100 results about "Thread management" patented technology

The invention discloses a thread management optimization method and device based on GPU sharing, and the method comprises the steps: inputting the attribute information of a target task and a current GPU state into a target prediction model when the target task is obtained, so as to obtain a prediction result outputted by the target prediction model; under the condition that the performance parameters reach the standard, calling thread block configuration and a shared memory to execute the target task so as to improve the data processing efficiency of each thread in the execution process of the target task; when it is monitored that the load of any thread is abnormal, the load of any thread is distributed to other threads with the fragment rate meeting the requirement, so that the execution efficiency of the target task is guaranteed. According to the method, the target prediction model is utilized, the thread block configuration of the target task is determined, the thread block configuration is called and the shared memory is shared, the data processing efficiency of the target task is improved, the abnormal load is distributed to other threads for execution, and the execution efficiency of the target task in the GPU shared environment is effectively guaranteed.

The invention relates to the technical field of vehicles, and discloses a vehicle-mounted process resource management method and system, electronic equipment, a storage medium and a vehicle, and the method comprises the steps: creating at least one configuration file which is used for defining a resource limitation parameter of each vehicle-mounted application process; calling a Cgroup interface, creating a corresponding Cgroup for each process, and setting a corresponding resource limit; in response to initialization of the vehicle-mounted application process, dynamically creating and managing a thread pool according to the resource limiting parameters; the configuration thread attribute setting interface is used for dynamically configuring the scheduling strategy, the priority and the affinity of the thread by the vehicle-mounted application process according to task requirements; configuring a thread monitoring mechanism for monitoring the execution time and state of each thread and recovering the corresponding thread; and configuring a cross-platform API (Application Program Interface) for uniformly calling interfaces related to process resource management and thread management. According to the method, excessive occupation and waste of resources are avoided, the thread execution efficiency and the response speed are improved, and the development difficulty and the maintenance cost are reduced.

The present invention belongs to the field of data processing, and specifically relates to a method and system for dynamically switching data sources of soft and hard panels of a flight simulator based on shared memory. The method aims to solve the problems of high latency, waste of resources, risk of data loss, and high maintenance costs in the prior art. The present invention comprises the following steps: constructing a database relationship binding table; establishing a corresponding data structure; initializing shared memory and updating variable addresses; associating data structures and defining data source switch parameters; activating a source switching judgment thread and a working thread; running a module to cause the soft and hard panels to write data according to the switch state; and releasing resources upon exit. The present invention achieves variable-level precise switching, avoids redundant switching through database binding tables and state variables; uses shared memory technology to improve data synchronization efficiency and system stability; uses dynamic thread management to reduce switching delays and improve response performance; and simultaneously improves simulator fault diagnosis and maintenance efficiency, reducing debugging time and costs.

In a thread management method, an application submits first information to an operating system through an API. The first information is used to indicate at least one first task to be executed by the application. The operating system allocates, by using the first information, the at least one first task to be executed by the application to a corresponding first task queue, and allocates a thread to the first task queue based on a current load level of the operating system and a type of the first task queue.

The invention discloses a thread management method and device, equipment and a storage medium. A target task is determined from a task queue, a target thread is determined from idle threads, and the target thread is scheduled to execute the target task. The execution state of the target task is monitored, and when it is monitored that the execution state is cancelled, execution of the target task is stopped, and a new target task is determined again from the task queue. Thus, by directly packaging the target function into the target task and scheduling the thread to execute the corresponding target task, the process of matching the operation language with the thread pool can be omitted, the thread pool is accurately scheduled, the situation that more memory needs to be occupied when the execution state of the target task is cancelled by adopting a lock mechanism is avoided, and the user experience is improved. And the service execution efficiency is ensured.

The invention discloses a hardware thread function management method and device, equipment and a medium, and relates to the technical field of CPU architecture design, the method comprises the following steps: when a program executes a thread call Call instruction, obtaining a target thread entry address corresponding to the instruction; if the address is not recorded in the thread management table, skipping to and executing the thread at the address; if the address is recorded in a target data entry of the thread management table, detecting whether a target thread is in an awakening state or not according to a target awakening flag bit in the target data entry; if yes, a target thread wake-up address in the target data entry is obtained, and a target thread of the address is skipped and executed; otherwise, skipping the instruction and continuing to execute the next instruction of the Call instruction. By introducing the hardware thread record table, parameter configuration is prevented from being carried out again when the thread is called, and by designing a hardware management thread scheduling mechanism, the thread scheduling process is simplified, the system overhead is reduced, and the thread management efficiency is improved.

