ohpc-io-libs-intel

ohpc-io-libs-intel

OpenHPC IO library builds for use with Intel parallel studio toolchain OpenHPC:1.3

1.3 - Base

http://build.openhpc.community/OpenHPC:/1.3/SLE_12/ openSUSE.org:SUSE:SLE-12-SP2:GA http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12-SP2:/GA/standard/ openSUSE.org:SUSE:SLE-12:SLE-Module-Toolchain http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/SLE-Module-Toolchain/standard/ openSUSE.org:SUSE:SLE-12-SP2:GA http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12-SP2:/GA/HPC/ openSUSE.org:SUSE:SLE-12-SP1:Update http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12-SP1:/Update/standard/ openSUSE.org:SUSE:SLE-12:SLE-Module-Toolchain http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/SLE-Module-Toolchain/update/ openSUSE.org:SUSE:SLE-12-SP1:GA http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12-SP1:/GA/standard/ openSUSE.org:SUSE:SLE-12:Update http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/Update/standard/ openSUSE.org:SUSE:SLE-12:SLE-Module-Web-Scripting http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/SLE-Module-Web-Scripting/update/ openSUSE.org:SUSE:SLE-12:SLE-Module-Public-Cloud http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/SLE-Module-Public-Cloud/update/ openSUSE.org:SUSE:SLE-12:SLE-Module-Legacy http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/SLE-Module-Legacy/update/ openSUSE.org:SUSE:SLE-12:SLE-Module-Containers http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/SLE-Module-Containers/update/ openSUSE.org:SUSE:SLE-12:SLE-Module-Adv-Systems-Management http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/SLE-Module-Adv-Systems-Management/update/ openSUSE.org:SUSE:SLE-12:Update http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/Update/OBS_Deps/ openSUSE.org:SUSE:SLE-12:Update http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/Update/HA_GEO/ openSUSE.org:SUSE:SLE-12:Update http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/Update/HA/ openSUSE.org:SUSE:SLE-12:Update http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/Update/WE/ openSUSE.org:SUSE:SLE-12:Update http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/Update/SDK/ openSUSE.org:SUSE:SLE-12:Update http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/Update/SLES/ openSUSE.org:SUSE:SLE-12:Update http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/Update/SLED/ openSUSE.org:SUSE:SLE-12:GA http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/GA/standard/ adios-gnu-impi-ohpc

The Adaptable IO System (ADIOS)

The Adaptable IO System (ADIOS) provides a simple, flexible way for scientists to desribe the data in their code that may need to be written, read, or processed outside of the running simulation. By providing an external to the code XML file describing the various elements, their types, and how you wish to process them this run, the routines in the host code (either Fortran or C) can transparently change how they process the data. adios-intel-impi-ohpc

The Adaptable IO System (ADIOS)

The Adaptable IO System (ADIOS) provides a simple, flexible way for scientists to desribe the data in their code that may need to be written, read, or processed outside of the running simulation. By providing an external to the code XML file describing the various elements, their types, and how you wish to process them this run, the routines in the host code (either Fortran or C) can transparently change how they process the data. adios-intel-mpich-ohpc

The Adaptable IO System (ADIOS)

The Adaptable IO System (ADIOS) provides a simple, flexible way for scientists to desribe the data in their code that may need to be written, read, or processed outside of the running simulation. By providing an external to the code XML file describing the various elements, their types, and how you wish to process them this run, the routines in the host code (either Fortran or C) can transparently change how they process the data. adios-intel-mvapich2-ohpc

The Adaptable IO System (ADIOS)

The Adaptable IO System (ADIOS) provides a simple, flexible way for scientists to desribe the data in their code that may need to be written, read, or processed outside of the running simulation. By providing an external to the code XML file describing the various elements, their types, and how you wish to process them this run, the routines in the host code (either Fortran or C) can transparently change how they process the data. adios-intel-openmpi-ohpc

The Adaptable IO System (ADIOS)

The Adaptable IO System (ADIOS) provides a simple, flexible way for scientists to desribe the data in their code that may need to be written, read, or processed outside of the running simulation. By providing an external to the code XML file describing the various elements, their types, and how you wish to process them this run, the routines in the host code (either Fortran or C) can transparently change how they process the data. hdf5-intel-ohpc

