Abstract: A memory device, includes a memory array for storing a plurality of vector data each of which has an MSB vector and a LSB vector. The memory array includes a plurality of memory units each of which has a first bit and a second bit. The first bit is used to store the MSB vector of each vector data, the second bit is used to store the LSB vector of each vector data. A bit line corresponding to each vector data executes one time of bit-line-setup, and reads the MSB vector and the LSB vector of each vector data according to the bit line. The threshold voltage distribution of each memory unit is divided into N states, where N is a positive integer and N is less than 2 to the power of 2, and the effective bit number stored by each memory unit is less than 2.

Abstract: An embodiment of the present disclosure discloses a memory device. The memory device comprises a memory controller, a buffer and a memory array. The buffer is coupled to the memory controller or embedded in the memory controller. A storage space of the buffer is configured by the memory controller to include a plurality of groups. The memory array is coupled to the memory controller, and comprising a plurality of tiles. The groups are one-to-one corresponding to the tiles. Each of the groups is configured to store data to be written into the corresponding tile. The memory controller performs one or more write operations based on the groups.

Abstract: The present disclosure provides a method for topography simulation of a physical structure under a topography-changing process. The method includes initializing a voxel mesh as a three-dimensional (3D) representation of the physical structure, generating a batch of particles, simulating a flight path of at least one of the particles with a ray-tracing method, identifying a voxel unit in the voxel mesh that intersects the flight path, determining a surface reaction between the one of the particles and the voxel unit, and adding an extra voxel unit adjacent to the voxel unit based on the determining of the surface reaction.

Abstract: The present disclosure provides a method for topography simulation of a physical structure under a topography-changing process. The method includes initializing a voxel mesh as a three-dimensional (3D) representation of the physical structure, generating a batch of particles, simulating a flight path of one of the particles with a ray-tracing method by a parallel processing thread in a hardware accelerator, identifying a surface normal of a voxel unit in the voxel mesh that intersects the flight path by the parallel processing thread, determining a surface reaction between the one of the particles and the voxel unit by a central processing unit (CPU), and updating the voxel mesh based on the determining of the surface reaction.

Abstract: A memory device, includes a memory array for storing a plurality of vector data each of which has an MSB vector and a LSB vector. The memory array includes a plurality of memory units each of which has a first bit and a second bit. The first bit is used to store the MSB vector of each vector data, the second bit is used to store the LSB vector of each vector data. Each vector data is executed with a multiplying-operation, the MSB vector and the LSB vector of each vector data is executed with a first group-counting operation and a second group-counting operation respectively. The threshold voltage distribution of each memory unit is divided into N states, where N is a positive integer and N is less than 2 to the power of 2, the effective bit number stored by each memory unit is less than 2.

Abstract: A memory device, includes a memory array for storing a plurality of vector data each of which has an MSB vector and a LSB vector. The memory array includes a plurality of memory units each of which has a first bit and a second bit. The first bit is used to store the MSB vector of each vector data, the second bit is used to store the LSB vector of each vector data. A bit line corresponding to each vector data executes one time of bit-line-setup, and reads the MSB vector and the LSB vector of each vector data according to the bit line. The threshold voltage distribution of each memory unit is divided into N states, where N is a positive integer and N is less than 2 to the power of 2, and the effective bit number stored by each memory unit is less than 2.

Abstract: A semiconductor package, a semiconductor device and a shielding housing for a semiconductor package are provided. The semiconductor package includes a semiconductor chip having a first region and a second region beside the first region; and a shielding housing encasing the semiconductor chip, made of a magnetic permeable material, and including a first shielding plate, a second shielding plate opposite to the first shielding plate and a shielding wall extending between the first shielding plate and the second shielding plate. The first shielding plate has an opening exposing the first region and includes a raised portion surrounding the opening and a flat portion beside the raised portion and shielding the second region. A first distance from a level of the semiconductor chip to an outer surface of the raised portion is greater than a second distance from the level to an outer surface of the flat portion.

