Systems, methods, and other embodiments associated with deploying application packages are described. In one embodiment, a current version of an application package is stored. An enterprise server deploys the current version. Upon a first user signing on to the enterprise server, providing the first user with access to the current version. A modified version of an application package is stored and deployed. Upon a second user signing on to the enterprise server, providing the second user with access to the modified version. The current version and the modified version are simultaneously active on the enterprise server. Subsequent users that sign on are only given access to the modified version and are not permitted access to the current version. Upon the first user signing out, deleting the current version, and causing the modified version to become a new current version.

Embodiments of the present disclosure relate to applications and platforms for configuring machine learning models for training and deployment using graphical components in a development environment. For example, systems and methods are disclosed that relate to determining one or more machine learning models and one or more processing operations corresponding to the one or more machine learning models. Further, a model component may be generated using the one or more machine learning models, the one or more processing operations, and one or more extension libraries in which the one or more extension libraries indicate one or more deployment parameters related to the one or more machine learning models. The model component may accordingly provide data that may be used to be able to use and deploy the one or more machine learning models.

A method, a system, and computer program product for application function library installation for cloud-based systems. An application function in a plurality of application functions is executed. The application function is executed using a server instance running in a container. A determination is made that execution of the application function requires an application function library. The application function library for executing of the application function is obtained. The obtained application function library is loaded during runtime of the application function.

Methods and systems for accessing conflicting frameworks and classes are presented. In some embodiments, a conflicting frameworks computing platform may receive an application classloader corresponding to a mobile application. The application classloader may indicate one or more child application-defined classloaders. Subsequently, the conflicting frameworks computing platform may create a framework-defined classloader comprising a first class that conflicts with a second class in the one or more child application-defined classloaders. Further, the conflicting frameworks computing platform may create a framework-termination classloader. The framework-termination classloader may be a parent classloader of the framework-defined classloader. Next, the conflicting frameworks computing platform may replace, using a reflection function, the application classloader with a new application classloader. The new application classloader may indicate the one or more child application-defined classloaders, the framework-defined classloader, and the framework-termination classloader.

An approach includes the use of a description of instructions for invoking hardware accelerator and for a hardware accelerator to execute those instructions. In some embodiments, the instructions for invoking hardware accelerator and for a hardware accelerator to execute those instructions are described using a single language. These descriptions are then compiled into other languages for use in tool chains for generating simulators (a hardware and instruction set simulator and a hardware accelerator simulator). In some embodiments, the approach illustrated herein can be combined with state machine functionality to manage the execution of instructions that require multiple states. In some embodiments, the approach illustrated herein can be combined with an external register file for transferring information between a processor and a hardware accelerator.

A method, computer system, and computer program product are provided for modifying a web application at runtime. A single-page web application is loaded by a web browser of a client, wherein the single-page web application exchanges data between the client and a server. An extension for the single-page web application is obtained. The extension is applied to the single-page web application, wherein applying the extension adds a new feature, or modifies an existing feature, of the single-page web application without reloading the single-page web application.

A method includes determining that an application is a consumer of one or more records of an event streaming platform. In response to the application being a consumer of the one or more records, a schema that is associated with the one or more records of the event streaming platform can be determined. The schema can define the data structure of each of the one or more records. The method further includes generating a class that structurally conforms to the schema. During runtime, the object that is instantiated from the class may be used by the application to consume the one or more records.

Changing accelerator card images without rebooting a host system includes receiving, within an integrated circuit (IC) of an accelerator card, an address of a platform image stored in a non-volatile memory of the accelerator card. The address is received over a communication link between the host system and the accelerator card while the communication link is connected. Changing accelerator card images includes detecting, within a register of the IC, that a warm boot enable flag is set and that the communication link with the host system is disconnected. In response to detecting that the warm boot enable flag is set and that the communication link is disconnected, loading of the platform image from the address of the non-volatile memory into the integrated circuit is initiated.

A computing system is configured to execute a computer program on a server and to provide a video stream of the program output to a geographically remote client over a communication network. An add-on manager is provided to facilitate the use of add-ons to extend the functionality of the computer program. The add-on manager is responsive to commands received from the client and is configured to associate individual add-ons and add-on data with specific user accounts. The add-ons can be located on the server or some other location remote from the client.

Interaction output over a local computer-readable medium (CRM) generated based on user interaction with rendered content input representing a virtualized asset being is received at a virtualized asset local provisioning server. A manner to exploit the virtualized asset is determined from interaction output. The virtualized asset is exploited based on the determined manner to exploit the virtualized asset. A request for a portion of the virtualized asset generated in response to the exploiting the virtualized asset is intercepted. If it is determined that the portion of the virtualized asset is absent from the local storage, a request for the portion of the virtualized asset is sent to a virtualized asset delivery system over a non-local CRM; the portion of the virtualized asset retrieved by the virtualized asset delivery system is received over the non-local CRM; and the received portion of the virtualized asset is used in exploiting the virtualized asset.