Pipelining Vector-Based Statistical Functions for In-Memory Analytics
Columnar data handling accelerates time series analysis (including market data analysis) by maximizing the proportion of relevant data brought into the CPU cache with each fetch. As explained in this white paper, McObject’s eXtremeDB Financial Edition delivers columnar data handling, and builds on it with pipelining technology that enables multiple vector-based statistical functions to work on a given data sequence (time series) within the CPU cache, without the need to “materialize” interim results as output in main memory. This eliminates the latency caused by back-and-forth transfers between CPU cache and memory.
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