A general purpose library and file format for storing scientific data

HDF5 is a general purpose library and file format for storing scientific data. HDF5 can store two primary objects: datasets and groups. A dataset is essentially a multidimensional array of data elements, and a group is a structure for organizing objects in an HDF5 file. Using these two basic objects, one can create and store almost any kind of scientific data structure, such as images, arrays of vectors, and structured and unstructured grids. You can also mix and match them in HDF5 files according to your needs. phdf5-gnu-impi-ohpc

A general purpose library and file format for storing scientific data

HDF5 is a general purpose library and file format for storing scientific data. HDF5 can store two primary objects: datasets and groups. A dataset is essentially a multidimensional array of data elements, and a group is a structure for organizing objects in an HDF5 file. Using these two basic objects, one can create and store almost any kind of scientific data structure, such as images, arrays of vectors, and structured and unstructured grids. You can also mix and match them in HDF5 files according to your needs. phdf5-intel-mpich-ohpc

A general purpose library and file format for storing scientific data

HDF5 is a general purpose library and file format for storing scientific data. HDF5 can store two primary objects: datasets and groups. A dataset is essentially a multidimensional array of data elements, and a group is a structure for organizing objects in an HDF5 file. Using these two basic objects, one can create and store almost any kind of scientific data structure, such as images, arrays of vectors, and structured and unstructured grids. You can also mix and match them in HDF5 files according to your needs. phdf5-intel-mvapich2-ohpc

A general purpose library and file format for storing scientific data

HDF5 is a general purpose library and file format for storing scientific data. HDF5 can store two primary objects: datasets and groups. A dataset is essentially a multidimensional array of data elements, and a group is a structure for organizing objects in an HDF5 file. Using these two basic objects, one can create and store almost any kind of scientific data structure, such as images, arrays of vectors, and structured and unstructured grids. You can also mix and match them in HDF5 files according to your needs. phdf5-intel-openmpi-ohpc

A general purpose library and file format for storing scientific data

HDF5 is a general purpose library and file format for storing scientific data. HDF5 can store two primary objects: datasets and groups. A dataset is essentially a multidimensional array of data elements, and a group is a structure for organizing objects in an HDF5 file. Using these two basic objects, one can create and store almost any kind of scientific data structure, such as images, arrays of vectors, and structured and unstructured grids. You can also mix and match them in HDF5 files according to your needs. phdf5-intel-impi-ohpc

A general purpose library and file format for storing scientific data

HDF5 is a general purpose library and file format for storing scientific data. HDF5 can store two primary objects: datasets and groups. A dataset is essentially a multidimensional array of data elements, and a group is a structure for organizing objects in an HDF5 file. Using these two basic objects, one can create and store almost any kind of scientific data structure, such as images, arrays of vectors, and structured and unstructured grids. You can also mix and match them in HDF5 files according to your needs. netcdf-gnu-impi-ohpc

C Libraries for the Unidata network Common Data Form

NetCDF (network Common Data Form) is an interface for array-oriented data access and a freely-distributed collection of software libraries for C, Fortran, C++, and perl that provides an implementation of the interface. The NetCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. The NetCDF software was developed at the Unidata Program Center in Boulder, Colorado. NetCDF data is: o Self-Describing: A NetCDF file includes information about the data it contains. o Network-transparent: A NetCDF file is represented in a form that can be accessed by computers with different ways of storing integers, characters, and floating-point numbers. o Direct-access: A small subset of a large dataset may be accessed efficiently, without first reading through all the preceding data. o Appendable: Data can be appended to a NetCDF dataset along one dimension without copying the dataset or redefining its structure. The structure of a NetCDF dataset can be changed, though this sometimes causes the dataset to be copied. o Sharable: One writer and multiple readers may simultaneously access the same NetCDF file. netcdf-intel-impi-ohpc

C Libraries for the Unidata network Common Data Form

NetCDF (network Common Data Form) is an interface for array-oriented data access and a freely-distributed collection of software libraries for C, Fortran, C++, and perl that provides an implementation of the interface. The NetCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. The NetCDF software was developed at the Unidata Program Center in Boulder, Colorado. NetCDF data is: o Self-Describing: A NetCDF file includes information about the data it contains. o Network-transparent: A NetCDF file is represented in a form that can be accessed by computers with different ways of storing integers, characters, and floating-point numbers. o Direct-access: A small subset of a large dataset may be accessed efficiently, without first reading through all the preceding data. o Appendable: Data can be appended to a NetCDF dataset along one dimension without copying the dataset or redefining its structure. The structure of a NetCDF dataset can be changed, though this sometimes causes the dataset to be copied. o Sharable: One writer and multiple readers may simultaneously access the same NetCDF file. netcdf-intel-mpich-ohpc

