Methods, apparatus, systems, and articles of manufacture are disclosed to aggregate telemetry data in an edge environment. An example apparatus includes at least one processor, and memory including instructions that, when executed, cause the at least one processor to at least generate a composition for an edge service in the edge environment, the composition representative of a first interface to obtain the telemetry data, the telemetry data associated with resources of the edge service and including a performance metric, generate a resource object based on the performance metric, generate a telemetry object based on the performance metric, and generate a telemetry executable based on the composition, the composition including at least one of the resource object or the telemetry object, the telemetry executable to generate the telemetry data in response to the edge service executing a computing task distributed to the edge service based on the telemetry data.

A method includes receiving, by a level two (L2) controller, a first request for a cache line in a shared cache coherence state; mapping, by the L2 controller, the first request to a second request for a cache line in an exclusive cache coherence state; and responding, by the L2 controller, to the second request.

In an embodiment, a system includes a plurality of memory components and a processing device that is operatively coupled with the plurality of memory components. The processing device includes a host interface, an access management component, a media management component (MMC), and an MMC-restart manager that is configured to perform operations including detecting a triggering event for restarting the MMC, and responsively performing MMC-restart operations that include suspending operation of the access management component; determining whether the MMC is operating, and if so then suspending operation of the MMC; resetting the MMC; resuming operation of the MMC; and resuming operation of the access management component.

Techniques for accessing off-heap memory are disclosed. The system may receive a memory segment layout definition for a memory segment in a physical memory of a machine. The memory segment layout definition defines a number of elements and a number of sub-elements in each element of the plurality of elements. The system may allocate the particular memory segment in the physical memory and may store a reference to a position of a sub-element. The system may receive a request to access a first sub-element of a particular element of the plurality of elements. Based on the request, the system may identify the memory segment corresponding to the plurality of elements, identify the particular element of the plurality of elements, identify the first sub-element of the plurality of elements based the position of the first sub-element, and execute an Input or Output (IO) operation corresponding to the request.

The present disclosure relates to a method and a terminal device for executing an application chain. The method includes: acquiring a current application to be executed from an application chain; and executing the current application by determining an execution action according to an executable content type of the current application and an execution result of a preceding application executed before the current application. When executing an application chain comprised of multiple applications, the method provides executing the current application by determining the execution action according to the executable content type of the current application and the execution result of the preceding application, such that the resources of execution the application may be used mutually among all the applications in the application chain, thus providing fast and intelligent operation.

A multi-process interactive system is described. The system includes numerous processes running on a processing device. The processes include separable program execution contexts of application programs, such that each application program comprises at least one process. The system translates events of each process into data capsules. A data capsule includes an application-independent representation of event data of an event and state information of the process originating the content of the data capsule. The system transfers the data messages into pools or repositories. Each process operates as a recognizing process, where the recognizing process recognizes in the pools data capsules comprising content that corresponds to an interactive function of the recognizing process and/or an identification of the recognizing process. The recognizing process retrieves recognized data capsules from the pools and executes processing appropriate to contents of the recognized data capsules.

Embodiments of the present disclosure relate to a broadcast control method and apparatus, and a terminal device. The method includes: when the one or more application programs run on a background and meet a first preset condition, sending a first control instruction; and when the first control instruction is received, freezing and buffering a broadcast to be sent to the one or more application programs.

Technologies for dividing work across one or more accelerator devices include a compute device. The compute device is to determine a configuration of each of multiple accelerator devices of the compute device, receive a job to be accelerated from a requester device remote from the compute device, and divide the job into multiple tasks for a parallelization of the multiple tasks among the one or more accelerator devices, as a function of a job analysis of the job and the configuration of each accelerator device. The compute engine is further to schedule the tasks to the one or more accelerator devices based on the job analysis and execute the tasks on the one or more accelerator devices for the parallelization of the multiple tasks to obtain an output of the job.

A convolution acceleration and computing processing method includes: reading data to be processed of a preset size in a task to be processed from an off-chip memory of an accelerator sequentially through a FIFO port, and storing the data to be processed into at least one input buffer of a first buffer in an on-chip memory of the accelerator; responsive to data to be processed being stored into an input buffer, reading input window data to be processed from the at least one input buffer sequentially, performing convolution on the input window data to be processed by using the convolution kernel data to obtain output window data and storing the output window data in the third buffer; and storing the output window data in the third buffer into the off-chip memory sequentially through the FIFO port.

In the embodiments described herein, a malicious code detection module identifies potentially malicious instructions in volatile memory of a computing device before the instructions are executed. The malicious code detection module identifies an executable file, such as an .exe file, in memory, validates one or more components of the executable file against the same file stored in non-volatile storage, and issues an alert if the validation fails.