Abstract: In an embodiment, information for use in identifying a plurality of sub-solvers may be acquired. The plurality of sub-solvers may be used in a first attempt to find at least one solution to a problem that may be defined in the acquired information. At least two of the sub-solvers in the plurality of sub-solvers may be of different sub-solver types. The sub-solvers may be identified based on the acquired information. One or more starting points for the identified sub-solvers may be identified and transferred to the identified sub-solvers. One or more outputs, that indicate one or more results associated with the first attempt to find at least one solution to the problem, may be acquired from the identified sub-solvers. One or more sub-solvers may be identified, based on the acquired one or more outputs, for use in a second attempt to find at least one solution to the problem.

Abstract: A method and system is disclosed for providing a distributed technical computing environment for distributing technical computing tasks from a technical computing client to technical computing workers for execution of the tasks on one or more computers systems. Tasks can be defined on a technical computing client, and the tasks organized into jobs. The technical computing client can directly distribute tasks to one or more technical computing workers. Furthermore, the technical computing client can submit tasks, or jobs comprising tasks, to an automatic task distribution mechanism that distributes the tasks automatically to one or more technical computing workers providing technical computing services. The technical computing worker performs technical computing of tasks and the results of the execution of tasks may be provided to the technical computing client.

Abstract: A device may obtain first program code, and may cause the first program code to be executed. The device may determine a first execution state generated based on causing the first program code to be executed. The device may store the first execution state. The device may obtain second program code that includes a modification to the first program code, and may cause the second program code to be executed. The device may determine a second execution state generated based on causing the second program code to be executed. The device may store the second execution state. The device may receive an indication to restore the first execution state, and may restore the first execution state based on receiving the indication.

Abstract: In an embodiment, a computer-readable medium may include computer-executable instructions for dynamic symbolic math engine selection. The instructions, when executed by a processor, may cause the processor to: dynamically select a first symbolic math engine from two or more symbolic math engines; convert a first symbolic command from a standard format into a first format compatible with the first symbolic math engine; pass the first converted command to the first symbolic math engine for executing; receive an error from the first symbolic math engine from executing the first converted command; convert the first symbolic command from the standard format into a second format compatible with a second symbolic math engine based on the error received from first symbolic math engine, wherein the second symbolic math engine is selected from the two or more symbolic math engines; and pass the second converted command to the second symbolic math engine for executing.

Abstract: A computing device-implemented method includes receiving a program, analyzing and transforming the program, determining an inner context and an outer context of the program based on the analysis of the program, and allocating one or more portions of the inner context of the program to two or more labs for parallel execution. The method also includes receiving one or more results associated with the parallel execution of the one or more portions from the two or more labs, and providing the one or more results to the outer context of the program.

Abstract: One or more computer-readable media store executable instructions that, when executed by processing logic, perform parallel processing. The media store one or more instructions for initiating a single programming language, and identifying, via the single programming language, one or more data distribution schemes for executing a program. The media also store one or more instructions for transforming, via the single programming language, the program into a parallel program with an optimum data distribution scheme selected from the one or more identified data distribution schemes, and allocating the parallel program to two or more labs for parallel execution. The media further store one or more instructions for receiving one or more results associated with the parallel execution of the parallel program from the two or more labs, and providing the one or more results to the program.

Abstract: A computing device-implemented method includes receiving a program created by a technical computing environment, analyzing the program, generating multiple program portions based on the analysis of the program, dynamically allocating the multiple program portions to multiple software units of execution for parallel programming, receiving multiple results associated with the multiple program portions from the multiple software units of execution, and providing the multiple results or a single result to the program.

Abstract: In an embodiment, a computer-readable medium may include computer-executable instructions for selecting a symbolic math engine. The instructions may be executed on a processor. The medium may include: one or more instructions for dynamically selecting a first symbolic math engine from two or more symbolic math engines; one or more instructions for converting a symbolic command from a standard format into a first format compatible with the first symbolic math engine; one or more instructions for passing the converted command to the first symbolic math engine for executing, the executing including producing a result; and one or more instructions for outputting or storing the result of the executing.

Abstract: A computing device-implemented method includes receiving a program, analyzing and transforming the program, determining an inner context and an outer context of the program based on the analysis of the program, and allocating one or more portions of the inner context of the program to two or more labs for parallel execution. The method also includes receiving one or more results associated with the parallel execution of the one or more portions from the two or more labs, and providing the one or more results to the outer context of the program.

