ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation.
pm_memory Module Reference

This module contains abstract and concrete derived types that are required for compile-time resolution of procedures within the generic interfaces of the ParaMonte library for various search operations.
Such procedures frequently need to work with a specific searching method within the algorithm implementation.
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Data Types

type  memory_type
 This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require different memory operations, layout, ....
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type  sticky_type
 This is a concrete derived type whose instances are exclusively used to request sticky (lingering) behavior within an interface of a procedure of the ParaMonte library.
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Variables

character(*, SK), parameter MODULE_NAME = "@pm_memory"
 
type(sticky_type), parameter sticky = sticky_type()
 This is a scalar parameter object of type sticky_type that is exclusively used to request sticky (lingering) behavior within an interface of a procedure of the ParaMonte library.
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Detailed Description

This module contains abstract and concrete derived types that are required for compile-time resolution of procedures within the generic interfaces of the ParaMonte library for various search operations.
Such procedures frequently need to work with a specific searching method within the algorithm implementation.

See also
pm_io
pm_err


Final Remarks


If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.

  1. If you use any parts or concepts from this library to any extent, please acknowledge the usage by citing the relevant publications of the ParaMonte library.
  2. If you regenerate any parts/ideas from this library in a programming environment other than those currently supported by this ParaMonte library (i.e., other than C, C++, Fortran, MATLAB, Python, R), please also ask the end users to cite this original ParaMonte library.

This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.

Author:
Amir Shahmoradi, September 1, 2017, 12:00 AM, Institute for Computational Engineering and Sciences (ICES), The University of Texas Austin

Variable Documentation

◆ MODULE_NAME

character(*,SK), parameter pm_memory::MODULE_NAME = "@pm_memory"

Definition at line 39 of file pm_memory.F90.

◆ sticky

type(sticky_type), parameter pm_memory::sticky = sticky_type()

This is a scalar parameter object of type sticky_type that is exclusively used to request sticky (lingering) behavior within an interface of a procedure of the ParaMonte library.

For example usage, see the documentation of the target procedure requiring this object.

See also
sticky
sticky_type
memory_type


Final Remarks


If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.

  1. If you use any parts or concepts from this library to any extent, please acknowledge the usage by citing the relevant publications of the ParaMonte library.
  2. If you regenerate any parts/ideas from this library in a programming environment other than those currently supported by this ParaMonte library (i.e., other than C, C++, Fortran, MATLAB, Python, R), please also ask the end users to cite this original ParaMonte library.

This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.

Author:
Amir Shahmoradi, September 1, 2017, 12:00 AM, Institute for Computational Engineering and Sciences (ICES), The University of Texas Austin

Definition at line 108 of file pm_memory.F90.