A method for automatically migrating infrastructure as code (IaC) from a first cloud infrastructure platform to a second cloud infrastructure platform is provided. The method may include receiving an original IaC comprising a first type of coding language. The method may further include using natural language processing to map a connection between the first type of coding language and a second type of coding language. The method may further include based on the mapped connection, using the NLP to automatically generate a partial translation of the first type of coding language to the second type of coding language. The method may further include using a machine learning algorithm to correct at least one inaccuracy in the partial translation. The method may further include generating a complete translation and implementing a second IaC on the second cloud infrastructure platform based on the complete translation.

A method for automatically migrating infrastructure as code (IaC) from a first cloud infrastructure platform to a second cloud infrastructure platform is provided. The method may include receiving an original IaC comprising a first type of coding language. The method may further include using natural language processing to map a connection between the first type of coding language and a second type of coding language. The method may further include based on the mapped connection, using the NLP to automatically generate a partial translation of the first type of coding language to the second type of coding language. The method may further include using a machine learning algorithm to correct at least one inaccuracy in the partial translation. The method may further include generating a complete translation and implementing a second IaC on the second cloud infrastructure platform based on the complete translation.

A compiler, for generating machine code to be executed in a chip including a plurality of distributed memories connected by a tree structure topology, includes at least one memory and at least one processor. The at least one processor is configured to associate each element of a tensor to be processed with an address in the plurality of memories included in the chip, based on a stride and a number of divisions in a predetermined hierarchy of the tree structure with respect to the tensor to be processed.

A compiler, for generating machine code to be executed in a chip including a plurality of distributed memories connected by a tree structure topology, includes at least one memory and at least one processor. The at least one processor is configured to associate each element of a tensor to be processed with an address in the plurality of memories included in the chip, based on a stride and a number of divisions in a predetermined hierarchy of the tree structure with respect to the tensor to be processed.

A Quantum Instruction Set Architecture (QUASAR) for quantum control processors, and a method which provides an interface for rapid and consistent development for controlling quantum computing systems which have different quantum computer chips and associated low-level control hardware. The method includes compiling a source program; decoding instructions by checking the opcode and determining whether said instruction is a single-qubit gate operation, a two-qubit gate operation, a measurement operation or a timing control operation; determining if each instruction is an immediate or register-based operation; decoding each specific instruction to generate machine code and/or netlists for execution by a quantum control unit configured for controlling a quantum computer chip and its associated low-level control hardware.

A Quantum Instruction Set Architecture (QUASAR) for quantum control processors, and a method which provides an interface for rapid and consistent development for controlling quantum computing systems which have different quantum computer chips and associated low-level control hardware. The method includes compiling a source program; decoding instructions by checking the opcode and determining whether said instruction is a single-qubit gate operation, a two-qubit gate operation, a measurement operation or a timing control operation; determining if each instruction is an immediate or register-based operation; decoding each specific instruction to generate machine code and/or netlists for execution by a quantum control unit configured for controlling a quantum computer chip and its associated low-level control hardware.

A process includes receiving a table data set that represents mappings between a plurality of operand patterns indicating types of operands possibly included in a first instruction used in a first assembly language and a plurality of second instructions used in a second assembly language or a machine language corresponding to the second assembly language. The table data set maps two or more of the second instructions to each of the operand patterns. The process also includes generating, based on the table data set, a translation program used to translate first code written in the first assembly language into second code written in the second assembly language or the machine language. The translation program defines a process of determining an operand pattern of an instruction included in the first code and outputting two or more instructions of the second code according to the determined operand pattern.

Language interoperability between source code programs not compatible with an interprocedural static code analyzer is achieved through language-independent representations of the programs. The source code programs are transformed into respective intermediate language instructions from which a language-independent control flow graph and a language-independent type environment is created. A program compatible with the interprocedural static code analyzer is generated from the language-independent control flow graph and the language-independent type environment in order to utilize the interprocedural static code analyzer to detect memory safety faults.

A computer-implemented method and system for reducing the amount of memory space required to store applications written in dynamic scripting languages loads a program module into memory and removes a category of program code, such as debug information or function definitions, from the program module. The method and system also receives a request for debug information, or a function call or query, and determines whether or not the corresponding program code is in memory. If not, then the location in storage is identified where the program module is stored, and another copy containing the corresponding program code is loaded into memory. The corresponding program code is located and copied into the program module in memory, and a response is provided to the request.

A computer-implemented method and system for reducing the amount of memory space required to store applications written in dynamic scripting languages loads a program module into memory and removes a category of program code, such as debug information or function definitions, from the program module. The method and system also receives a request for debug information, or a function call or query, and determines whether or not the corresponding program code is in memory. If not, then the location in storage is identified where the program module is stored, and another copy containing the corresponding program code is loaded into memory. The corresponding program code is located and copied into the program module in memory, and a response is provided to the request.