Abstract: One or more computer-readable media store executable instructions that, when executed by processing logic, perform parallel processing. The media store one or more instructions for initiating a single programming language, and identifying, via the single programming language, one or more data distribution schemes for executing a program. The media also store one or more instructions for transforming, via the single programming language, the program into a parallel program with an optimum data distribution scheme selected from the one or more identified data distribution schemes, and allocating the parallel program to two or more labs for parallel execution. The media further store one or more instructions for receiving one or more results associated with the parallel execution of the parallel program from the two or more labs, and providing the one or more results to the program.

Abstract: A device, for performing parallel processing, includes a processor to receive one or more portions of an inner context of a program created for a technical computing environment, and allocate one or more portions of the inner context of the program to two or more labs for parallel execution. The processor is also configured to receive one or more results associated with the parallel execution of the one or more portions from the two or more labs, and provide the one or more results to an outer context of the program.

Abstract: One or more computer-readable media store executable instructions that, when executed by processing logic, perform parallel processing. The media store one or more instructions for initiating a single programming language, and identifying, via the single programming language, one or more data distribution schemes for executing a program. The media also store one or more instructions for transforming, via the single programming language, the program into a parallel program with an optimum data distribution scheme selected from the one or more identified data distribution schemes, and allocating the parallel program to two or more labs for parallel execution. The media further store one or more instructions for receiving one or more results associated with the parallel execution of the parallel program from the two or more labs, and providing the one or more results to the program.

Abstract: A computing device-implemented method includes initiating a single programming language, and identifying, via the single programming language, one or more data distribution schemes for executing a program. The method also includes transforming, via the single programming language, the program into a parallel program with an optimum data distribution scheme selected from the one or more identified data distribution schemes, and allocating the parallel program to two or more labs for parallel execution. The method further includes receiving one or more results associated with the parallel execution of the parallel program from the two or more labs, and providing the one or more results to the program.

Abstract: A computing device-implemented method includes receiving a program, analyzing and transforming the program, determining an inner context and an outer context of the program based on the analysis of the program, and allocating one or more portions of the inner context of the program to two or more labs for parallel execution. The method also includes receiving one or more results associated with the parallel execution of the one or more portions from the two or more labs, and providing the one or more results to the outer context of the program.

Abstract: One or more computer-readable media store executable instructions that, when executed by processing logic, perform parallel processing. The media store one or more instructions for receiving one or more portions of an inner context of a program created for a technical computing environment, allocating one or more portions of the inner context of the program to two or more labs for parallel execution, receiving one or more results associated with the parallel execution of the one or more portions from the two or more labs, and providing the one or more results to an outer context of the program.

Abstract: A device for performing parallel processing includes a processor to initiate a single programming language, and identify, via the single programming language, one or more data distribution schemes for executing a program. The processor also transforms, via the single programming language, the program into a parallel program with an optimum data distribution scheme selected from the one or more identified data distribution schemes, and allocates the parallel program to two or more labs for parallel execution. The processor further receives one or more results associated with the parallel execution of the parallel program from the two or more labs, and provides the one or more results to the program.

Abstract: A computing system receives a program created by a technical computing environment, analyzes the program, generates multiple program portions based on the analysis of the program, dynamically allocates the multiple program portions to multiple software units of execution for parallel programming, receives multiple results associated with the multiple program portions from the multiple software units of execution, and provides the multiple results or a single result to the program.

Abstract: A computing device-implemented method includes receiving a program created by a technical computing environment, analyzing the program, generating multiple program portions based on the analysis of the program, dynamically allocating the multiple program portions to multiple software units of execution for parallel programming, receiving multiple results associated with the multiple program portions from the multiple software units of execution, and providing the multiple results or a single result to the program.

Abstract: A computing device-implemented method includes receiving a program created by a technical computing environment, analyzing the program, generating multiple program portions based on the analysis of the program, dynamically allocating the multiple program portions to multiple software units of execution for parallel programming, receiving multiple results associated with the multiple program portions from the multiple software units of execution, and providing the multiple results or a single result to the program.

Abstract: A computing device-implemented method includes initiating a single programming language, and identifying, via the single programming language, one or more data distribution schemes for executing a program. The method also includes transforming, via the single programming language, the program into a parallel program with an optimum data distribution scheme selected from the one or more identified data distribution schemes, and allocating the parallel program to two or more labs for parallel execution. The method further includes receiving one or more results associated with the parallel execution of the parallel program from the two or more labs, and providing the one or more results to the program.