The embodiments described herein methods and devices that enhance the endurance of a non-volatile memory (e.g., flash memory). The method includes obtaining, for each of the plurality of die, an endurance metric. The method also includes sorting the plurality of die into a plurality of die groups based on their corresponding endurance metrics, where each die group includes one or more die and each die group is associated with a range of endurance metrics. In response to a write command specifying a set of write data, the method further includes writing the write data to the non-volatile memory by writing in parallel subsets of the write data to the one or more die assigned to a single die group of the plurality of die groups.

Device and method for managing die groups

A method of operation of a storage control system includes: calculating a throttle threshold; identifying a detection point based on the throttle threshold; and calculating a number of write/erase cycles based on the detection point and the throttle threshold for writing a memory device.

Storage control system with data management mechanism and method of operation thereof

Various embodiments of the present invention provide systems and methods for variable iteration data processing.

Systems and methods for queue based data detection and decoding

Solid-state drives (SSDs) update data by writing a new copy, rather than overwriting old data, causing prior copies of the same data to be invalidated. These writes are performed in units of pages, while space is reclaimed in units of multipage erase blocks, necessitating copying of any remaining valid pages in the block before reclamation. The efficiency of this cleaning process greatly affects performance under random workloads; in particular, in SSDs, the write bottleneck is typically internal media throughput, and write amplificationdue to additional internal copying directly reduces application throughput.We present the first nearly-exact closed-form solution for write amplification under greedy cleaning for uniformly-distributed random traffic, validate its accuracy via simulation, and show that its inaccuracies are negligible for reasonable block sizes and overprovisioning ratios. In addition, we also present the first models which predict performance degradation for both LRW (least-recently-written) cleaning and greedy cleaning under simple nonuniform traffic conditions; simulation results show the first model to be exact and the second to be accurate within 2p. We extend the LRW model to arbitrary combinations of random traffic and demonstrate its use in predicting cleaning performance for real-world workloads.Using these analytic models, we examine the strategy of separating “hot” and “cold” data, showing that for our traffic model, such separation eliminates any loss in performance due to nonuniform traffic. We then show how a system which segregates hot and cold data into different block pools may shift free space between these pools in order to achieve improved performance, and how numeric methods may be used with our model to find the optimum operating point, which approaches a write amplification of 1.0 for increasingly skewed traffic. We examine online methods for achieving this optimal operating point and show a control strategy based on our model which achieves high performance for a number of real-world block traces.

Analytic Models of SSD Write Performance

Provided are a memory system and an operating method thereof. The operating method reads an observation memory cell at least one time with different read voltages to configure a first read data symbol, reads a plurality of interference memory cells adjacent to the observation memory cell at least one time with different read voltages to configure second read data symbols, and determines a logical value of the observation memory cell based on the first read data symbol and the second read data symbols.

Memory system and operating method thereof

An indication of a page type which failed error correction decoding is received. A threshold to adjust is selected from a plurality of thresholds based at least in part on the page type. A third adjusted threshold associated with the page type is generated, including by: determining a first number of flipped bits using a first adjusted threshold associated with the page type, determining a second number of flipped bits using a second adjusted threshold associated with the page type, and generating the third adjusted threshold using the first number of flipped bits and the second number of flipped bits.

Error recovery for flash memory

Inter-track interference cancelation is disclosed, including: receiving an input sequence of samples associated with a track on magnetic storage; using a processor to generate inter-track interference (ITI) data associated with a first side track including by performing a correlation between the input sequence of samples and a sequence of data associated with the first side track.

Inter-track interference cancelation for shingled magnetic recording

A set of one or more receiver parameters is adjusted. It is determined whether to adjust the set of receiver parameters. In the event it is determined to adjust the set of receiver parameters, a new set of values is generated for the set of receiver parameters using a cost function (where the cost function does not assume a noise signal in a receive signal to have a particular statistical distribution) and the set of receiver parameters is changed to have the new set of values.

Obtaining parameters for minimizing an error event probability

The log-structured filesystems typically used in current solid-state drive's (SSD) exhibit write amplification, whereby multiple NAND writes are required for each host write. Write amplification negatively affects the SSD endurance and write throughput. This performance loss depends on the drive over-provisioning and the garbage collection method. This paper presents a novel probabilistic model to analytically quantify the impact of over-provisioning on write amplification under a uniformly-distributed random workload and a greedy garbage collection policy. The analysis shows write amplification approximately independent of NAND block size and number of blocks in the SSD. The analysis is verified by full drive simulations.

http://ieeexplore.ieee.org/iel5/5687602/5700081/05700261.pdf

A closed-form expression for write amplification in NAND Flash

A target amplitude for an acquisition gain-loop is determined. A tracking gain-loop is configured to adjust a gain of the tracking gain-loop during a data portion of the received signal, wherein the received signal comprises an acquisition portion and the data portion. An acquisition gain-loop is configured to adjust a gain of the acquisition gain-loop during the acquisition portion of the received signal. A detector is configured to detect in the data portion an occurrence of a pattern identical to a portion of the acquisition portion. An amplitude estimation block is configured to compute an amplitude estimate based at least in part on the detected portion. A target amplitude updating block is configured to update the target amplitude based at least in part on the amplitude estimate.

Controlling preamble target amplitude

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