Abstract: Disclosed is a memory device and an operation method thereof. The operation method of memory device, comprising: programming a plurality of sub-matrices including at least one of non-zero element of a rearranged matrix to a plurality of operation units of the memory device; and programming a mapping table into a working memory of a memory device. The rearranged matrix is generated by rearrange a plurality of columns and a plurality of rows of an original matrix according to the positions of a plurality of non-zero elements of the original matrix. The mapping table comprises a correspondence of row indexes between the original matrix and the rearranged matrix, a correspondence of column indexes between the original matrix and the rearranged matrix and a correspondence between the sub-matrices including at least one non-zero element and the operation units storing the sub-matrices including at least one non-zero element.

Abstract: An MRAM cell block and a magnetic shielding structure for the MRAM cell block are incorporated into a metal interconnect of an integrated circuit (IC) device. The magnetic shielding structure may be provided by metallization layers and via layers having wires and vias that incorporate a magnetic shielding material. The magnetic shielding material may form the wires and vias, form a liner around the wires, or may be a layer of the wires. The wires and vias may also include a metal that is more conductive than the magnetic shielding material. The metal interconnect may include layers above or below the magnetic shielding structure that lack the magnetic shielding material and are more conductive. The MRAM cell block with the magnetic shielding structure is optionally provided as a standalone memory device or incorporated into a 3-D IC device that includes a second substrate having a conventional metal interconnect.

Abstract: A semiconductor package, a semiconductor device and a shielding housing for a semiconductor package are provided. The semiconductor package includes a semiconductor chip having a first region and a second region beside the first region; and a shielding housing encasing the semiconductor chip, made of a magnetic permeable material, and including a first shielding plate, a second shielding plate opposite to the first shielding plate and a shielding wall extending between the first shielding plate and the second shielding plate. The first shielding plate has an opening exposing the first region and includes a raised portion surrounding the opening and a flat portion beside the raised portion and shielding the second region. A first distance from a level of the semiconductor chip to an outer surface of the raised portion is greater than a second distance from the level to an outer surface of the flat portion.

Abstract: A method for neural network computation using adaptive data representation, adapted for a processor to perform multiply-and-accumulate operations on a memory having a crossbar architecture, is provided. The memory comprises multiple input and output lines crossing each other, multiple cells respectively disposed at intersections of the input and output lines, and multiple sense amplifiers respectively connected to the output lines. In the method, an input cycle of kth bits respectively in an input data is adaptively divided into multiple sub-cycles, wherein a number of the divided sub-cycles is determined according to a value of k. The kth bits of the input data are inputted to the input lines with the sub-cycles and computation results of the output lines are sensed by the sense amplifiers. The computation results sensed in each sub-cycle are combined to obtain the output data corresponding to the kth bits of the input data.

Abstract: A memory device includes: a memory array used for implementing neural networks (NN); and a controller coupled to the memory array. The controller is configured for: in updating and writing unrewritable data into the memory array in a training phase, marching the unrewritable data into a buffer zone of the memory array; and in updating and writing rewritable data into the memory array in the training phase, marching the rewritable data by skipping the buffer zone.

Abstract: A memory device includes: a memory array used for implementing neural networks (NN), the NN including a plurality of layers; and a controller coupled to the memory array, the controller being configured for: determining a computation duration of a first data of a first layer of the plurality of layers; selecting a first program operation if the computation duration of the first data of the first layer is shorter than a threshold; and selecting a second program operation if the computation duration of the first data of the first layer is longer than the threshold, wherein the second program operation has a longer program pulse time than the first program operation.

Abstract: A semiconductor package, a semiconductor device and a shielding housing for a semiconductor package are provided. The semiconductor package includes a semiconductor chip having a first region and a second region beside the first region; and a shielding housing encasing the semiconductor chip, made of a magnetic permeable material, and including a first shielding plate, a second shielding plate opposite to the first shielding plate and a shielding wall extending between the first shielding plate and the second shielding plate. The first shielding plate has an opening exposing the first region and includes a raised portion surrounding the opening and a flat portion beside the raised portion and shielding the second region. A first distance from a level of the semiconductor chip to an outer surface of the raised portion is greater than a second distance from the level to an outer surface of the flat portion.

