Abstract: A Peripheral Component Interconnect express (PCIe) fault auto-repair method is provided. According to the method, when a PCIe link in a system runs, an operation state of the system is monitored by acquiring a Correctable Error (CE) error count and an Uncorrectable Error (UCE) error count in the PCIe link; when the CE error count reaches a corresponding error threshold value, or the UCE error count reaches a corresponding error threshold value, an error device is removed from the system to avoid continuous adverse influence of the error device on operation of the system. Moreover, an SI parameter register of the error device is modified according to pre-stored optimization parameters of all PCIe devices in a server, the SI parameter of the error device is automatically optimized, and the error device is re-accessed to the system after the PCIe fault repair.

Abstract: A key name generation method includes constructing a member structure library according to a set data structure template and member categories contained in various types of components, wherein the member structure library contains member structure information corresponding to each member category; upon acquiring a reading instruction for data, retrieving, from the member structure library on the basis of a data identifier carried in the reading instruction for the data, target member structure information matching the data identifier; and determining, on the basis of the target member structure information and a structure array identifier contained therein, key description information corresponding to the target member structure information, and taking the key description information as a key name of the data. A key name generation apparatus and a medium are also disclosed herein.

Abstract: If a resource of a PCI device needs to be designated and allocated with a fixed address range and a designated and allocated address is not within a preset address interval range, a resource address of the PCI device is merely allocated according to the designated and allocated address thereof; and when resource address information of a parent device PCI bridge of the PCI device is calculated, the resource address information of the parent device PCI bridge of the PCI device is calculated merely according to another child device, other than this PCI child device, of the parent device PCI bridge, rather than taking the designated and allocated fixed address range of the PCI device into consideration, so as to prevent a length error of a resource allocation address of the parent device PCI bridge resulting in a serious system error.

Abstract: The present application discloses a task status updating method including: listening for K8S events by using a K8S event listener to obtain a Pod status change event, and generating a Pod status update event based on the Pod status change event (S12); listening for the Pod status update event by using a Pod status change event listener, determining a Pod status corresponding to the Pod status update event as a Pod status of a corresponding target task in the deep learning platform when the Pod status update event is listened out, and generating a task status update event (S13); and listening for the task status update event by using a task status change event listener, and updating a current status of the target task as the Pod status of the target task when the task status update event is listened out (S14).

Abstract: The present disclosure discloses an encoding and decoding method, apparatus and device based on an erasure pool, and a computer readable storage medium. The method includes: storing, upon receiving original data that needs to be subjected to data encoding and decoding, the original data into a shared memory; sending an encoding and decoding signal to an encoding and decoding process, so that the encoding and decoding process obtains the original data from the shared memory after receiving the encoding and decoding signal, and calls a hard codec plug-in to perform a hard encoding and decoding operation; controlling, if the hard encoding and decoding operation fails, the encoding and decoding process to call a soft codec plug-in to perform a soft encoding and decoding operation; and obtaining, after the encoding and decoding process completes the encoding and decoding operation, an encoding and decoding result from the shared memory.

Abstract: The disclosure discloses a lighting method based on an Advanced Micro Device (AMD) platform, including the following steps: transmitting, by a Central Processing Unit (CPU), packets in groups to a Non-Volatile Memory Express (NVME) hard disk management system to acquire status information of an NVME hard disk; transmitting, by the CPU, the acquired status information to a Complex Programmable Logic Device (CPLD) backplane through a Baseboard Management Controller (BMC); and in response to receiving the status information, lighting, by the CPLD backplane, a lamp corresponding to an error lamp number based on the status information. The disclosure further discloses a lighting apparatus based on an AMD platform, a computer device, and a readable storage medium.

Abstract: Please amend the abstract of the specification as follows: Disclosed is a method for configuring an MMIOH base address of a server system. The method includes: when the server system is performing a power-on self-test, detecting a total capacity of all memories in the server system, and determining a minimum MMIOH base address of the server system according to an MMIO specification and the total capacity; if a target MMIOH base address range corresponding to a target PCIE device configured in the server system might be calculated according to a whitelist, and the minimum MMIOH base address is within the target MMIOH base address range, determining that the base address is the MMIOH base address of the server system, and storing the base address in a BIOS of the server system.

