144 results about "Physical computing" patented technology

A method and apparatus for scheduling virtual cloud computing resources. The method comprises: acquiring a computing power demand corresponding to a target service (210); creating a target virtual cloud computing resource, which is described on the basis of the computing power demand (220); and determining a target physical computing resource for the target virtual cloud computing resource from among a plurality of types of physical computing resources, which are managed by a resource scheduling system, binding the target physical computing resource with the target virtual cloud computing resource, and allocating the target virtual cloud computing resource to the target service after the binding is completed (230).

A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, perform certain acts. The acts can include generating a digital twin network simulation of a physical computer network controlled through a software-defined-network (SDN) control system. The acts also can include training a routing agent model on the digital twin network simulation using a reinforcement-learning model on traffic that flows through nodes of the digital twin network simulation. The routing agent model includes a machine-learning model. The acts additionally can include deploying the routing agent model, as trained, from the digital twin network simulation to the SDN control system of the physical computer network. Other embodiments are described.

The invention relates to a power grid fault detection system based on a generative adversarial neural network, and the system comprises a data collection and preprocessing module which is used for collecting real-time operation data and historical storage data from a bus of a power grid and each database, and carrying out the denoising and standardization processing of the real-time operation data and historical storage data; the data generation module is used for generating virtual fault data similar to the actual fault data according to the GAN model; the fault detection and analysis module is used for fusing physical calculation characteristics through a fault detection system constructed by a deep learning model; the alarm and response module is used for triggering an alarm mechanism after the fault type is determined; and the data storage and management module is used for storing the fault data, the generated data and the detection result thereof, and providing historical data support for the system for future system optimization and update. By adopting the system provided by the invention, the training of the fault detection model is enhanced by generating data similar to faults, so that various power grid faults can be identified and distinguished more sensitively and more accurately.

In accordance with example implementations, a process includes associating a secondary computer system with a primary computer system. The secondary computer system includes a first virtual machine, which is hosted by a secondary set of physical computer nodes. The primary computer system has a primary role, and the primary role corresponds to a minimum physical resource allocation. The secondary computer system is associated with a secondary role, and the second computer system is provisioned with a second physical resource allocation, which is less than the minimum physical resource allocation. The process includes, responsive to the primary computer system failing and without rebooting the secondary computer system, preparing the secondary computer system to take over the primary role. The preparation includes adding at least one physical computer node to the secondary set of physical computer nodes to cause the second physical resource allocation to meet or exceed the minimum physical resource allocation. The process includes, responsive to the primary computer system failing and without rebooting the secondary computer system, causing the secondary computer system to take over the primary role.

One or more embodiments of the present description provide a virtual computing resource scheduling method and a control plane component. The method comprises: acquiring a computing power demand of a target virtual computing resource to be created which corresponds to a target service; determining an expected state of the target virtual computing resource according to the computing power demand and resource state information of managed physical computing resources of multiple resource types, wherein the expected state comprises a target physical computing resource corresponding to the target virtual computing resource; and according to the expected state, using a sidecar pattern to deploy, at a first resource node allocated for the target service, a first service component corresponding to the target virtual computing resource, and binding the target physical computing resource with the target virtual computing resource, wherein the first service component comprises a main component used for operating the target service and a sidecar component used for assisting the target service to perform resource scheduling on the target virtual computing resource.

The invention relates to the technical field of distributed computing, and discloses a distributed computing modeling system design method for high-dimensional discrete data, which comprises the following steps: acquiring a feature identifier access request in a high-dimensional discrete data stream, counting an access frequency, and marking a feature identifier of high-frequency access as a high-frequency access state; constructing a local parameter copy on a non-master node physical computing unit of the distributed cluster; routing gradient update data aiming at the feature identifier to a local parameter copy closest to the network and generating a local residual tensor; calculating the direction cosine similarity of the local residual tensor and the global gradient update vector; calculating a real-time access entropy based on the access source distribution and converting the real-time access entropy into a dynamic synchronous threshold value; according to the method, through a dynamic synchronization judgment mechanism based on semantic information gain, high-frequency but invalid redundant communication is effectively inhibited, and network congestion under long-tail distribution is reduced.

