117 results about "Physical computing" patented technology

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.

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.

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.

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.

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.

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 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.

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.

The application provides a kind of industrial cloud platform computing resource dynamic scheduling method and system combined with deep learning, it is related to industrial cloud platform technical field, first, the real-time request queue parameter set and real-time container resource parameter set of containerized application instance set in industrial cloud platform are acquired, then correlation coupling analysis is carried out to generate service quality sensitivity descriptor set, then call deep learning request flow prediction network to identify request flow evolution mode, generate predicted request timing distribution set in future prediction time window, according to the node available resource parameter set of the two sets above Resource reservation dynamic programming is carried out to physical computing node cluster, generate dynamic binding relationship mapping set, finally, based on the dynamic binding relationship mapping set Migration scheduling instruction sequence is generated and issued to container orchestration scheduler, to realize the dynamic accurate scheduling of computing resource.

The invention provides a geophysical computing system protection method and a geophysical computing system protection device, which solve the problem that low-version software of an operating system cannot meet the requirement of cluster security management and brings difficulty to security maintenance of a cluster. The geophysical computing system protection method comprises the steps that when a user logs in a system, a login protection function is started, a risk value of a host is acquired, whether the host is in a high-risk state or not is judged based on the risk value, and if yes, host repair is carried out; after a user logs in the system, a system protection function is started, and the firewall is configured based on policy configuration so as to close unnecessary services; and when the user accesses the system, starting a data protection function, and auditing the user permission to control the access permission.

The embodiment of the invention discloses an interface interaction control method, a computer system, equipment and a computer storage medium. According to an interface type of a target virtual interface indicated by the creation request, creating a target virtual computing power device corresponding to the interface type in a target virtual environment, responding to a deep learning request of the target virtual environment through the target virtual computing power device, and forwarding the request to a host machine, and scheduling a physical computing power device corresponding to the interface type to respond to the request, and returning a processing result of the request to the target virtual environment through a target virtual computing power device. According to the method, virtualization is carried out from a software interaction level instead of virtualization of computing power hardware, the scheme is completely realized based on software, and a physical GPU is not required to have any special virtualization hardware function, so that almost all mainstream and even old models of GPUs on the market and accelerators such as NPUs with different architectures can be managed. And the user does not need to pay for expensive virtualization dedicated hardware and software license, so that the virtualization deployment cost is reduced.

Components of a distributed database may operate faster by maintaining connections to multiple other components. These components may be hosted on various physical computing devices. An application layer communication system comprising a network proxy on each computing device involved in the distributed database may decrease the overall number of connections that are to be established and maintained during operation of the distributed database. The network proxies at sending devices may reduce traffic across the connections by combining packets directed from a particular device to another.

A nonlinear physical computing architecture comprising a continuous nonlinear domain in which excitation produces persistent reshaping of at least one spatially continuous parameter field. Said reshaping alters non-local coupling coefficients of governing nonlinear equations and modifies attractor basin topology. Subsequent excitation follows a measurably reduced state-space trajectory length relative to baseline measured following reset. Persistence magnitude may be continuously modulated, and multiple domains may be orchestrated in staggered reset configurations. The architecture excludes discrete memory cells and programmable weight matrices.

The invention provides a computing power aggregation method and device of a common computing power intelligent computing cloud platform, and relates to the technical field of intelligent computing centers, intelligent computing centers and computing power infrastructure, the intelligent computing cloud platform comprises a logic computing power cluster and a plurality of physical computing power clusters, each physical computing power cluster comprises a plurality of computing power nodes, and each physical computing power cluster comprises a plurality of computing power nodes. The method comprises the steps that a logic computing power cluster synchronizes information of each computing power node in a physical computing power cluster in real time, the computing power nodes are mapped into virtual computing power resources, and the virtual computing power resources are put into a computing power resource pool; receiving a container creation request or a calculation task creation request of a user, and creating a container based on the request; based on the information of each virtual computing power resource in the computing power resource pool, screening out a target virtual computing power resource matched with the container from the computing power resource pool; and determining a target computing power node corresponding to the target virtual computing power resource, and scheduling the target computing power node operation container through a physical computing power cluster where the target computing power node is located.

The invention relates to a vGPU performance interference perception-based large model reasoning load resource allocation method, which comprises the following steps of: giving a group of large model reasoning loads as well as allowable maximum first Token response time TTFT, maximum average single Token generation time TPOT and request arrival rate of the large model reasoning loads; obtaining a physical GPU required by the reasoning load, and calculating the minimum proportion of vGPU resources required by running the reasoning load in the physical GPU; taking as an initial allocation benchmark; carrying out descending sorting on the large model reasoning load according to vGPU resource requirements; for each to-be-allocated load, traversing the existing candidate GPU equipment, and dynamically allocating resources through an iterative adjustment mechanism on the premise of ensuring that the allocated resources of the current physical GPU do not exceed the maximum capacity of the current physical GPU; and if the existing device cannot accommodate the new load, expanding a new GPU device. According to the method, the vGPU resource scale required by the reasoning task can be accurately evaluated.

The invention discloses a resource scheduling method and electronic equipment, and relates to the technical field of computers, and the method comprises the steps: obtaining a creation request sent by a target computing platform; screening a physical computing node from the target resource pool, and sending the creation request to the physical computing node, so that the physical computing node creates a virtual computing node; obtaining a to-be-processed task sent by the target computing platform; acquiring current state information of the physical computing nodes, and distributing a first time slice for each physical computing node; based on the required time slice of the task to be processed and the current state information, distributing a second time slice to the virtual computing node after the first time slice is distributed; and sending the to-be-processed task to the virtual computing node after the second time slice is allocated so as to call the virtual computing node after the second time slice is allocated to execute the to-be-processed task, thereby solving the problems of inflexible physical deployment, low resource scheduling efficiency, difficulty in heterogeneous computing power integration and limited transmission quality, improving the resource utilization efficiency, and improving the resource utilization rate. And the bit error rate and the transmission loss are reduced.