A system for distributed device event handler configuration includes an event handler configuration server, including: a processor, a non-transitory memory, an input/output component, a visual program editor, a logical event model, and a device communicator; event management devices, each including: a hardware layer/operating system, a logical event mapping, a target compiler, a program executor; such that a configuration user can edit an event handling program, comprising event handlers, which handle device events on the event management devices; such that an event management device executes an event handler, when the event management device detects a device event, which corresponds with the event handler. Also disclosed is a method for distributed device event handler configuration, including editing an event handling program, updating devices, detecting a device event, and executing an event handler.

Using a common reference address when processing calls between a native application binary interface (ABI) and a foreign ABI. Based on a caller calling using a reference address, a lookup structure is used to determine whether the reference address is within a memory range storing native code and that the callee is native, or a memory range not storing native code and that the callee is foreign. Execution of a callee is initiated based on one of (i) calling the callee using the reference address within an emulator when the caller is native and the callee is foreign; (ii) calling an entry thunk when the caller is foreign and the callee is native; (iii) calling an exit thunk when the caller is native and the callee is foreign; or (iv) directly calling the callee using the reference address when the caller is native and the callee is native.

Provided are a computer program product, system, and method for generating and deploying code files compiled on build machines. Source code is maintained at a deployment system. Commands are sent to build machines to compile the source code into object code. The build machines have different operating systems to compile the object code. The deployment system stores the object code for each build machine in an object code file directory to provide executable object code for an operating system installed at the build machine. Different object code file directories are maintained for the object code compiled by the build machines having different operating systems. Access is provided to the object code in the object code file directories to run-time machines. Each run-time machine accesses the object code file directory in the deployment system having the object code compiled for an operating system version deployed on the run-time machine.

A multi-process model to support compiling applications for multiple platforms is described. In one embodiment, applications designed for execution on a mobile platform can be ported to and/or compiled for execution on a desktop/laptop platform without requiring modification of the core program code of the mobile application. The mobile application is executed using a multi-process (e.g., two or more process) model in which the core mobile application program generates content that is displayed by a host process. The host process enables automatic translation of program calls to generate mobile user interface elements into program calls that generate user interface elements of the host platform. The translation can be performed using a multi-process (e.g., two or more process) model in which the core application program generates content that is displayed by a host process.

A method for implementing application program installation by cloud compilation includes sending, by a terminal device, hardware configuration information of the terminal device and version information of a target application program to an application market server, receiving, by the terminal device from the application market server, the upgrade information of the target application program, and performing, by the terminal device, optimized installation of the target application program according to the upgrade information to update a version of the target application program.

Embodiments described herein provide for a multi-process model to support compiling applications for multiple platforms. In one embodiment, applications designed for execution on a mobile platform can be ported to and/or compiled for execution on a desktop/laptop platform without requiring modification of the core program code of the mobile application. The mobile application is executed using a multi-process (e.g., two or more process) model in which the core mobile application program generates content that is displayed by a host process. The host process enables automatic translation of program calls to generate mobile user interface elements into program calls that generate user interface elements of the host platform. The translation can be performed using a multi-process (e.g., two or more process) model in which the core application program generates content that is displayed by a host process.

The disclosure invention provides a method for executing a program compiled for a source architecture on a machine having a different target architecture, a non-transitory computer readable medium configured to store instructions for performing such a method, and a system for performing such a method.

This document discloses a solution for detecting, by a computer apparatus, computer program library in a binary computer program code. A method according to an embodiment of the solution comprises in the computer apparatus: acquiring a reference computer program library file in a binary form; and determining at least one signature set of binary data from a read-only section of the reference computer program library, wherein the at least one signature set of binary data is determined to contain constant binary data that is unique to the reference computer program library; the method further comprising a testing phase comprising: acquiring binary computer program code and at least one signature set of binary data associated with each reference computer program library to be searched for; searching the binary computer program code for said at least one signature set of binary data; and upon determining that a signature set of binary data has been detected in the binary computer program code, determining that the binary computer program code comprises the computer program library associated with the detected signature set of binary data.

In a method for distributing digital signal processing (DSP) code, DSP source code is received at an application programme interface (API), the DSP source code being written in a first programming language. The DSP source code is translated into an intermediate representation (IR), wherein the IR comprises a directed-graph (di-graph) representation of the DSP source code, the di-graph comprising a plurality of nodes and connections, where each node comprises a DSP program for performing a signal processing task. A target device which advertises its ability to execute the IR is detected. The IR is transmitted to the detected target device for execution.

Examples herein describe techniques for generating dataflow graphs using source code for defining kernels and communication links between those kernels. In one embodiment, the graph is formed using nodes (e.g., kernels) which are communicatively coupled by edges (e.g., the communication links between the kernels). A compiler converts the source code into a bit stream and/or binary code which configure a heterogeneous processing system of a SoC to execute the graph. The compiler uses the graph expressed in source code to determine where to assign the kernels in the heterogeneous processing system. Further, the compiler can select the specific communication techniques to establish the communication links between the kernels and whether synchronization should be used in a communication link. Thus, the programmer can express the dataflow graph at a high-level (using source code) without understanding about how the operator graph is implemented using the heterogeneous hardware in the SoC.