C Libraries for the Unidata network Common Data Form

NetCDF (network Common Data Form) is an interface for array-oriented data access and a freely-distributed collection of software libraries for C, Fortran, C++, and perl that provides an implementation of the interface. The NetCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. The NetCDF software was developed at the Unidata Program Center in Boulder, Colorado. NetCDF data is: o Self-Describing: A NetCDF file includes information about the data it contains. o Network-transparent: A NetCDF file is represented in a form that can be accessed by computers with different ways of storing integers, characters, and floating-point numbers. o Direct-access: A small subset of a large dataset may be accessed efficiently, without first reading through all the preceding data. o Appendable: Data can be appended to a NetCDF dataset along one dimension without copying the dataset or redefining its structure. The structure of a NetCDF dataset can be changed, though this sometimes causes the dataset to be copied. o Sharable: One writer and multiple readers may simultaneously access the same NetCDF file. netcdf-intel-mvapich2-ohpc

C Libraries for the Unidata network Common Data Form

NetCDF (network Common Data Form) is an interface for array-oriented data access and a freely-distributed collection of software libraries for C, Fortran, C++, and perl that provides an implementation of the interface. The NetCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. The NetCDF software was developed at the Unidata Program Center in Boulder, Colorado. NetCDF data is: o Self-Describing: A NetCDF file includes information about the data it contains. o Network-transparent: A NetCDF file is represented in a form that can be accessed by computers with different ways of storing integers, characters, and floating-point numbers. o Direct-access: A small subset of a large dataset may be accessed efficiently, without first reading through all the preceding data. o Appendable: Data can be appended to a NetCDF dataset along one dimension without copying the dataset or redefining its structure. The structure of a NetCDF dataset can be changed, though this sometimes causes the dataset to be copied. o Sharable: One writer and multiple readers may simultaneously access the same NetCDF file. netcdf-intel-openmpi-ohpc

C Libraries for the Unidata network Common Data Form

NetCDF (network Common Data Form) is an interface for array-oriented data access and a freely-distributed collection of software libraries for C, Fortran, C++, and perl that provides an implementation of the interface. The NetCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. The NetCDF software was developed at the Unidata Program Center in Boulder, Colorado. NetCDF data is: o Self-Describing: A NetCDF file includes information about the data it contains. o Network-transparent: A NetCDF file is represented in a form that can be accessed by computers with different ways of storing integers, characters, and floating-point numbers. o Direct-access: A small subset of a large dataset may be accessed efficiently, without first reading through all the preceding data. o Appendable: Data can be appended to a NetCDF dataset along one dimension without copying the dataset or redefining its structure. The structure of a NetCDF dataset can be changed, though this sometimes causes the dataset to be copied. o Sharable: One writer and multiple readers may simultaneously access the same NetCDF file. netcdf-cxx-gnu-impi-ohpc

C++ Libraries for the Unidata network Common Data Form

NetCDF (network Common Data Form) is an interface for array-oriented data access and a freely-distributed collection of software libraries for C, Fortran, C++, and perl that provides an implementation of the interface. The NetCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. The NetCDF software was developed at the Unidata Program Center in Boulder, Colorado. NetCDF data is: o Self-Describing: A NetCDF file includes information about the data it contains. o Network-transparent: A NetCDF file is represented in a form that can be accessed by computers with different ways of storing integers, characters, and floating-point numbers. o Direct-access: A small subset of a large dataset may be accessed efficiently, without first reading through all the preceding data. o Appendable: Data can be appended to a NetCDF dataset along one dimension without copying the dataset or redefining its structure. The structure of a NetCDF dataset can be changed, though this sometimes causes the dataset to be copied. o Sharable: One writer and multiple readers may simultaneously access the same NetCDF file. netcdf-cxx-intel-impi-ohpc

