Huawei Technologies Co., Limited

Hao Ding

Lin Li

Shaobo Zhang

Wenlin Zhang

Lihua Huang

Chang Jin Zhou

Lixin Sun

Weijie Wang

Jincheng Wang

Guangbin Meng

Jianbao Zhang

Kang Yang

Dengcheng Zhang

Aoxiang Fan

A memory allocation method for a neural network includes determining information about N memory blocks, sorting the N memory blocks in descending order based on sizes of the N memory blocks, allocating a first memory block to the neural network, to perform an operation for a first node set in the neural network, determining whether a memory block in an allocated set is reusable for an nth memory block, where the allocated set includes a memory block that has been allocated to the neural network, if the memory block in the allocated set is reusable for the nth memory block, allocating, to the neural network, the memory block to perform an operation for an nth node set in the neural network, then updating the allocated set, and sequentially performing the foregoing determining from n=2 to n=N based on the sort sequence.

Memory allocation method and apparatus for neural network

A method includes obtaining an operator parameter and a processor parameter corresponding to an operator operation, creating N scheduling policies based on the operator parameter and the processor parameter, where the N scheduling policies are classified into M scheduling policy subsets, and each scheduling policy subset includes at least one scheduling policy, filtering the M scheduling policy subsets based on the operator parameter and the processor parameter, to obtain K feasible scheduling policies, where the K feasible scheduling policies are optimal scheduling policies of K feasible scheduling subsets in the M scheduling policy subsets, inputting the operator parameter and the K feasible scheduling policies into a cost model to obtain K operator operation costs, wherein N, M, and K are natural numbers, and determining, based on a target requirement and the K operator operation costs, an optimal scheduling policy used for the operator operation.

Operator operation scheduling method and apparatus to determine an optimal scheduling policy for an operator operation

The present invention discloses a method for backup of Home Location Register (HLR), comprising: configuring a universal HLR as a disaster recovery center HLR which is to backup many HLRs, establishing network connection and loading user data to disaster recovery center through uniform text files; during operating, each active HLR will synchronize the user's data to the disaster recovery center; and a signaling will be forwarded to disaster recovery center to process after active HLR fails. So the present invention can realize service backup compatibility with equipment by different manufacturers, decrease cost, and be realized and managed easily, therefore the present invention has solved problems of characteristic service data backup in different HLRs.

Method of setting backup of home location register

A Gateway Home Location Register (GHLR) includes a signaling transceiving module, a security rule configuration module, and a routing information security analysis module. A method of exchanging roaming subscriber routing information includes the following steps: the GHLR in the home network receives an information request and determines the request according to the security rules in GHLR; if the request is according to the security rules in GHLR, GHLR sends called information to the network element capable of fetching subscriber routing information in the visited network. Through introducing a roaming subscriber information security control method and a device GHLR, this invention can solve the problem of exchanging roaming subscriber information between networks, support the visited network to provide service for the roaming subscribers in it, and protect security of the home operator and subscriber information.

Gateway home location register and method of exchanging subscriber routing information using the same

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Shenzhen, China

Hao Ding