Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M
Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M
The Dynamic Distributed Dimensional Data Model (D4M) library implements associative arrays in a variety of languages (Python, Julia, and Matlab/Octave) and provides a lightweight in-memory database implementation of hypersparse arrays that are ideal for analyzing many types of network data. D4M relies on associative arrays which combine properties of spreadsheets, …