Abstract: A memory system or flash card may include an algorithm for identifying and accounting for the rewrite frequency of data to be written to the card. The file system partition or file type of data may be used for monitoring rewrite frequency and predicting future rewrites. A learning algorithm that monitors rewrites may be implemented in firmware for accurate and dynamic identification of file types/partitions with the most likely rewrites. The identification of rewrites may be used to sort the data into groups (e.g. hot data=likely rewritten, and cold data=not likely to be rewritten). The hot data may stay in single level cell (SLC) update blocks longer, while the cold data can be moved to MLC blocks sooner.

Abstract: Systems and method for performing intelligent flash management are disclosed. A controller may determine if a write pattern exists between a set of writes associated with a first data chunk and a set of writes associated with a second data chunk based on whether a number of writes for first data chunk is equal to a number of writes for second data chunk; a degree to which a sequence of logical block address for the first data chunk matches the sequence of logical block addresses for the second data chunk; and a degree to which a size of each write for the first data chunk matches a size of each write for the second data chunk. The controller may then perform storage management operations based on whether or not a write pattern exists.

Abstract: A method for optimizing a boot up sequence includes, during a host idle time or during data transfer: obtaining a predicted read address from the a prediction table, prefetching from the non-volatile data store, and saving the prefetched data in memory. Also included is receiving a current read command issued by the host and if the read address matches the predicted read address, providing to the host the prefetched data saved in temporary memory, and indicating a match. If a match is not indicated, obtaining current data from the non-volatile data store corresponding to the read address of the current read command, and providing the current data to the host. If a match was not indicated, searching the data prediction table for the predicted read address that matches the read address corresponding to the current read command, and if found in the data prediction table, recording the offset value.

Abstract: A memory system or flash card may include an algorithm for identifying and accounting for the rewrite frequency of data to be written to the card. The file system partition or file type of data may be used for monitoring rewrite frequency and predicting future rewrites. A learning algorithm that monitors rewrites may be implemented in firmware for accurate and dynamic identification of file types/partitions with the most likely rewrites. The identification of rewrites may be used to sort the data into groups (e.g. hot data=likely rewritten, and cold data=not likely to be rewritten). The hot data may stay in single level cell (SLC) update blocks longer, while the cold data can be moved to MLC blocks sooner.

Abstract: A method for optimizing a boot up sequence includes, during a host idle time or during data transfer: obtaining a predicted read address from the a prediction table, prefetching from the non-volatile data store, and saving the prefetched data in memory. Also included is receiving a current read command issued by the host and if the read address matches the predicted read address, providing to the host the prefetched data saved in temporary memory, and indicating a match. If a match is not indicated, obtaining current data from the non-volatile data store corresponding to the read address of the current read command, and providing the current data to the host. If a match was not indicated, searching the data prediction table for the predicted read address that matches the read address corresponding to the current read command, and if found in the data prediction table, recording the offset value.

Abstract: Systems and method for performing intelligent flash management are disclosed. A controller may determine if a write pattern exists between a set of writes associated with a first data chunk and a set of writes associated with a second data chunk based on whether a number of writes for first data chunk is equal to a number of writes for second data chunk; a degree to which a sequence of logical block address for the first data chunk matches the sequence of logical block addresses for the second data chunk; and a degree to which a size of each write for the first data chunk matches a size of each write for the second data chunk. The controller may then perform storage management operations based on whether or not a write pattern exists.