Abstract: A method for neural network computation using adaptive data representation, adapted for a processor to perform multiply-and-accumulate operations on a memory having a crossbar architecture, is provided. The memory comprises multiple input and output lines crossing each other, multiple cells respectively disposed at intersections of the input and output lines, and multiple sense amplifiers respectively connected to the output lines. In the method, an input cycle of kth bits respectively in an input data is adaptively divided into multiple sub-cycles, wherein a number of the divided sub-cycles is determined according to a value of k. The kth bits of the input data are inputted to the input lines with the sub-cycles and computation results of the output lines are sensed by the sense amplifiers. The computation results sensed in each sub-cycle are combined to obtain the output data corresponding to the kth bits of the input data.

Abstract: A magnetic device structure is provided. In some embodiments, the structure includes one or more first transistors, a magnetic device disposed over the one or more first transistors, a plurality of magnetic columns surrounding sides of the one or more first transistors and the magnetic device, a first magnetic layer disposed over the magnetic device and in contact with the plurality of magnetic columns, and a second magnetic layer disposed below the one or more first transistors and in contact with the plurality of magnetic columns.

Abstract: A method and an apparatus for neural network computation using adaptive data representation, adapted for a processor to perform multiply-and-accumulate operations on a memory having a crossbar architecture, are provided. The memory comprises multiple input and output lines crossing each other, multiple cells respectively disposed at intersections of the input and output lines, and multiple sense amplifiers respectively connected to the output lines. In the method, an input cycle of kth bits respectively in an input data is adaptively divided into multiple sub-cycles, wherein a number of the divided sub-cycles is determined according to a value of k. The kth bits of the input data are inputted to the input lines with the sub-cycles and computation results of the output lines are sensed by the sense amplifiers. The computation results sensed in each sub-cycle are combined to obtain the output data corresponding to the kth bits of the input data.

Abstract: A memory page management method is provided. The method includes receiving a state-change notification corresponding to a state-change page, and grouping the state-change page from a list to which the state-change page belongs into a keep list or an adaptive LRU list of an adaptive adjusting list according to the state-change notification; receiving an access command from a CPU to perform an access operation to target page data corresponding to a target page; determining that a cache hit state is a hit state or a miss state according to a target NVM page address corresponding to the target page, and grouping the target page into the adaptive LRU list according to the cache hit state; and searching the adaptive page list according to the target NVM page address to obtain a target DRAM page address to complete the access command corresponding to the target page data.

Abstract: A computing in memory method for a memory device is provided. The computing in memory method includes: based on a stride parameter, unfolding a kernel into a plurality of sub-kernels and a plurality of complement sub-kernels; based on the sub-kernels and the complement sub-kernels, writing a plurality of weights into a plurality of target memory cells of a memory array of the memory device; inputting an input data into a selected word line of the memory array; performing a stride operation in the memory array; temporarily storing a plurality of partial sums; and summing the stored partial sums into a stride operation result when all operation cycles are completed.

Abstract: Disclosed is a memory device and an operation method thereof. The operation method of memory device, comprising: programming a plurality of sub-matrices including at least one of non-zero element of a rearranged matrix to a plurality of operation units of the memory device; and programming a mapping table into a working memory of a memory device. The rearranged matrix is generated by rearrange a plurality of columns and a plurality of rows of an original matrix according to the positions of a plurality of non-zero elements of the original matrix. The mapping table comprises a correspondence of row indexes between the original matrix and the rearranged matrix, a correspondence of column indexes between the original matrix and the rearranged matrix and a correspondence between the sub-matrices including at least one non-zero element and the operation units storing the sub-matrices including at least one non-zero element.