G06F2209/543

DATA PROCESSING METHOD AND APPARATUS, AND READABLE MEDIUM AND COMPUTING DEVICE
20250004819 · 2025-01-02 ·

The disclosure relates to a data processing method, apparatus, readable medium, computing device, computer program product, and computer program. The method is implemented at a computing device. A virtual machine is executed in the computing device. The method includes: in response to a target virtual device receiving a data read/write request, writing, into a shared memory, target data comprised in the data read/write request, the target virtual device being a virtual device in the virtual machine; sending an interrupt instruction to a target physical processor in the computing device through a pass-through register corresponding to the target virtual device, the interrupt instruction being used by the target physical processor to acquire the target data from the shared memory according to the interrupt instruction, and inform, based on the target data, a corresponding back-end service program to process the data read/write request.

METHOD FOR CO-SIMULATION, COMPUTER SYSTEM
20240411623 · 2024-12-12 ·

A computer-implemented method for the simulation of a process by co-simulation by coupling more than one simulation model processing a sub-system as a component of the simulation. The method includes communicating the co-simulation step size of enhanced simulation models from the co-simulation master to the respective enhanced simulation model via an Inter Process Communication interface via the enhanced simulation models' Functional Mock-up Units for model exchange, the co-simulation master controlling the co-simulation step size via the inter process communication interface addressing the Functional Mock-up Unit for model exchange using DoStep-semantic instructions, the Functional Mock-up Unit for model exchange triggering event handling calls of the enhanced simulation model by notifying events to the enhanced simulation model initiated by the DoStep-semantic instructions received from the Inter Process Communication interface such that the co-simulation master controls or synchronizes the enhanced simulation model executions by using model exchange events.

MULTICAST MESSAGE FILTERING IN VIRTUAL ENVIRONMENTS

Various systems, processes, and products may be used to filter multicast messages in virtual environments. In particular implementations, a system, process, and product for filtering multicast messages in virtual environments may include the ability to, responsive to receiving a multicast message including a destination address, examine a local filtering store of the network adapter for a multicast filtering address matching the destination address. The message is sent to respective virtual machines if the destination address matches the multicast filtering address found in the local filtering store for the respective virtual machines. Responsive to determining that the destination address does not match any multicast filtering address found in the local filtering store, a determination is made whether the local filtering store is full and, if so, the multicast message is dropped.

Window grouping

A framework is provided for obtaining window information. The window information can be applied to different assignment models to assign windows to different groups. A group may correspond to a task being performed by a user. The window information can be semantic or temporal information captured as window events and properties of windows whose events are captured. Temporal information can be information about switches between windows. Semantic information can be window titles. Temporal information, semantic information, or both, can be used to assign windows to groups.

Configurable address decoder

An address decoder for a system is disclosed that can be used for different source nodes in the system. Each address decoder can be configured to perform a plurality of decode methods that can be customized for each source node. A first decode method can be used to determine a target node from a plurality of target nodes based on a destination address of the transaction. A second decode method can be used to assign a dedicated target node as the target node irrespective of the destination address of the transaction. The second decode method can be used to route the transaction to the dedicated target node for testing and verification operations.

MULTICASTING OF EVENT NOTIFICATIONS USING EXTENDED SOCKET FOR INTER-PROCESS COMMUNICATION
20170097858 · 2017-04-06 ·

A system is provided for multicasting an event notification from an event producer to multiple event listeners, where the event producer and event listeners exist within a computer operating system having a user space, a kernel space, a device space, and an event protocol handler located in the kernel space. The system generates an event indication from an event producer located in the user space, kernel space, or device space, and receiving the event indication in the event protocol handler and generating an event notification. The event producer and the event listeners interface with the event protocol handler to send the event indication and receive the event notification. The event listeners may be located in the user space, kernel space, or device space.

System and method of providing inter-application communications

A method of operating an operating system for providing inter-application communications between a publisher application and a subscriber application. The method includes receiving a publication request from the publisher application at an operating system, receiving a subscriber application from the subscriber application at the operating system, performing an operating system based event brokering procedure based on the publication request and the subscription request, and publishing an event based on the procedure.

WINDOW GROUPING

A framework is provided for obtaining window information. The window information can be applied to different assignment models to assign windows to different groups. A group may correspond to a task being performed by a user. The window information can be semantic or temporal information captured as window events and properties of windows whose events are captured. Temporal information can be information about switches between windows. Semantic information can be window titles. Temporal information, semantic information, or both, can be used to assign windows to groups.

SCHEDULING APPARATUS AND METHOD, AND RELATED DEVICE

This disclosure provides a scheduling apparatus and method, and a related device. The scheduling apparatus includes a dispatcher coupled to an execution apparatus. The dispatcher includes a plurality of first buffers, each of the plurality of first buffers is configured to cache target tasks of one task type, the target tasks include a thread subtask and a cache management operation task, and the cache management operation task indicates to perform a cache management operation on input data or output data of the thread subtask. The dispatcher is configured to: receive a plurality of first target tasks, and cache the plurality of first target tasks in the plurality of first buffers based on task types; and dispatch a plurality of second target tasks to the execution apparatus.

COMPUTING APPARATUS AND METHOD FOR EXECUTING CONVOLUTION OPERATION, AND RELATED PRODUCTS

A computing apparatus, a method of performing a convolution operation utilizing the computing apparatus, and related products are described. The computing apparatus is included in a combined processing apparatus. The combined processing apparatus further includes an interface apparatus and other processing apparatus. The computing apparatus interacts with other processing apparatus to jointly complete a user specified computation operation. The combined processing apparatus further includes a storage apparatus. The storage apparatus is connected to the computing apparatus and other processing apparatus, respectively. The storage apparatus is used to store data of the computing apparatus and other processing apparatus. The described techniques optimize the convolution operation to improve data reuse efficiency, thereby improving computational processing efficiency.