Abstract: A method for managing a shared memory, including: setting a master core, applying, by the master core, to a system for idle hugepage blocks, mapping the idle hugepage blocks to a virtual address space of the master core, and sorting the hugepage blocks in an ascending order of physical address size of the hugepage blocks; dividing, depending on whether the physical addresses are continuous, the hugepage blocks sorted into segments; in response to determining that there are segments satisfying the memory demand of the subsystem, sorting the segments satisfying the memory demand of the subsystem in a descending order of lengths thereof, and remapping the sorted segments to obtain segments having both continuous virtual addresses and continuous real addresses; and in response to determine that there is a segment satisfying the memory demand of the system, releasing hugepage blocks other than the segment satisfying the memory demand of the system.

Abstract: Disclosed are a data processing method and apparatus based on an optical neural network, a computer-readable storage medium, and an optical neural network.

Abstract: A test method and a multi-processor SOC chip are provided. The method includes: parsing a first command line in a host system input buffer by a host system to obtain a first command and a first parameter corresponding to the first command line, when the first command is a command of the host system in a host system command set, executing the first command by the host system, and when the first command is a command corresponding to a subsystem, sending, by the host system, the first parameter to a subsystem input buffer corresponding to the subsystem as a second command line; and parsing the second command line by a subsystem to obtain a second command and a second parameter corresponding to the second command line, and when the second command is a command in a subsystem command set of the subsystem, executing the second command by the subsystem.

Abstract: A method for realizing a Hadamard product, a device and a storage medium, includes: acquiring a plurality of to-be-treated optical signals with unequal wavelengths (S101); inputting the to-be-treated optical signals into a wavelength division multiplexer (S102); by using the wavelength division multiplexer, feeding the to-be-treated optical signals to a micro-ring-resonator component, wherein the micro-ring-resonator component includes a plurality of micro-ring-resonator groups each of which is formed by two micro-ring resonators with equal radii (S103); and applying a corresponding electric current to the micro-ring-resonator component, to obtain a result of the Hadamard product according to an outputted light intensity (S104).

Abstract: A method for realizing a Hadamard product, a device and a storage medium, includes: acquiring a plurality of to-be-treated optical signals with unequal wavelengths; inputting the to-be-treated optical signals into a wavelength division multiplexer; by using the wavelength division multiplexer, feeding the to-be-treated optical signals to a micro-ring-resonator component, wherein the micro-ring-resonator component includes a plurality of micro-ring-resonator groups each of which is formed by two micro-ring resonators with equal radii; and applying a corresponding electric current to the micro-ring-resonator component, to obtain a result of the Hadamard product according to an outputted light intensity.

Abstract: The method includes: acquiring a plurality of to-be-treated optical signals with unequal wavelengths; inputting the to-be-treated optical signals into a micro-ring-resonator array, wherein the micro-ring-resonator array includes a plurality of micro-ring resonators that are connected in series; applying a corresponding electric current to the micro-ring-resonator array, to adjust a transfer function of each of the micro-ring resonators to reach a target value; and feeding an optical signal outputted by the micro-ring-resonator array into a photodiode, to obtain an operation result of the average pooling of the neural network.

Abstract: A connection analysis method for a multi-port nested model and a medium. The method includes: acquiring instance information and nested relationships of a multi-port nested model, and building an instance relationship tree; reading port information and connection information of instances, and adding the port information and the connection information to the instance relationship tree; acquiring the port information and the connection information of the instances of each node layer by layer according to the instance relationship tree to build a connection dictionary; and acquiring port-to-port connection information of the instances by retrieving the connection dictionary to perform connection analysis on the multi-port nested model.

Abstract: A method for managing a shared memory, including: setting a master core, applying, by the master core, to a system for idle hugepage blocks, mapping the idle hugepage blocks to a virtual address space of the master core, and sorting the hugepage blocks in an ascending order of physical address size of the hugepage blocks; dividing, depending on whether the physical addresses are continuous, the hugepage blocks sorted into segments; in response to determining that there are segments satisfying the memory demand of the subsystem, sorting the segments satisfying the memory demand of the subsystem in a descending order of lengths thereof, and remapping the sorted segments to obtain segments having both continuous virtual addresses and continuous real addresses; and in response to determine that there is a segment satisfying the memory demand of the system, releasing hugepage blocks other than the segment satisfying the memory demand of the system.

Abstract: The present disclosure discloses a method and a system for performing check recovery based on Gaussian elimination, a apparatus, and a storage medium. The method includes: a disk array by using normal data blocks and normal check blocks is constructed, a first reference matrix constructed by using coding matrix rows corresponding to the normal data blocks and the normal check blocks is converted into an inverse matrix through Gaussian elimination; it is determined that coding matrix rows corresponding to a predetermined quantity of blocks, and a second reference matrix is constructed by using the coding matrix rows, the abnormal data blocks, and the abnormal check blocks; and the inverse matrix and the second reference matrix are multiplied to obtain a first matrix, the first matrix and the disk array are multiplied to obtain an output matrix, and original data are obtained according to the output matrix.

Abstract: A connection analysis method for a multi-port nested model and a medium. The method includes: acquiring instance information and nested relationships of a multi-port nested model, and building an instance relationship tree; reading port information and connection information of instances, and adding the port information and the connection information to the instance relationship tree; acquiring the port information and the connection information of the instances of each node layer by layer according to the instance relationship tree to build a connection dictionary; and acquiring port-to-port connection information of the instances by retrieving the connection dictionary to perform connection analysis on the multi-port nested model.