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d2o: a distributed data object for parallel high-performance computing in Python

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Figure

Table 1 Strong scaling behavior: estimate vs. measurement
Table 4 Weak scaling: d2o’s relative performance to the single-process case when increas-ing both, the number of processes and the global array size proportionally
Table 5 Strong scaling: to  128 MiB4096, 4096)( =
Table 6 Strong scaling comparison: size to  128 MiB4096, 4096)( =
+3

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