The invention belongs to the field of data processing, and particularly relates to a flight simulator soft and hard panel data source dynamic switching method and system based on a shared memory. The invention aims to solve the problems of high delay, resource waste, data loss risk and high maintenance cost in the prior art. The method comprises the following steps: constructing a database relationship binding table; establishing a corresponding data structure; initializing a shared memory and updating a variable address; associating the data structure and defining a data source switch parameter; activating a source switching judgment thread and a working thread; the operation module enables the soft and hard panels to write data according to the on-off state; the resources are released during quit. According to the method, variable-level accurate switching is realized, and redundant switching is avoided through a database binding table and a state variable; the shared memory technology is adopted to improve data synchronization efficiency and system stability; dynamic thread management reduces switching delay and improves response performance; meanwhile, the fault diagnosis and maintenance efficiency of the simulator is improved, and the debugging time and cost are reduced.

The invention provides a multi-thread management and control method and related equipment. The method comprises the following steps: monitoring a system load in a system operation process; when the load exceeds a preset load threshold value, traversing at least part of threads in the system operation process; executing the following steps on the traversed first thread: at least obtaining the awakening frequency and the thread identifier of the first thread; the importance degree of the first thread is determined at least according to the awakening frequency of the first thread and a thread identifier, the awakening frequency of the first thread is in positive correlation with the importance degree of the first thread, the thread identifier is used for identifying whether the first thread is a key thread or not, and the importance degree of the key thread is higher than that of a non-key thread; when the importance of the first thread is too low, thread control operation is executed on the first thread, and the control operation is used for reducing the utilization rate of CPU resources by the first thread. According to the method and the device, different threads can be managed and controlled in different high-load scenes, and the system load can be reduced in time on the premise that the operation experience is not influenced.

Systems and methods for managing performance in heterogenous computing platforms of IHS (Information Handling Systems) are described. In an illustrative, non-limiting embodiment, a heterogeneous computing platform includes devices and a memory storing firmware instructions. Based on execution of these firmware instructions by a respective device, a corresponding firmware service is provided such that one of the devices operates as an orchestrator. The orchestrator receives reports of changes in context of operation of the IHS by a user and based on the change in user context, determines responsiveness settings that are mapped to the reported user context, where the responsiveness settings adjust thread management policies by one or more processors of the heterogeneous computing platform. The orchestrator configures the one or more processors of the heterogeneous computing platform based on the responsiveness settings, and thus adjusts the performance of the IHS in response to the change in user context.

The invention discloses a data transmission method based on a multi-thread IPC message channel, which relates to the technical field of data transmission and comprises the following steps of: selecting an IPC mechanism according to application requirements, defining a message format, creating an IPC object and setting corresponding access authority and attributes; an IPC object is initialized, and a plurality of threads are created based on task requirements. According to the data transmission method based on the multi-thread IPC message channel, by optimizing thread management and resource utilization, the performance and the response speed of a system are remarkably improved, threads in a thread pool can be reused, the complexity of thread life cycle management is reduced, in addition, by reasonably configuring the size of the thread pool and dynamically adjusting the number of the threads according to the system load, the data transmission efficiency is improved, and the service life of the system is prolonged. And meanwhile, context switching overhead caused by too many threads is avoided, and an efficient management mechanism of resources enables the system to respond to external requests more quickly and process data, so that faster response time and higher throughput are provided.

The invention discloses a system and a method for performing flash disk redundant array computing management based on a GPU (Graphics Processing Unit). The system comprises an application layer, a host control layer, a GPU computing layer, a storage layer and a monitoring and optimizing layer. An application layer receives an external request through an API, and a task manager decomposes a file into an executable task corresponding to RAID fragmentation data; a host control layer coordinates task distribution of a GPU cluster and an NVMe solid state disk array through a task scheduler, an NVMe driver manages storage equipment, and a GPU direct connection port supports direct data transmission of a calculation layer and a storage layer; a GPU cluster of the GPU calculation layer comprises a hierarchical thread pool, a self-adaptive fragmentation module, a parallel verification assembly line and a video memory management module which are used for respectively realizing thread management, dynamic fragmentation adjustment, RAID verification calculation and video memory distribution; the storage layer stores fragments and redundant data by using an NVMe array; and the monitoring and optimization layer realizes system state monitoring and scheduling optimization through performance monitoring and AI prediction. According to the invention, the data fragmentation, verification and storage efficiency can be improved.

