102 results about "Adapter (computing)" patented technology

The invention relates to the technical field of block chain smart contracts, and provides a smart contract automatic execution system and method based on a block chain technology. In order to solve the problems that in the prior art, out-of-chain event verification is fragile, cross-contract atomicity is lacked, and resource management and control are insufficient, the system comprises a multi-mode under-chain event verification module, and a tamper-proof data channel is established through an Internet of Things hardware anchor point and an anti-collusion oracle; the autonomous execution engine is integrated with a resource awareness scheduler and an out-of-chain computing adapter; the transaction atomicity guarantee module is used for realizing cross-contract rollback by adopting a global snapshot tree and an intelligent compensation contract; the governance arbitration interface supports anonymous dispute resolution. The method comprises the steps of out-of-chain event multi-level verification, voucher execution queue management and sandbox resource isolation control. Credible collaboration inside and outside the chain is realized, the execution reliability is improved by more than 90%, and the contract development cost is reduced by 40%.

The invention relates to the technical field of electric power design, and discloses an electric power design agent intelligent processing system based on an AI large model, which comprises an interface interaction module, a professional model module, a dialogue management module and a professional algorithm module. The interface interaction module orderly calls idle modules according to the instruction sequence; the professional model module periodically retrieves multi-source data, constructs a professional data set through dynamic denoising, secondary classification processing and verification, generates a fine tuning data set through various knowledge distillation modes, and optimizes an industry large model by adopting a low-rank adapter; the dialogue management module is connected with input and output and instruction generation; and the professional algorithm module dynamically calls five types of professional models and adapts to computing power resources. According to the system, a traditional tool data island is broken through, the problems of general LLM professional shortages and'illusion 'are solved, automatic closed loop from natural language interaction to professional design tasks is achieved, manual dependence and error risks are reduced, and power design efficiency, quality and system stability are improved.

Systems, methods, and apparatuses disclosed herein can enable a computing system to connect to a network. These systems, methods, and apparatuses can connect the computing system to the network through multiple network connections. These multiple network connections represent distinct, physically separate signal pathways to improve security. This physical separation, or isolation, from one another creates distinct boundaries between these multiple network connections, for example, to minimize shared resources these systems, methods, and apparatuses. These distinct boundaries can reduce the vulnerability of these systems, methods, and apparatuses to, for example, attacks that exploit shared sources among these systems, methods, and apparatuses, data leakage within these systems, methods, and apparatuses, and / or unauthorized access to these systems, methods, and apparatuses. Moreover, these distinct boundaries can additionally enhance security by improving fault isolation, enforcing access control, and / or supporting secure communication protocols, among others, within these systems, methods, and apparatuses.

An instruction executing within a computing environment is used to perform at least one operation on one or more controls of a queue to be used in communications between a control program executing within the computing environment and an adapter module of the computing environment. Execution of the instruction includes obtaining an indication of the queue for which at least one operation is to be performed on the one or more controls of the queue. At least one operation is performed on the one or more controls of the queue and a result of executing the instruction is provided.

A control program executing on a computing device of a computing environment transmits control request information to an adapter module executing within the computing environment. The transmitting uses a control plane transmit queue of a set of queues. The control plane transmit queue identifies a location to store the control request information to be retrieved by the adapter module. The control program receives from the adapter module an indication of another location storing control reply information replying to the control request information. The indication is obtained from a control plane receive queue of the set of queues. The control program retrieves from the another location the control reply information and performs processing based on the control reply information.

The invention relates to the technical field of data security and privacy computing, in particular to an ODRL-based trusted data space data delivery method and system, and the method comprises the following steps: defining data use permission and constraint through an ODRL strategy, verifying a user request by a control plane based on the ODRL strategy, and recording a structured log by a data plane through a protocol adapter factory; the method has the beneficial effects that through layered architecture design, ODRL deep integration, protocol irrelevant adaptation and full-link security auditing, the core problems of an existing data delivery scheme in the aspects of authority management, transmission flexibility, performance and compliance are systematically solved, and a universal and highly reliable technical solution is provided for trusted data space construction; and the data circulation efficiency and security are remarkably improved, and the method has wide industrial application value.

