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Modern cosmology and plasma physics codes are now capable of simulating trillions of particles on petascale systems. Each timestep output from such simulations is on the order of 10s of TBs. Summarizing and analyzing raw particle data is challenging, and scientists often focus on density structures, whether in the real 3D space, or a high-dimensional phase space. In this work, we develop a highly scalable version of the clustering algorithm DBSCAN, and apply it to the largest datasets produced
doi:10.1145/2807591.2807616
dblp:conf/sc/PatwaryBSSLRAYP15
fatcat:xyxhtzg22bex5nch6aa5fbbo7u