A voltage identifying method, a memory controlling circuit unit, and a memory storage device are provided. The method includes: reading a plurality of first memory cells according to a first read voltage group in a plurality of read voltage groups and performing a first decoding operation to generate first verification information; identifying a plurality of second read voltage groups in the plurality of read voltage groups corresponding to a first interval in a plurality of intervals according to the first interval in which the first verification information is located; and reading the plurality of first memory cells by using a third read voltage group in the plurality of second read voltage groups and performing the first decoding operation.

A predictive model utilizes a set of coefficients for processing received input data. To reduce memory usage storing the coefficients, a compression circuit compresses the set of coefficients prior to storage by generating a cumulative count distribution of the coefficient values, and identifying a distribution function approximating the cumulative count distribution. Function parameters for the determined function are stored in a memory and used by a decompression circuit to apply the function the compressed coefficients to determine the decompressed component values. Storing the function parameters may consume less memory in comparison to storing a look-up table for decompression, and may reduce an amount of memory look-ups required during decompression.

A voltage identifying method, a memory controlling circuit unit, and a memory storage device are provided. The method includes: reading a plurality of first memory cells according to a first read voltage group in a plurality of read voltage groups and performing a first decoding operation to generate first verification information; identifying a plurality of second read voltage groups in the plurality of read voltage groups corresponding to a first interval in a plurality of intervals according to the first interval in which the first verification information is located; and reading the plurality of first memory cells by using a third read voltage group in the plurality of second read voltage groups and performing the first decoding operation.

Examples herein relate to decoding tokens using speculative decoding operations to decode tokens at an offset from a token decoded by a sequential decoding operation. At a checkpoint, a determination is made as to whether tokens to be decoded by the sequential and speculative decoding operations align. If there is alignment, the speculatively decoded tokens after a discard window are committed and made available for access. If there is not alignment, the speculatively decoded tokens are discarded. A miss in alignment and a fullness level of a buffer that stores speculatively decoded tokens are assessed to determine a next offset level for a start of speculative decoding. A size of a discard window can be set using a relationship based on the offset level to improve buffer utilization and to attempt to improve changes of alignments.

A binary arithmetic device includes an LPS/MPS determining unit that determines, using a context variable, a range length, and an offset, whether a code is an inferior probability code or a superior probability code, a renormalization processing unit that performs renormalization processing on the range length and the offset, and a context-variable calculating unit that derives the binary data of the code using a determination result and updates the context variable according to the determination result. The renormalization processing unit 15 includes a first renormalizing unit and a second renormalizing unit and a selecting unit that selects, according to the determination result, an output of the first renormalizing unit or an output of the second renormalizing unit.

The application provides an operation method and device. Quantized data is looked up to realize an operation, which simplifies the structure and reduces the computation energy consumption of the data, meanwhile, a plurality of operations are realized.

A predictive model utilizes a set of coefficients for processing received input data. To reduce memory usage storing the coefficients, a compression circuit compresses the set of coefficients prior to storage by generating a cumulative count distribution of the coefficient values, and identifying a distribution function approximating the cumulative count distribution. Function parameters for the determined function are stored in a memory and used by a decompression circuit to apply the function the compressed coefficients to determine the decompressed component values. Storing the function parameters may consume less memory in comparison to storing a look-up table for decompression, and may reduce an amount of memory look-ups required during decompression.

A method for providing codewords, the method may include receiving by an input buffer, one or more chunks of data; calculating a location of relevant bits within one or more chunks of data; wherein the relevant bits comprise (a) variable length retrieval information used during a retrieval process of a first type codeword, or (b) a second type codeword; performing the retrieval process of the first type codeword and retrieving the first type codeword from a memory unit that stores only a fraction of a codebook, the codebook comprises first type codewords and second type codewords; determining whether the relevant bits comprises the second type codeword or not; and outputting the second type codeword or the first type codeword, based on the determination.

A predictive model utilizes a set of coefficients for processing received input data. To reduce memory usage storing the coefficients, a compression circuit compresses the set of coefficients prior to storage by generating a cumulative count distribution of the coefficient values, and identifying a distribution function approximating the cumulative count distribution. Function parameters for the determined function are stored in a memory and used by a decompression circuit to apply the function the compressed coefficients to determine the decompressed component values. Storing the function parameters may consume less memory in comparison to storing a look-up table for decompression, and may reduce an amount of memory look-ups required during decompression.

The application provides an operation method and device. Quantized data is looked up to realize an operation, which simplifies the structure and reduces the computation energy consumption of the data, meanwhile, a plurality of operations are realized.