An identifier, such as a worldwide name, corresponding to a host computing device, or corresponding to a host bus adapter corresponding to the host computing device, may be transmitted to a storage array to configure the storage array to be accessed by the host computing device. The host may request a token from the array. The host may embed the token into a token block of a command message that is transmitted to the storage array requesting access to the array. Before performing an action corresponding to the command message, the storage array may verify that the token is a valid token and thus that the host computing device that transmitted the command message is a host computing device that has been authorized to access the storage array. If the storage array determines that the token is valid the storage array may perform an action corresponding to the command message.

This invention discloses a non-embedded UAV information acquisition device and method. The non-embedded UAV information acquisition device includes a shell assembly, a three-mode adapter structure, a standardized physical interface, a main control module, a communication module, a positioning and sensing module, and a power management module. The internal cavity wall of the shell assembly is fitted with an anti-magnetic shielding layer made of permalloy. The three-mode adapter structure is integrated into the bottom of the shell assembly and includes a magnetic suction component, a suspension component, and a screw fixing interface. The standardized physical interface is located on the surface of the shell assembly and uses a gold-plated gold finger contact structure, which is electrically connected to the main control module. This invention enables deployment without disassembly of the UAV through a non-intrusive design while maintaining the UAV's airworthiness. It utilizes edge computing to alleviate cloud scheduling pressure and reduce task latency, and with independent power supply, achieves long endurance and high reliability, making it widely adaptable to various UAV models and harsh operating environments.

The application belongs to the technical field of collaborative learning, and particularly relates to a parameter efficient collaborative learning method and system suitable for intelligent sensing devices. The application is directed to a collaborative application scene of multiple distributed terminal devices with sensing, computing and communication capabilities. Under the premise of freezing backbone parameters, a shared adapter and a personalized adapter are introduced. Personalized parameters are only updated and saved locally to maintain single-device adaptation capability. Shared parameters realize knowledge sharing through interaction and weighted aggregation of neighboring devices. An adaptive weight matrix is used to fuse shared prediction and personalized prediction, so that global collaboration and personalized adaptation are considered in the distributed sensing scene with significant data distribution difference. Meanwhile, only the lightweight trainable part is updated and exchanged, which significantly reduces the end-side computing burden and communication overhead, and maintains the efficiency and convergence stability of collaborative learning under resource-limited conditions.

Techniques discussed herein relate to monitoring and / or detecting destabilization events of a host machine of a cloud computing environment. At least some of these destabilization events can be associated with a converged network adaptor of the host machine. The converged network adaptor may include a combination of functionality of a host network interface card (NIC) and functionality associated with a smart adaptor (e.g., a smart NIC). The smart adaptor may be configured to use at the host machine. A converged infrastructure management service may monitor operational data associated with the host machine to identify destabilization events that may be associated with the converged network adaptor. One or more remedial actions may be identified based at least in part on identifying these destabilizing events.

This application discloses an adapter structure, a board assembly, a quantum computing measurement and control system, and a quantum computer. The adapter structure is used to electrically connect a first signal connector of a functional board to a second signal connector of a measurement and control circuit. The adapter structure includes: a mounting base for detachable installation with the functional board; and a signal adapter connector installed within the mounting base. One end of the signal adapter connector is used to insert and cooperate with the first signal connector under the support of the mounting base to form a first connection interface, and the other end is used to insert and cooperate with the second signal connector to form a second connection interface. The first connection interface provides low insertion and extraction force to extend the insertion and extraction life of the first signal connector, while the second connection interface provides high insertion and extraction force to enhance the connection reliability of the second signal connector. This adapter structure significantly improves the insertion and extraction life of the functional board and reduces maintenance costs while ensuring connection reliability.

The application discloses a kind of based on flow perception intelligent network interface card optimization system and method, it belongs to computer network technical field.The optimization system of the application includes flow perception module, flow prediction module, resource scheduling module, priority queue module and load balancing module.The application introduces resource monitoring, flow perception, resource prediction and dynamic scheduling module, real-time monitoring network flow and predicting its change trend, according to flow mode dynamically adjusts resource allocation.The application effectively solves the problem of resource contention, through priority ordering and load balancing, ensure the stable operation of high priority task, improve the throughput and stability of system, reduce resource waste.The application is suitable for resource management of intelligent network interface card in data center and cloud computing environment, improves network processing efficiency and resource utilization, guarantees service quality, reduces resource waste, and enhances the adaptive capacity of system to dynamic load and complex flow mode.