Abstract: The present disclosure discloses a server management framework and a server. The server management framework includes: a management board, wherein the management board comprises a baseboard management controller, a platform controller hub, and a management board complex programming logic device (CPLD), and a first end of the management board CPLD is connected to the platform controller hub; and a motherboard, wherein the motherboard comprises a central processing unit and a motherboard CPLD, a first end of the motherboard CPLD is connected to the central processing unit, and a second end of the motherboard CPLD is connected to a second end of the management board CPLD, so that the baseboard management controller communicates with the management board CPLD through the motherboard CPLD, and the platform controller hub communicates with the baseboard management controller through the motherboard CPLD and the management board CPLD.

Abstract: Provided is a takeover method for cache partition recovery, including: determining whether a cluster has a four-controller topology, and when having the four-controller topology, setting a four-controller topology flag for each cache partition of the cluster; in response to monitoring that the cluster is changed to a cluster having a dual-controller topology and including a first node and a second node, determining whether a third node and a fourth node that exit the cluster belong to a same sub-cluster, and when belonging to the same sub-cluster, further determining whether cache partitions of the sub-cluster are set with the four-controller topology flag; and when set with the four-controller topology flag, further determining whether the sub-cluster is in a single-partition mode or dual-partition mode, and respectively taking over, by the first node and the second node, the third node and the fourth node based on the single-partition mode or dual-partition mode.

Abstract: The present application discloses an electronic device and a connection module therefor. The connection module includes a first connection piece and a second connection piece; side walls of the first connection piece is each provided with notches and a limiting end which are connected to each other and are arranged at an angle; the second connection piece is provided with limiting pieces adapted to be placed at the limiting ends by means of the notches; one of the first connection piece and the second connection piece is provided with a retractable positioning assembly, and the side walls of the other are provided with positioning holes fastening the retractable positioning assembly, so that when the limiting pieces are placed at the limiting ends, the retractable positioning assembly is fastened in the positioning holes.

Abstract: A method for processing data overflow in a decompression process, includes: decompressing an original text, and detecting whether a data overflow event occurs in the decompression process; in response to detecting the data overflow event, storing first data obtained by decompression in a host cache into a target memory, and closing a data read-in port of a decoding engine; decompressing data which is being decompressed in the decoding engine to obtain second data, and storing the second data into a cache of the decoding engine; calculating a position of the decompressed data in the original text; obtaining, on the basis of the position, data which is not decompressed in the original text, re-decompressing the data which is not decompressed to obtain third data, and storing the second data into the target memory; and splicing the first data, the second data, and the third data to obtain complete decompressed data.

Abstract: Provided are a classification model training method, system, electronic device, and storage medium. The method includes: determining sampling rates of first-class samples and second-class samples in a data set, and setting the samples with a sampling rate less than a preset value as target samples (S101); determining data distribution feature information of the target samples based on Euclidean distances between all the samples in the data set (S102); wherein the data distribution feature information is information describing the number of same-class samples in nearest neighbor samples, and the nearest neighbor samples are two samples at a Euclidean distance less than a preset distance; generating new samples corresponding to the target samples based on the data distribution feature information (S103); and training the classification model using the first-class samples, the second-class samples and the new samples (S104).

Abstract: Provided are a proxy end registration method, a proxy end registration system, a computer-readable memory medium, and a terminal. The method includes: receiving, by a management end, heartbeat information sent by a proxy end, and determining whether a management end database contains a UUID in the heartbeat information, wherein the heartbeat information is generated according to a MAC address of the proxy end and timestamp information; if not, determining whether a first hash counter in the heartbeat information is 0, the first hash counter being used for indicating a heartbeat IP transformation state of the heartbeat information; if the first hash counter is not 0, notifying the proxy end of the need to re-register; or if the first hash counter is 0, allowing the proxy end to register.