The embodiment of the invention discloses a crushing effect display method and device, computer equipment and a storage medium, and belongs to the technical field of display. According to the crushing effect display method provided by the embodiment of the invention, when the crushing event aiming at the target virtual object occurs, the computer equipment renders the multiple fragments of the target virtual object based on the particle system and controls the multiple fragments of the target virtual object to move, so that the multiple fragments of the target virtual object can be displayed by using the particle system. The display of the fragments is controlled based on the crushing event, so that the movement of the object during crushing is simulated, complex physical calculation is avoided, and the performance of the equipment is remarkably improved.

Deployment of arrangements of physical computing components coupled over a communication fabric are presented herein. In one example, a method includes presenting, to a workload manager, a target machine capable of receiving execution jobs from the workload manager. The target machine has a network state and comprises a selection of computing components. The method also includes receiving a job issued by the workload manager that is directed to the target machine. Based on properties of the job, the method includes determining resource requirements for handling the job, forming a composed machine comprising physical computing components that support the resource requirements of the job, transferring the network state of the target machine to the composed machine and indicating the network state of the composed machine to the workload manager, and initiating execution of the job on the composed machine.

Systems and methods that enable the efficient and adaptive allocation of resources dedicated to a virtualized resource-based computation (e.g., one or more information processing tasks) are provided. In one embodiment, a reward model is generated based on a set of statistical distributions, for example, in response to receiving a request to launch a set of VCRs. Thereafter, an expected reward is predicting for each configuration of a set of configurations based on the reward model and one or more parameters of the corresponding configuration. The expected reward indicates an efficiency in distribution or allocation of physical computation resources to the set of VCRs. A configuration of the set of configurations is selected based on the predicted expected reward for the configuration. The set of VCRs are then configured with the selected configuration.

Techniques for executing multiple large language models (LLMs) on a single physical computing device, including receiving a task to be performed by at least a first LLM and a second LLM, creating a plurality of virtual compute nodes on the single physical computing device for processing at least some of first set of sub-tasks to be performed by the first LLM and second set of sub-tasks to be performed by the second LLM, wherein each one of the plurality of virtual compute nodes includes one or more graphics processing unit (GPU) cores allocated for performing a sub-task of the first set of sub-tasks or the second set of sub-tasks, and executing at least some of the first set of sub-tasks and the second set of sub-tasks substantially in parallel across the plurality of virtual compute nodes using shared memory. Inferences between the first and second LLMs may be shared.

According to the display processing method and the electronic equipment provided by the invention, the mapping relationship between the simulation grid and the rendering grid is pre-configured, so that the corresponding rendering grid can be directly obtained according to the mapping relationship after the simulation grid is determined. Therefore, the picture quality delicate effect is ensured, the physical calculation load is reduced as much as possible, and the delicate dynamic effect experience is realized. The method comprises the steps that the electronic equipment responds to a first operation of a user, a theme used by the electronic equipment is determined, and the theme comprises an elastomer displayed on a screen-off interface; and then the electronic equipment obtains a simulation grid corresponding to the elastomer. And mapping the simulation grid into a rendering grid according to the mapping relation. And according to the rendering grid, the electronic equipment displays a screen-off interface comprising the elastomer.

The invention relates to the technical field of electric digital data processing, and discloses a data processing system for message management, which comprises a look-ahead buffer unit for maintaining a sliding window with variable window size parameters and pre-reading a message sequence; the mapping logic circuit is used for converting the resource identifier into a resource request mask; the state register is used for storing a global occupancy bitmap for representing resource occupancy; the scheduling controller is used for distributing messages according to bit operation results, counting bitmap setting quantity based on the population counting instruction to generate a resource saturation index, and then adjusting window size parameters in a negative feedback mode. The resource contention entropy value is directly sensed by utilizing a hardware instruction, nanosecond-level self-adaptive breathing control of a scheduling window is realized, and the service life of the scheduling window is prolonged. The problem of physical computing power collapse caused by bitmap scanning jitter in a high-concurrency scene is solved.