Systems and methods for supporting heterogeneous and asymmetric dual rail fabric configurations in a high performance computing environment. A method can provide, comprising at one or more computers each including one or more microprocessors, a plurality hosts, each of the plurality of hosts comprising at least one dual port adapter, a private fabric, the private fabric comprising two or more switches, and a public fabric, the public fabric comprising a cloud fabric. A workload can be provisioned at a host of the plurality of hosts. A placement policy can be assigned to the provisioned workload. Then, network traffic between peer nodes of the provisioned workload can be assigned to one or more of the private fabric and the public fabric in accordance with the placement policy.

A multi-user remote firmware development and debugging system includes multiple computing systems under test (“SUTs”) that include a serial data communication interface and a serial peripheral interface (“SPI”) flash emulator. The system also includes a host computer coupled to the SPI flash emulators and the serial data communication interfaces. The host can receive firmware debugging messages from an SUT and transmit the firmware debugging messages to a remote computing device operated by a developer. The host can also update the firmware of an SUT in response to a command from the remote computing device. Additionally, the host can power SUTs on or off using a network power switch and provide the ability to view video generated by the SUTs on the remote computing device and to remotely control the SUTs from the remote computing device using a network keyboard / video / mouse switch or a host-controlled automated testing adapter in an SUT.

The embodiment of the invention provides computing equipment and a GPU module. The computing device comprises a case, a mainboard, a GPU module and a connecting device. The mainboard is located in the case; the GPU module is located in the case, and the GPU module comprises an adaptive device and a GPU card; the adaptive device is provided with a frame, a size-adjustable accommodating position is formed in the frame, the GPU card is arranged in the accommodating position, and the size of the accommodating position is matched with that of the GPU card; the GPU card is provided with a golden finger, a receding hole is formed in the position, corresponding to the golden finger, of the adaptation device, the connecting device is fixed to the GPU module, and the connecting device comprises a connecting cable, a first connector and a second connector, and the first connector and the second connector are arranged at the two ends of the connecting cable respectively; according to the GPU module, the golden finger penetrates through the receding hole to be connected with the first connector in an inserted mode, the second connector is electrically connected with the mainboard, modular design can be carried out on the GPU module, the compatibility adaptability of GPU cards of different sizes and forms in the GPU module is improved, and the adaptive capacity of computing equipment in different application scenes is enhanced.

This invention discloses a cluster component update method, apparatus, electronic device, and program product, relating to the field of cloud computing technology or other related technical fields. The method includes: executing an update task; issuing an update instruction to a node agent module deployed on a specified component node; the update task includes at least: a specified component node and a target version; downloading the binary file of the target version through the node agent module; and, if the file integrity verification passes, calling the component hot-loading adapter corresponding to the specified component node; starting a new process through the component hot-loading adapter; using the new process to update the original version to the target version, and notifying the old process to exit; and confirming the update task is complete after verifying that the component functions of the specified component node are normal. This invention solves the technical problem in related technologies where large-scale cluster component updates rely on complete node reconstruction, which is time-consuming and reduces the response capability to sudden security threats.

The invention provides a 2.5 D packaging preparation method for realizing multi-layer rewiring and a 2.5 D packaging structure. The method comprises the following steps: preparing a composite adapter plate structure consisting of a silicon adapter plate and a rewiring adapter plate; preparing a rewiring layer and a micro bump which are used for connecting a computing chip and a storage chip above the silicon adapter plate; enabling the silicon adapter plate to be connected with the rewiring adapter plate with a plurality of rewiring layers through micro bumps prepared below the silicon adapter plate; and the rewiring adapter plate is connected with the micro salient points below the silicon adapter plate through the micro bonding pad manufactured above the rewiring adapter plate, so that the rewiring adapter plate is connected with the packaging substrate through the controllable collapse connecting chip manufactured below the rewiring adapter plate. According to the invention, the problem of warping when the rewiring layer under the silicon adapter plate is directly made into multi-layer wiring can be solved, the performance of the packaging structure is improved, and the packaging structure can cope with application scenes with high-density interconnection requirements, a large number of input and output IOs and particularly high IO density.

