Disclosed are systems and methods for providing a hybrid mobile application. The method may include: receiving specification of at least one feature of a mobile application. The mobile application may be specific to a first programming platform. The method may further include generating the at least one feature based on the specification. The at least one feature may be written in a programming language specific to a second programming platform, and the second programming platform may be different from the first programming platform. The method may also include compiling a programming wrapper based on the at least one feature of the mobile application, combining the at least one feature and the programming wrapper into a programming component, packaging the programming component into the mobile application, and distributing the mobile application in a repository of the first programming platform.

A driver configuration management method may be applied to a management device and includes determining target information, where the target information is used to represent a computing capability of an electronic device; converting, based on the target information, a configuration source file into a target configuration file that uses a target file format; and sending the target configuration file to the electronic device. The method may be applied to a scenario in which the management device generates and sends configuration files in different formats for electronic devices having different computing capabilities.

A method and a system for programming one or more behavior of a field device connected to a network comprising an input programming language to define the one or more behaviors to create an input program, transmitting over the network the input program to a translator coupled to the field device, translating the input program to generate a field program comprising a plurality of tasks and executing said field program by an executor coupled to said field device.

A machine learning (ML) based code transformation system that transforms a source programming code developed using a source library for execution on a source platform into remediated code for execution on a target platform is disclosed. Metadata extracted from the source programming code is used to detect the source programming language, source libraries, and the source platform. The metadata also enables modularizing the source programming code based on the functionality and identifying a node from a plurality of nodes in a communication network to execute the various source code modules. A similarity map is generated mapping the source libraries to the target libraries and the source code modules that are incompatible with the target platform are identified and remediated with similar target code modules using the similarity map.

A method and an apparatus that schedule a plurality of executables in a schedule queue for execution in one or more physical compute devices such as CPUs or GPUs concurrently are described. One or more executables are compiled online from a source having an existing executable for a type of physical compute devices different from the one or more physical compute devices. Dependency relations among elements corresponding to scheduled executables are determined to select an executable to be executed by a plurality of threads concurrently in more than one of the physical compute devices. A thread initialized for executing an executable in a GPU of the physical compute devices are initialized for execution in another CPU of the physical compute devices if the GPU is busy with graphics processing threads. Sources and existing executables for an API function are stored in an API library to execute a plurality of executables in a plurality of physical compute devices, including the existing executables and online compiled executables from the sources.

The present disclosure is directed to systems and methods for mitigating or eliminating the effectiveness of a side-channel based attack, such as one or more classes of an attack commonly known as Spectre. Novel instruction prefixes, and in certain embodiments one or more corresponding instruction prefix parameters, may be provided to enforce a serialized order of execution for particular instructions without serializing an entire instruction flow, thereby improving performance and mitigation reliability over existing solutions. In addition, improved mitigation of such attacks is provided by randomizing both the execution branch history as well as the source address of each vulnerable indirect branch, thereby eliminating the conditions required for such attacks.

The subject technology provides for parsing a line of code in a project of an integrated development environment (IDE). The subject technology executes indirectly, using the interpreter, the parsed line of code. The interpreter references a translated source code document generated by a source code translation component from a machine learning (ML) document written in a particular data format. The translated source code document includes code in a chosen programming language specific to the IDE, and the code of the translated source code document is executable by the interpreter. Further the subject technology provides, by the interpreter, an output of the executed parsed line of code.

None of the existing quantum programming languages provide specialized support for programming patterns such as conditional-adjoint or adjoint-via-conjugation. As a result, compilers of these languages fail to exploit the optimization opportunities mentioned in this disclosure. Further, none of the available quantum programming languages provide support for automatic translation of circuits using clean qubits to circuits that use idle qubits. Thus, the resulting circuits oftentimes use more qubits than would be required. Embodiments of the disclosed technology, thus allow one to run said circuits on smaller quantum devices. Previous multiplication circuits make use of (expensive) controlled additions. Embodiments of the disclosed technology employ multipliers that work using conditional-adjoint additions, which are cheaper to implement on both near-term and large-scale quantum hardware. The savings lie between 1.5 and 2× in circuit depth for large number of qubits.

Methods, systems, and computer-readable media for automated code generation using analysis of design diagrams are disclosed. A diagram-to-code system determines one or more security properties of a plurality of components associated with a software product. Relationships between the components are indicated in a software design diagram. At least some of the security properties are determined using input to a user interface. The diagram-to-code system generates one or more secure code packages based (at least in part) on the software design diagram and the one or more security properties. The secure code package(s) implement one or more security controls associated with the software product. The secure code package(s) are provided to a developer. The secure code package(s) and additional program code from the developer are compiled into a compiled software product. Execution of the compiled software product mitigates security vulnerabilities using the one or more security controls.

A computer-implemented method for generating linker code for generation process of executable code for a processing unit from a source code, in particular in a control unit of a vehicle. The control unit includes at least one memory unit each including at least one memory area in each case, and a processor unit including at least one processor core. As a function of predefined pieces of information relating to the memory areas of the processing unit, a predefined configuration of the existing memory areas as to which applications are assigned to which memory areas, and a predefined configuration of the macros which describe accesses of applications to memory areas according to specific properties, data arrays are generated, according to which an initialization of the memory areas takes place.