The embodiment of the invention provides an operating system and a signal system cloud platform, and the operating system comprises an abstraction layer which is used for packaging the architecture-level drive of a computing node, architecture-level virtualization and the core of a CPU, and providing a packaging interface irrelevant to a hardware system for other layers; the microkernel layer is used for constructing various components of the microkernel by using the interface provided by the abstraction layer; and the application layer comprises a plurality of virtual machines running on a micro kernel, the virtual machines comprise real-time virtual machines and non-real-time virtual machines, and each real-time virtual machine is configured with resources isolated from other virtual machines. According to the technical scheme of the embodiment of the invention, the computing node hardware is abstracted, and the microkernel constructed based on the abstraction supports real-time and non-real-time virtual machines, so that applications with different security levels run in parallel on the same physical computer, and the utilization efficiency of hardware resources is improved.

The invention discloses an intelligent computing power resource management system and method, and the system comprises a virtual computing power card HAL, a computing power management unit, and a computing power resource application and release unit, the virtual computing power card HAL is used for carrying out the computing power abstraction of all GPU / FPGA / NPU physical computing power cards, and forming a plurality of computing power resource pools with the computing power aggregation of the plurality of computing power cards; the computing power management unit is used for performing data resource management on a computing power resource pool by taking 1TFLOPS as a unit; the computing power resource application and release unit provides API interfaces for different applications, and dynamic application, dynamic release and dynamic migration of computing power resources are achieved, so that the switching frequency of application contexts is reduced. According to the invention, cooperative work and computing power aggregation of a plurality of computing power cards such as GPU / NPU / FPGA are realized, so that a larger computing power resource pool is formed. And 1TFLOPS is taken as the minimum unit of computing power management, so that fragmentation of computing power resources is reduced, dynamic application and release of the computing power resources are realized, and the efficiency of the computing power card is improved.

Embodiments of the present specification provide a task processing method including: determining current state information of initial virtual nodes based on a target task received, where the current state information is determined based on a physical computing unit corresponding to the initial virtual nodes; based on task type information of the target task, determining candidate virtual nodes corresponding to the task type information from the initial virtual nodes; and determining a corresponding target virtual node for the target task based on the current state information of the candidate virtual nodes, and executing the target task through the target virtual node, thereby meeting a need to accurately determine the target virtual node for the target task.

The invention relates to the technical field of computer virtualization, and discloses an image rendering method based on an SPICE protocol and a virtual GPU, and the method comprises the steps: enabling virtualization configuration on a physical computer node, installing GPU equipment and a driver thereof, creating a virtual machine on the node, and distributing the virtual GPU; installing a display drive model in the virtual machine to redirect the drive, intercepting and redirecting the rendering and computing tasks to the virtual GPU for processing; and installing the modified QXL driver, identifying the QXL driver as a PCI device driver, capturing a picture rendered by the virtual GPU, and transmitting graphic output through an SPICE protocol. According to the method, by combining the virtual GPU and the SPICE protocol, efficient graphic rendering and remote display are achieved, the problem that the performance of a traditional virtual graphics card is limited is solved, and the method is suitable for virtual machine application scenes needing high-performance graphic processing.

The embodiment of the invention provides a computing resource processing method and device and a storage medium. In the embodiment of the invention, the resource scheduling of the physical computing resource objects and the dormancy control of the physical computing resource objects are combined, and the dormancy state transfer prediction information corresponding to the physical computing resource objects is maintained; the physical computing resource objects are scheduled according to the maintained dormant state transfer prediction information, so that tasks can be scheduled to the physical computing resource objects with relatively shallow dormant states or relatively busy dormant states as much as possible, and part of the physical computing resource objects are enabled to be in deep dormant states as long as possible; parts of physical computing resource objects are busy as much as possible, and the frequency of entering and exiting the dormant state of the physical computing resource objects is reduced.