The present application relates to a kind of training phase perception type SHARP in-network collection communication operator dynamic scheduling system and method, system includes: training framework domain: perception training phase and generate standardization phase descriptor;Host channel adapter domain: descriptor is forwarded to switch SMA by out-band channel, and listens to GPU progress token to realize submission gate;Switch CFU dynamic scheduling domain: according to strategy table, reconfigure parameter in CFU pipeline idle gap, realize no-interruption dynamic scheduling.The present application establishes a light training phase perception collaborative link between training framework in host side and CFU in switch side, realizes the real-time dynamic scheduling of CFU execution strategy with training phase, so that the in-network computing acceleration benefit of SHARP is extended from the current limited All-Reduce scene to the complete communication life cycle of AI large model training.

In various examples, a computing system with a printed circuit assembly including a socket coupled to an interposer to allow the testing of various components of the printed circuit assembly is provided. For example, the interposer includes a connector that is coupled with the adapter board and allows communication between the adapter board and the printed circuit assembly. In one example, the adapter board is connected to an emulation system that emulates an integrated circuit component such as a System on a Chip (SoC). In other examples, the adapter board includes components that test hardware and software of the printed circuit assembly.

The application discloses a large language model end-cloud collaborative reasoning system based on low-rank fine-tuning, and belongs to the technical field of inference optimization of end-edge-cloud computing. An end-cloud collaborative reasoning architecture is established. In an offline stage, a large language model is fine-tuned based on training data of different downstream tasks on a cloud side. In an online stage, a user request is classified through a "variational autoencoder-Gaussian mixture model" clustering, and it is judged whether a low-rank adapter matching a current task exists in an end-side cache. If yes, reasoning is performed on the end side. Otherwise, the task is forwarded to the cloud side. After the architecture processes a plurality of user requests, a Mamba model is used to analyze user historical requests and a cache state, and an end-side low-rank adapter library is dynamically updated. End-cloud load and reasoning delay are monitored in real time, and a new adapter is incrementally issued to the end side according to a task repetition rate. The application realizes dynamic balance of the system, reduces computing and storage overhead, and ensures high efficiency and adaptability of the system.

A method and apparatus are provided for facilitating a datatype engine (DTE) to support high performance computing. A network interface card (NIC) receives, via a message passing interface, a command to read data from a host memory. The NIC determines that the command indicates a first datatype descriptor stored in the NIC. The NIC forms, based on the command, a packet which indicates a base address and a length associated with the data to be read from the host memory and passes the packet to the DTE. The DTE generates a plurality of read requests comprising offsets from the base address and corresponding lengths based on the first datatype descriptor. The DTE passes the plurality of read requests to a direct memory access module, thereby allowing the NIC to access the host memory while eliminating copies of the data on the host during transfer of the command across a network.

A software defined distributed control system (SDCS) in a process plant includes an application layer that includes a plurality of containers instantiated in a data cluster. Each of the containers is an isolated execution environment executing within the local operating system of a respective computing node. The containers cooperate to facilitate execution of a control strategy in the SDCS, and includes a hyper converged infrastructure (HCI) operating across the data cluster, which HCI is configured to communicate with the application layer via an adapter service. The HCI includes software-defined (SD) compute resources, SD storage resources, SD networking resources, and an orchestrator service. The orchestrator service is programmed to configure a first container to include a service executing within the first container. It also assigns the first container to execute on an available hardware resource to control a plurality of field devices operating in the process plant.

The utility model provides a cable assembly and computing equipment, and relates to the technical field of computing equipment. The computing device comprises a mainboard, an adapter plate, a PCIe device, a second power supply, a first connector, a second connector, a third connector, a signal line and a first power line. The first connector comprises a first data pin, and the first connector is connected with the mainboard. The second connector comprises a first power pin and a second data pin, and the PCIe device is connected with the adapter plate through the second connector. One end of the signal line is connected with the first data pin, and the other end is connected with the second data pin. And the third connector comprises a second power supply pin and is connected with a second power supply. One end of the first power line is connected with the second power pin, and the other end is connected with the first power pin. According to the embodiment of the invention, the PCIe equipment can be independently controlled to be powered on or powered off at lower cost.

