This specification provides embodiments of a distributed
system computing node, a data loading method for a learning model, and a corresponding
system. The data loading method for the
machine learning model includes: determining the
data access sequence for each iteration of the
machine learning model; in a first
processing step, preloading sample data corresponding to the
data access sequence of each iteration into a cache
pool according to the order of the iterations; in a second
processing step, reading the corresponding sample data from the cache
pool according to the order of the iterations; wherein the first and second
processing steps are executed in parallel; and in a third processing step, inputting the sample data into the
machine learning model for iterative training according to the order of the iterations; wherein the third processing step is executed in parallel with the second processing step.