The invention discloses a multi-modal visual analysis system for teaching, which belongs to the technical field of computer vision and artificial intelligence, and comprises a video acquisition and processing module for acquiring video frames in real time and judging whether dynamic change exists in a scene; the multi-thread parallel analysis module is used for realizing parallel processing of video acquisition and analysis; the user interface module is used for displaying the captured real-time video frames by designing interface layout; the analysis result output and display module is used for pushing and displaying the intermediate result in real time and sending a final analysis conclusion after analysis is completed to the user interface module; the system stability and resource management module comprises multi-thread management and synchronization and resource overhead monitoring and optimization; the log and error processing module is used for recording the running information of the program, recording the captured exception into a log and taking corresponding measures; according to the multi-mode visual analysis system for teaching, the real-time video frame is analyzed, so that the practical operation efficiency and quality are improved.

A computer-implemented method for thread management includes creating a first thread, where the first thread is a kernel-level thread and the first thread has a first thread context. A second thread is created through the first thread, where the second thread is a user-level thread and the second thread inherits the first thread context. After the second thread is stored in a run queue, the first thread is controller to enter an idle loop state. The second thread is selected from the run queue through a scheduling thread. The second thread is executed.

Apparatus and method for throttling ray tracing operations based on a cache hit rate. For example, one embodiment of a processor comprises: a cache subsystem comprising one or more caches; circuitry to track a plurality of hits and misses in the cache subsystem for data accesses associated with ray tracing operations; and thread management logic to dynamically control a working set size for the ray tracing operations based on the plurality of hits and misses.

The invention discloses an ordered multi-thread batch bookkeeping method based on a bank core system. The method comprises the following steps: carrying out difference analysis on batch bookkeeping and online bookkeeping; creating an account model cache; model selection and creation of a thread pool; performing thread creation scheme type selection; packaging the accounting access parameters; carrying out adaptive reconstruction on the bookkeeping service; analyzing a thread accounting result; creating database interaction operation and using a batch processing mode; warehousing thread accounting results in batches; account keeping abnormity is processed; and performing thread management and database interaction operation management after bookkeeping is finished. According to the method, the problems of high concurrency performance bottleneck and transaction waiting in the prior art can be solved, the system bookkeeping performance, the user experience and the system stability are improved, and efficient, accurate and reliable execution of multi-thread ordered batch bookkeeping in a bank core system is achieved.

The invention relates to a multi-thread dynamic task scheduling circuit, a computing chip and a computing system, which are integrated in a parallel computing chip, and comprise a plurality of thread management units which are respectively used for storing context information of each task thread, reading an instruction stream from a memory through an internal instruction reading and transmitting unit, and decoding and transmitting the instruction stream; the arithmetic logic unit is used for executing arithmetic and logic operation instructions of the thread management unit so as to realize dynamic parameter derivation during operation; the task distribution unit is used for arbitrating the task configuration information transmitted by the plurality of thread management units and distributing the task configuration information to each processing unit in the chip; and the synchronization unit is used for synchronizing primitives through hardware so as to realize synchronization among the plurality of thread management units and synchronization between the thread management units and the processing unit. Each thread is programmable and adapts to complex scenes such as dynamic image sizes and dynamic calculation processes.

The embodiment of the invention discloses a thread allocation method and device, electronic equipment, a storage medium and a program, and can be applied to the technical field of computer application and financial science and technology. The method is applied to a thread management and control system, and comprises the following steps: acquiring a thread operation permission request and current thread operation information sent by each thread request device; wherein the current thread operation information comprises thread association attribute information and thread operation resource limitation information; and allocating a thread requested by the thread request equipment to the thread request equipment according to the thread association attribute information under the condition of determining that the thread request equipment meets a thread allocation condition according to the thread operation resource limitation information and the thread operation permission request. According to the technical scheme provided by the embodiment of the invention, the reasonability of thread distribution can be improved, so that the stability of thread operation and the stability of thread request equipment operation are improved.