A method for adjusting fan speed based on a cable connection includes reading an identifier (“ID”) of a network interface card (“NIC”) installed in a computing device, the identifier indicating a NIC type, determining one or more cable types connectable to the NIC from the specification information of the NIC, and measuring power consumption of the NIC. The method includes determining from the power consumption the one or more cable types connectable to the NIC a current cable type connected to the NIC or a lack of a cable connected to the NIC, determining power requirements for the NIC based on the lack of a cable connected to the NIC or the current cable type connected to the NIC, and adjusting a fan speed of one or more fans of the computing device in response to determining the power requirements for the NIC.

Systems and techniques for listening for input / output (I / O) events in a computing system are described. An example technique includes obtaining a configuration including a plurality of listening space profiles, each listening space profile indicating a respective range of memory addresses mapped to a respective completion queue. The technique also includes monitoring input / output (I / O) traffic exchanged on a communication interface between an I / O adapter and a processor in the computing system based on the configuration. The technique further includes performing one or more actions to assist in processing of the I / O traffic based in part on the monitoring.

Systems and methods for supporting a single logical IP subnet across multiple independent layer 2 subnets in a high performance computing environment. A method can provide, at a computer including one or more microprocessors, a logical device, the logical device being addressed by a layer 3 address, wherein the logical device comprises a plurality of network adapters, each of the network adapters comprising a physical port, and a plurality of switches. The method can arrange the plurality of switches into a plurality of discrete layer 2 subnets. The method can provide a mapping table at the logical device.

The invention relates to a model self-adaptive dynamic compression and distribution system for hardware computing power perception, which is used for carrying out intelligent model deployment for hardware perception on a federated learning scene of heterogeneous edge equipment, and comprises the following steps of: firstly, constructing a hardware perception model adapter; generating a model structure matched with the equipment capability through multi-dimensional hardware feature evaluation and a dynamic compression strategy; then performing local training of knowledge distillation enhancement; further, self-adaptive heterogeneous model federated aggregation is implemented, intelligent aggregation is performed according to model similarity and parameter importance, and the cooperation efficiency among heterogeneous models is improved; and finally, deploying the optimized edge model and monitoring the performance state in real time. According to the method, federated learning and knowledge distillation technologies are taken as implementation means, and intelligent fusion is carried out on heterogeneous models through a Fisher information-based parameter aggregation algorithm, so that the accuracy and the real-time performance of the models are guaranteed, and the resource utilization rate and the whole system are also remarkably improved.

The invention relates to the technical field of cloud computing, and particularly provides a distributed command execution method and device based on Kubernetes, and the device is divided into a user interface layer, a business logic layer and a service adaptation layer. Command line analysis and result display are carried out in the user interface layer; the business logic layer performs target screening and task execution scheduling; the service adaptation layer is provided with a Kubernetes adapter and an SSH adapter, the Kubernetes adapter obtains cluster information through a Kubernetes API (Application Program Interface), and a Pod name prefix and a target matched with a node name are filtered by using regularization; and the SSH adapter multiplexes a cienodes interface of the KubernetesClient to obtain IP (Internet Protocol) information of the node, and the name of the node is matched through regularization. Compared with the prior art, safe and efficient batch management of Kubernetes cluster resources can be realized, and a standardized solution is provided for operation and maintenance automation in a cloud native environment.

The present disclosure relates to an adapter bracket half-turn fastener. An adapter bracket of a computing device includes a cradle, an adapter card attached to the cradle, and a fastener attached to the cradle. The cradle is to support an expansion card. The adapter card is to electrically connect the expansion card to the computing device. The fastener is to secure the adapter bracket to the computing device. The fastener includes a handle, a shaft extending along a first axis, a pivot connecting the handle to the shaft, and a half-turn latch coupled to the shaft. The half-turn latch is configured to engage with a receptacle of the computing device to selectively secure the fastener to the receptacle. The handle is pivotable about the pivot between a deployed configuration and a stowed configuration, and in the stowed configuration, the handle is parallel to the adapter card.