210 results about "Data striping" patented technology

A flash module has raw-NAND flash memory chips accessed over a physical-block address (PBA) bus by a NVM controller. The NVM controller is on the flash module or on a system board for a solid-state disk (SSD). The NVM controller converts logical block addresses (LBA) to physical block addresses (PBA). Data striping and interleaving among multiple channels of the flash modules is controlled at a high level by a smart storage transaction manager, while further interleaving and remapping within a channel may be performed by the NVM controllers. A SDRAM buffer is used by a smart storage switch to cache host data before writing to flash memory. A Q-R pointer table stores quotients and remainders of division of the host address. The remainder points to a location of the host data in the SDRAM. A command queue stores Q, R for host commands.

A solid-state disk (SSD) has a smart storage switch with a smart storage transaction manager that re-orders host commands for accessing downstream single-chip flash-memory devices. Each single-chip flash-memory device has a lower-level controller that converts logical block addresses (LBA) to physical block addresses (PBA) that access flash memory blocks in the single-chip flash-memory device. Wear-leveling and bad block remapping are preformed by each single-chip flash-memory device, and at a higher level by a virtual storage processor in the smart storage switch. Virtual storage bridges between the smart storage transaction manager and the single-chip flash-memory devices bridge LBA transactions over LBA buses to the single-chip flash-memory devices. Data striping and interleaving among multiple channels of the single-chip flash-memory device is controlled at a high level by the smart storage transaction manager, while further interleaving and remapping may be performed within each single-chip flash-memory device.

One exemplary method comprises a method for grouping a plurality of data elements of a dataset. The method includes clustering the dataset into a plurality of clusters with each of the plurality of clusters including at least one of the plurality of data elements. The method further includes iteratively classifying the plurality of clusters into a plurality of classes of like data elements.