The Mathworks, Inc.

Brett W Baker

Loren P Dean

Jocelyn Martin

Halldor Narfi Stefansson

Roy Lurie

Edric Mark Ellis

John Norris Little

Piotr R Luszczek

Joseph F Hicklin

Penelope Anderson

Nausheen B Moulana

William M McKeeman

Charles Gary Nylander

Ayon Basumallik

William Richard Nell

Michael Karr

John Micco

Nikolay Mateev

Rajeshwar Vanka

Hongjun Zheng

Extended types are defined for functions that are called by function handles in a programming environment. The extended types can be accessed and used by a computing system to improve compile-time and run-time performance of the computing system.

Computing performance for execution of functions called by function handles

A device receives programming code, corresponding to a dynamic programming language, that is to be executed by a computing environment, and executes the programming code. When executing the programming code, the device maintains a program counter that identifies an execution location within the programming code, and select blocks of the programming code based on the program counter. The blocks correspond to segments of the programming code, and are associated with type-based constraints that relate to types of variables that are used by the block. When executing the programming code, the device also compiles the selected blocks, caches the compiled blocks along with the type-based constraints, generates linking information between certain ones of the compiled blocks based on the type-based constraints, and executes the compiled blocks in an order based on the program counter, the type-based constraints, and the linking information.

Code generation and execution for dynamic programming languages

An exemplary embodiment provides methods, systems and mediums for executing arithmetic expressions that represent elementwise operations. An exemplary embodiment provides a computing environment in which elementwise expressions may be executed in parallel by multiple execution units. In an exemplary embodiment, multiple execution units may reside on a network.

Computation of elementwise expression in parallel

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.

Performing parallel processing of distributed arrays

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.

Using parallel processing constructs and dynamically allocating program portions

Media for performing parallel processing of distributed arrays

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.

Method of using parallel processing constructs and dynamically allocating program portions

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.

Parallel processing of distributed arrays and optimum data distribution

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.

Device for performing parallel processing of distributed arrays

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.

Media for using parallel processing constructs

A method and system is provided that allows a well-behaved program to execute more quickly than dynamically typed programming languages did in the past, thereby allowing a the dynamically typed language to be competitive with static declarative programming languages. A method includes converting lines of source code representing functions to byte-codes representing functions, selecting a subsequence of the byte-codes based on the byte-codes and the dynamic run-time properties of program variables, generating processor instructions in a compiler for the subsequence, and interpreting the byte-codes not contained in the subsequence.

Program interpreter

Methods and apparatus for using description information about a function to translate a call to the function in a first language into a call to a corresponding function in a second language. The methods include create description information from a definition of a function associated with a first language that enables translation of a call to the function in the first language into a call to a corresponding function in a second language without requiring processing of the definition of the function. In one aspect, the methods include providing a description file of items, each item including description information about a function associated with a first language, and using the file of description items to translate a first program file from the first language into a second language.

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Framingham, MA, United States of America

Brett W Baker