The embodiment of the invention provides a physical machine, a resource scheduling method, equipment and a storage medium. In the embodiment of the invention, a physical computing resource object of a physical machine bears a virtual computing resource object required for running a virtualization instance, and different resource scheduling strategies are adopted to perform time-sharing scheduling on the virtual computing resource object; in the process of scheduling the virtual computing resources according to the currently used resource scheduling strategy, the running state data of the physical computing resource object and / or the currently borne virtual resource object is monitored, and the currently used resource scheduling strategy is dynamically adjusted according to the change condition of the running state data. Therefore, the resource scheduling strategy matched with the running state of the physical computing resource object and / or the virtual computing resource object is adopted, reasonable scheduling of the virtual computing resource object can be achieved, and the running performance of the virtual computing resource object and the resource utilization rate of the physical computing resource object are improved.

The disclosure relates to systems, methods and computer readable media for enabling distributed secure remote access from a device via a wide area network (WAN), to a designated physical site covered by local area network (LAN). Specifically, the disclosure relates to a computerized systems, methods and computer-readable media using hardware-based, virtual private network pairs having preshared encryption / decryption keys, operable to transmit data over WAN from a physical computing device to an exclusively designated site in a physical area covered by a LAN.

The invention provides a computing power energy consumption evaluation method and device, computer equipment and a storage medium, relates to the technical field of computers, and is used for effectively supporting the evaluation of the overall computing power energy consumption of a trusted data center. The method comprises the following steps: acquiring respective use information of a plurality of virtual computing instances; the plurality of virtual computing instances are divided based on a plurality of virtual computing power resources; one virtual computing power resource corresponds to one physical computing power resource; one virtual computing instance is used for scheduling partial resources of each virtual computing power resource in the multiple virtual computing power resources; the use information comprises energy consumption information, use amount information and request amount information; based on the request quantity information of each virtual computing instance, determining an energy consumption weight of each virtual computing instance; based on the respective usage amount information, energy consumption information and energy consumption weights of the plurality of virtual computing instances, determining energy consumption assessment results of the plurality of physical computing power resources; the energy consumption evaluation result is used for reflecting the energy consumption condition during the operation of various physical computing power resources.

Techniques are described for managing communications between multiple computing nodes, such as computing nodes that are separated by one or more physical networks. In some situations, the techniques may be used to provide a virtual network between multiple computing nodes that are separated by one or more intermediate physical networks, such as from the edge of the one or more intermediate physical networks by modifying communications that enter and / or leave the intermediate physical networks. In some situations, the computing nodes may include virtual machine nodes hosted on one or more physical computing machines or systems, such as by or on behalf of one or more users (e.g., users of a program execution service). The managing of the communications may include determining whether communications sent to managed computing nodes are authorized, and providing the communications to the computing nodes only if they are determined to be authorized.

To realize a setup capable of reducing a possibility that a user is distrustful because of adjustment of difficulty when realizing game play of a virtual prize acquisition device.SOLUTION: A server system 1100 performs operation control of a virtual operation mechanism on the basis of a user's instruction operation, and realizes a virtual prize acquisition device for performing prize acquisition play aiming to acquire a prize by moving a virtual prize disposed in a virtual space and allowing it to arrive at a given target place. The server system 1100 comprises: a physical arithmetic control section 235 for moving a virtual prize by performing a physical computation including contact and gravity pertaining to the virtual prize by assuming a virtual space to be a real space; a determination section 237 for determining whether a difficulty change condition based on a play situation is satisfied; and a change control section 239 for executing change control for changing a play setting that a user can visually recognize in the case of affirmative determination by the determination section.SELECTED DRAWING: Figure 22

The invention relates to the technical field of computers, and discloses a computer memory data processing system comprising a calculation task compiling module used for determining physical setting parameters according to a calculation task and generating a preset target evolution path; the physical calculation execution module is used for performing state evolution according to the physical setting parameters; the dynamic feedback control module is used for monitoring the actual evolution state and generating a calibration signal according to the deviation between the actual evolution state and a preset target evolution path so as to dynamically adjust driving; and the result decoding module is used for converting the steady-state physical quantity into a calculation result after the system reaches a stable equilibrium state. By constructing closed-loop feedback control, evolution deviation generated by non-ideal factors of a physical system is corrected in real time, it can be effectively guaranteed that actual state evolution of physical calculation accurately tends to a preset ideal path, and therefore the accuracy and reliability of data processing through the physical process are remarkably improved.