The invention discloses a visual API gateway arrangement aggregation control method and device and a storage medium, and relates to the technical field of micro-services, and the method comprises the steps: responding to an updating instruction, and obtaining at least one API arrangement configuration corresponding to the updating instruction; according to an analysis result of the API arrangement configuration, executing a thread management process, and generating / calling at least one target thread; and generating a gateway node component meeting a task scheduling normal form based on the target thread through topology packaging processing. According to the application, the processes of various service components are arranged through the visual dragging operation, and a self-defined asynchronous arrangement scheme is adopted, so that the technical problem that the service response speed of an API gateway is insufficient due to the fact that only simple forwarding can be carried out and the processing of a complex service process cannot be effectively supported in the prior art is solved; and the response efficiency of the API gateway interface and the service implementation efficiency are improved.

The invention discloses an automatic simulation test system and method for a multi-model and multi-configuration robot, and the system comprises a server and a plurality of test industrial personal computers, and the server is in data connection with the plurality of test industrial personal computers. Parameters are stored through the model configuration file unit, automatic scheduling is conducted through the task scheduling unit, the synchronous tool unit and the operation and maintenance tool unit are combined, full-process automatic switching of test models, configurations and test cases is achieved, manual intervention is not needed, and the problems that in the prior art, due to dependence on manual operation, efficiency is low, and errors are prone to occurring are thoroughly solved; a test is deployed on an actual industrial personal computer, hardware data are collected in real time by means of a hardware monitoring module, and hardware performance verification of the industrial personal computer is completed while functions of robot control software are verified; an independent thread is distributed for each industrial personal computer through the thread management unit, parallel testing of multiple industrial personal computers is supported, the testing throughput is greatly improved, and the overall testing period of multi-model and multi-configuration robots is shortened.

The invention relates to the technical field of thread management, and provides a background thread task processing method and device, equipment and a storage medium, the method comprises the following steps: when it is detected that a front-end application is started, obtaining a configuration file corresponding to the front-end application; when the configuration file indicates that a preset task type corresponding to a task included in the front-end application meets a background thread creation condition, creating a background thread corresponding to the front-end application; obtaining a current performance index of computer equipment where the front-end application is located; and according to the current performance index, controlling a background thread to process the task of the front-end application so as to improve the processing efficiency of the background thread on the task of the front-end application.

The invention discloses a Java-based micro-thread management system and method, the system comprises a micro-thread class, a queue, an actuator, a scheduler and the like, the micro-thread class defines a related interface and a queue storage instance, the running state of the micro-thread class is marked by an atomic variable and has multiple states, and the micro-thread class further comprises a life cycle control module. The management method comprises the steps of micro-thread instance creation and initialization, queue insertion and thread awakening, execution state switching and task execution, dynamic state management and control, priority scheduling strategy execution and the like. Wherein the actuator comprises a thread circulation and exception handling module, the scheduler comprises a dynamic priority chaotic mapping module, and the exception handling module has a classification processing and shadow thread mechanism and the like. According to the method, resource occupation of a single microthread is reduced through cooperation of all the components, the memory utilization rate is improved through the queue structure, and then the priority and the execution strategy can be flexibly set through the scheduler and the executor.

The invention discloses a liquid cooling plate processing full-flow management and control method and system and a medium, and relates to the technical field of liquid cooling plate processing, and the method comprises the steps: positioning management and control elements of a key stage of a liquid cooling plate processing production line; taking a mechanical tail end and a liquid cooling plate action area as a tracking target, constructing a dual-thread management and control model, deploying a microcontroller cluster to an edge side, and establishing communication interaction; the cluster is directionally triggered along with flow of a production line, full-process closed-loop control is realized through polling processing of directional tracking, error verification and lower decision, and a processing data chain generated by the cluster is used as a quality inspection traceability basis to solve the problem that the quality inspection accuracy is high due to interaction between complex process parameters and processing equipment. According to the technical scheme, the technical problems that the machining precision is unstable and errors in the machining process are difficult to effectively correct in the prior art are solved, and the technical effects that resonance and errors in the machining process are effectively eliminated through directional triggering and stage polling processing of the microcontroller cluster, and the machining quality and stability of the liquid cooling plate are ensured are achieved.

Systems and methods for a scalable hardware cache with configurable logical ports and related thread management are described. A scalable hardware cache includes a request interface having a first logical port and a second logical port associated with a fully-associative cache memory. The first logical port is configured to receive a first set of read requests with an expected cache hit and the second logical port is configured to receive a second set of read requests with an expected cache miss. The scalable hardware cache further includes thread processing circuitry to manage a first maximum number of a first set of threads for processing the first set of read requests and a second maximum number of a second set of threads for processing the second set of read requests that can be active at a given time based on a performance metric associated with the scalable hardware cache.

