An apparatus to facilitate exception handling for debugging in a graphics environment is disclosed. The apparatus includes load store pipeline hardware circuitry to: in response to a page fault exception being enabled for a memory access request received from a thread of the plurality of threads, allocate a memory dependency token correlated to a scoreboard identifier (SBID) that is included with the memory access request; send, to memory fabric of the graphics processor, the memory access request comprising the memory dependency token; receive, from the memory fabric in response to the memory access request, a memory access response comprising the memory dependency token and indicating occurrence of a page fault error condition and fault details associated with the page fault error condition; and return the SBID associated with the memory access response and fault details of the page fault error condition to a debug register of the thread.

A cloud-based computing system is provided that includes a payments platform for integrating synchronous payment gateway services with a cloud computing platform so that clients of the cloud computing platform can perform payment transactions with customers via the cloud computing platform. The synchronous payment gateways that include a particular synchronous payment gateway. The cloud computing platform can include a multitenant database system that provides applications and services to a plurality of clients, and a payments platform module. Each client can be, for example, a tenant or organization of the cloud computing platform that transacts business with one or more customers via a synchronous payment gateway. The payments platform module has a pluggable architecture for integrating payment gateway adapters with the cloud computing platform.

Examples described herein generally relate to processing event logs where, for each of multiple events in an event log of the one or more event logs, a table of logged event instances can be generated for the event. For each of the multiple events, the table can be processed using an autoencoder to identify one or more of the logged event instances as anomalies, and an indication of at least a portion of the anomalies can be output. In addition, the event logs and/or corresponding tables of events can be used to train models for the autoencoders.

A system to integrate data from one application to another application is disclosed. The plurality of subsystems includes a user command capturing subsystem, configured to capture commands from a user. The plurality of subsystems includes an application integration subsystem, configured to analyse the captured commands of the user corresponding to the source application and the target application based on a set of parameters. The application integration subsystem obtains a source response and a target response and extract source application attributes and target application attributes. The plurality of subsystems includes an application attribute mapping subsystem, configured to generate an application attribute map from the source application attributes and the target application attributes by implementation of artificial intelligence-based Natural Language Processing (NLP). The application attribute mapping subsystem establishes a data transmission channel between the source application and the target application and transmit data through the data transmission channel.

Remote access for debugging or profiling a remotely executing neural network graph can be performed by a client using an in-band application programming interface (API). The client can provide indicator flags for debugging or profiling in an inference request sent to a remote server computer executing the neural network graph using the API. The remote server computer can collect metadata for debugging or profiling during the inference operation using the neural network graph and send it back to the client using the same API. Additionally, the metadata can be collected at various granularity levels also specified in the inference request.

A fault management system for functional safety of an automotive grade chip includes: an out-of-chip system and an automotive-grade chip, where the automotive-grade chip includes a processor, a system controller, a system configuration module, a fault management device, and an on-chip function module; and the fault management device is configured with a fault classification management model.

A set command is issued to transfer a diagnostic parameter record to a communication component of the computing environment. The diagnostic parameter record specifies a diagnostic action to be taken by the communication component to obtain diagnostic information and specifies a version of the diagnostic information to be obtained. Based, in part, on issuing the set command, the diagnostic information is obtained. The version of the diagnostic information obtained is the version specified, based on the version specified being supported by the communication component.

In some examples, a method for performing an out-of-band security inspection of a device comprises generating a snapshot of the state of the device, storing data representing the snapshot to a non-volatile storage of the device, and storing a hash of the snapshot in a device BIOS, transitioning the power state of the device, triggering boot of a trusted diskless operating system image, providing the data representing the snapshot and the hash of the snapshot to the trusted diskless operating system image, and executing a script selected on the basis of a trigger event and the hash of the snapshot to analyse at least a portion of the non-volatile storage of the device.

A computer of a resource monitoring system is configured to execute an application for analyzing an operation of an industrial device. A use status acquisition module is configured to acquire a use status of a resource of the computer by the application. A display control module is configured to display the use status on a resource monitoring screen.

A system and method for determining automated uptime of internet-based software may include one or more memories storing check suites, each check suite including an ordered sequence of a plurality of checks corresponding to an execution flow of an ordered sequence of functions of the internet-based software; and one or more processors configured to determine a total amount of down time for a monitoring period by: during each time interval of the monitoring period, performing each of the plurality of check suites on the internet-based software, and applying at least one weighing factor to results of performing each of the plurality of check suites.