The invention relates to the technical field of artificial intelligence, in particular to a data service system construction method taking artificial intelligence computing power as a core, which comprises the following steps of computing power resource planning and deployment, data acquisition and preprocessing, data storage and management, artificial intelligence model development and training, data service interface design and implementation and data service monitoring. By adopting a virtualization technology, physical computing power resources are abstracted into a virtual resource pool, and computing power is dynamically allocated according to service requirements, so that idle and waste of hardware resources in a traditional mode are avoided.

To provide a system control system capable of performing monitoring control of the conventional range by fewer physical computers.SOLUTION: A system control system comprises: a monitoring control server which monitors a power system; a console host server which provides a console to be connected with the monitoring control server; and a console client, wherein the console host server comprises the console constructed as a container by using virtualization technology of a container type, and the console displays state data showing a state of a power facility provided in an area to be monitored by the monitoring control server on the console client.SELECTED DRAWING: Figure 1

A system and method for efficient tracking and rendering of dynamic entities in video games. In order to avoid costly computational loads associated with simulating physics for each dynamic entity independently, then rendering each entity, the system and method stores the pose of dynamic entities after physics calculations and amalgamates pose data into an optimized data structure to allow a graphics processing unit (GPU) to re-create the pose of and display a plurality of dynamic entities as part of a single rendering pass, referring to only a single set of reference data. The method achieves this by recording the position and rotation of a set of pre-defined bones of importance of a skeleton onto a single location, a single image file, which contains all the information necessary for the GPU to pose and display each of the dynamic entities simply by referencing some pre-defined definitions.

The application relates to the technical field of cloud computing, in particular to a computing resource scheduling method and device, equipment and a storage medium, the method comprises the following steps: constructing a self-defined type of resource, and constructing a corresponding controller according to the self-defined type of resource; when the category of the controller is a virtual machine, a container containing the virtual machine is constructed; according to the type corresponding to the self-defined type of resource, corresponding resource configuration is extracted, and the creation instruction of the container containing the virtual machine is rewritten, the virtual machine is scheduled, and thus a single physical computer can support mixed scheduling of virtual machines and containers simultaneously.

In a computer system with multiple physical computers at different physical locations, a transformer module receives an original query from a client-side computer, analyzes the query statements and annotates the query. The transformer module forwards the annotated query to server-computers. This approach allows a data-analyst 190-ALPHA to use a query that is relatively simple, wherein a data-analyst 190-BETA who does not benefit from the transformer module would have to write a more complex query.

Techniques are described for managing communications between multiple computing nodes, such as for computing nodes that are part of managed virtual computer networks provided on behalf of users or other entities. In some situations, one or more of the computing nodes of a managed virtual computer network is configured to perform actions to extend capabilities of the managed virtual computer network to other computing nodes that are not part of the managed virtual computer network, such as by forwarding communications between computing nodes of the managed virtual computer network and the other external computing nodes so as to enable the other external computing nodes to participate in the managed virtual computer network. In some situations, the computing nodes may include virtual machine nodes hosted on one or more physical computing machines or systems, such as by or on behalf of one or more users.

A device may receive, via executable instructions of an electronic document running on a physical computing device, a request from an automated auditing system to audit data of the electronic document. A device may process, via the executable instructions of the electronic document running on the physical computing device, the request to audit the data of the electronic document. A device may deliver, to the automated auditing system and from the electronic document via the executable instructions running on the physical computing device, data in a format that is native to the electronic document and auditable by the automated auditing system in a state in which it is stored in the electronic document.