Aspects of the disclosure relate to batch processing at distributed servers. A computing platform may receive a first web service request, which may be a request for batch servicing. The computing platform may initiate a batch queue thread manager to process the first web service request, which may initiate a plurality of process threads, each configured to process, at any one time, a single job of the batch servicing. The computing platform may process, using the batch queue thread manager, the first web service request, which may include, by each of the plurality of process threads: 1) processing a first job of the batch servicing, and 2) processing, after completion of the first job, at least a second job of the batch servicing. After completion of the processing of the first web service request, the computing platform may output a response to the first web service request.

The embodiment of the invention discloses a thread management method and device, equipment and a readable medium. The method comprises the steps that multiple service threads needing to be scheduled for loading a scene view are obtained; obtaining a first parameter value of a display quality parameter of the scene view when each service thread is in a calculation resource quantity saturation state, and obtaining a second parameter value of the display quality parameter of the scene view when each service thread is in a calculation resource quantity non-saturation state; based on the first parameter value and the second parameter value corresponding to each service thread, calculating the quality influence degree of each service thread on the display quality of the scene view; and scheduling the processor cores for the plurality of service threads based on the quality influence degrees corresponding to the plurality of service threads respectively. According to the technical scheme, the scheduling reasonability of the service threads can be improved.

The present invention relates to the technical field of operating systems, and discloses a microkernel optimization method for an Internet of Things operating system. A plurality of Internet of Things devices and server devices are provided in the Internet of Things, and the Internet of Things operating system is applied to each of the Internet of Things devices and the server devices; the microkernel optimization method includes a system interface merging method, a thread ready queue delay update process, a specified thread call process, a thread lock release process, a capability word delegation process, and a capability word delegation revocation process. The technical solution of the present invention has the beneficial effect of providing a microkernel optimization method for an Internet of Things operating system, which can realize functions such as thread management, address space management, inter-thread communication, interrupt processing, etc., while taking into account all underlying functions and flexible microkernel architecture design, and avoiding circular dependencies between different modules.

Apparatus and methods for throttling ray tracing operations based on cache hit rates are disclosed. For example, one embodiment of a processor comprises: a cache subsystem, the cache subsystem comprising one or more caches; circuitry for tracking a plurality of hit and miss in the cache subsystem for data access associated with a ray tracing operation; and thread management logic to dynamically control a work set size for ray tracing operations based on the plurality of hits and misses.

The embodiment of the present application discloses a method for reading and writing a solid-state hard disk and a computer-readable storage medium. The method is applied to a read-write module in a kernel module of an operating system; the read-write module is used to maintain a continuous virtual memory page space and a distributed memory page allocator, the virtual memory page space is composed of multiple virtual memory pages, and each virtual memory page corresponds to a solid-state hard disk page one by one; the distributed memory page allocator is composed of several working threads, and each working thread manages a local memory pool composed of physical memory pages; the method includes the following steps: parsing the obtained read-write instructions to determine the target data to be processed and the read-write requirements; locating the corresponding virtual memory page and physical memory page according to the target data address; processing the target data in the solid-state hard disk page and / or physical memory page according to the read-write requirements to complete the read-write operation of the target data. The present application can improve the read-write efficiency of solid-state hard disk files.

A data transmission method is provided, where the method includes: receiving a user datagram protocol (UDP) data packet transmitted by a client; determining a target second thread from n second threads through a first thread, where the n second threads are configured for processing the UDP data packet, and the target second thread is configured for managing a QUIC connection corresponding to the UDP data packet; and transferring the UDP data packet to the target second thread through the first thread. The second threads are scheduled by the first thread, and different second threads may manage different QUIC connections, so that QUIC connections are managed through different threads. Therefore, a server can fully utilize a concurrent processing capability of a plurality of cores, which improves the efficiency of managing QUIC connections and the data transmission performance.

The invention relates to the technical field of computer application, and discloses a thread management method, a readable medium, electronic equipment and a program product. In the method, the electronic equipment can determine a target thread meeting a priority control condition according to the running time of a thread of which the priority type is a real-time priority, and the priority type of the target thread is reduced from the real-time priority to a non-real-time priority. And when it is detected that the target thread meets the operation management and control condition, suspending the target thread. By means of the thread management and control method, the problem that part of the threads with the priority types being real-time priorities run continuously for a long time or occupy hardware resources of a processor for a long time, and consequently other threads cannot run can be solved, and thread blocking is avoided.