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Efficient Dynamic Clustering: Capturing Patterns from Historical Cluster Evolution
After training, the DynamicC model is usedin cooperation with the batch algorithm to achieve both accurate and fast clustering decisions.
Predict and Write: Using K-Means Clustering to Extend the Lifetime of NVM Storage
We show that, by choosing the right target memory location for a given PUT/UPDATE operation, the number of total bit flips and cache lines can be reduced by up to 85% and 56% over the state of the art.
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