attila, Bremer, Peer-Timo, and Pascucci, Valerio. "Distributed merge forest: a new fast and scalable approach for topological analysis at scale". ICS '21: Proceedings of the ACM International Conference on Supercomputing (). Country unknown/Code not available. https://doi.org/10.1145/3447818.3460358. https://par.nsf.gov/biblio/10350126.

@article{osti_10350126,
place = {Country unknown/Code not available}, title = {Distributed merge forest: a new fast and scalable approach for topological analysis at scale}, url = {https://par.nsf.gov/biblio/10350126}, DOI = {10.1145/3447818.3460358}, abstractNote = {}, journal = {ICS '21: Proceedings of the ACM International Conference on Supercomputing}, author = {Huang, Xuan and Klacansky, Pavol and Petruzza, Steve and Gyulassy, Attila and Bremer, Peer-Timo and Pascucci, Valerio}, }