Multi-instance recurrent neural network prediction
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United States of America
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Dec 24, 2024
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Jun 18, 2020
app pub date -
Dec 14, 2018
filing date -
Dec 14, 2018
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Abstract
A computer processing system having a first memory with a first set of memory pages resident therein and a second memory coupled to the first memory. A resource tracker provides information to instances of a long short-term memory (LSTM) recurrent neural network (RNN). A predictor identifies memory pages from the first set of memory pages for prediction by the one or more LSTM RNN instances. The system groups the memory pages of the identified plurality of memory pages into a number of patterns based on a number of memory accesses per time. An LSTM RNN instance predicts a number of page accesses for each pattern. A second set of memory pages is selected for moving from the first memory to the second memory.
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