C++ Libraries for the Unidata network Common Data Form

NetCDF (network Common Data Form) is an interface for array-oriented data access and a freely-distributed collection of software libraries for C, Fortran, C++, and perl that provides an implementation of the interface. The NetCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. The NetCDF software was developed at the Unidata Program Center in Boulder, Colorado. NetCDF data is: o Self-Describing: A NetCDF file includes information about the data it contains. o Network-transparent: A NetCDF file is represented in a form that can be accessed by computers with different ways of storing integers, characters, and floating-point numbers. o Direct-access: A small subset of a large dataset may be accessed efficiently, without first reading through all the preceding data. o Appendable: Data can be appended to a NetCDF dataset along one dimension without copying the dataset or redefining its structure. The structure of a NetCDF dataset can be changed, though this sometimes causes the dataset to be copied. o Sharable: One writer and multiple readers may simultaneously access the same NetCDF file. netcdf-cxx-intel-mpich-ohpc

C++ Libraries for the Unidata network Common Data Form

NetCDF (network Common Data Form) is an interface for array-oriented data access and a freely-distributed collection of software libraries for C, Fortran, C++, and perl that provides an implementation of the interface. The NetCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. The NetCDF software was developed at the Unidata Program Center in Boulder, Colorado. NetCDF data is: o Self-Describing: A NetCDF file includes information about the data it contains. o Network-transparent: A NetCDF file is represented in a form that can be accessed by computers with different ways of storing integers, characters, and floating-point numbers. o Direct-access: A small subset of a large dataset may be accessed efficiently, without first reading through all the preceding data. o Appendable: Data can be appended to a NetCDF dataset along one dimension without copying the dataset or redefining its structure. The structure of a NetCDF dataset can be changed, though this sometimes causes the dataset to be copied. o Sharable: One writer and multiple readers may simultaneously access the same NetCDF file. netcdf-cxx-intel-mvapich2-ohpc

C++ Libraries for the Unidata network Common Data Form

NetCDF (network Common Data Form) is an interface for array-oriented data access and a freely-distributed collection of software libraries for C, Fortran, C++, and perl that provides an implementation of the interface. The NetCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. The NetCDF software was developed at the Unidata Program Center in Boulder, Colorado. NetCDF data is: o Self-Describing: A NetCDF file includes information about the data it contains. o Network-transparent: A NetCDF file is represented in a form that can be accessed by computers with different ways of storing integers, characters, and floating-point numbers. o Direct-access: A small subset of a large dataset may be accessed efficiently, without first reading through all the preceding data. o Appendable: Data can be appended to a NetCDF dataset along one dimension without copying the dataset or redefining its structure. The structure of a NetCDF dataset can be changed, though this sometimes causes the dataset to be copied. o Sharable: One writer and multiple readers may simultaneously access the same NetCDF file. netcdf-cxx-intel-openmpi-ohpc

C++ Libraries for the Unidata network Common Data Form

NetCDF (network Common Data Form) is an interface for array-oriented data access and a freely-distributed collection of software libraries for C, Fortran, C++, and perl that provides an implementation of the interface. The NetCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. The NetCDF software was developed at the Unidata Program Center in Boulder, Colorado. NetCDF data is: o Self-Describing: A NetCDF file includes information about the data it contains. o Network-transparent: A NetCDF file is represented in a form that can be accessed by computers with different ways of storing integers, characters, and floating-point numbers. o Direct-access: A small subset of a large dataset may be accessed efficiently, without first reading through all the preceding data. o Appendable: Data can be appended to a NetCDF dataset along one dimension without copying the dataset or redefining its structure. The structure of a NetCDF dataset can be changed, though this sometimes causes the dataset to be copied. o Sharable: One writer and multiple readers may simultaneously access the same NetCDF file. netcdf-fortran-gnu-impi-ohpc

Fortran Libraries for the Unidata network Common Data Form

NetCDF (network Common Data Form) is an interface for array-oriented data access and a freely-distributed collection of software libraries for C, Fortran, C++, and perl that provides an implementation of the interface. The NetCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. The NetCDF software was developed at the Unidata Program Center in Boulder, Colorado. NetCDF data is: o Self-Describing: A NetCDF file includes information about the data it contains. o Network-transparent: A NetCDF file is represented in a form that can be accessed by computers with different ways of storing integers, characters, and floating-point numbers. o Direct-access: A small subset of a large dataset may be accessed efficiently, without first reading through all the preceding data. o Appendable: Data can be appended to a NetCDF dataset along one dimension without copying the dataset or redefining its structure. The structure of a NetCDF dataset can be changed, though this sometimes causes the dataset to be copied. o Sharable: One writer and multiple readers may simultaneously access the same NetCDF file. netcdf-fortran-intel-impi-ohpc

Fortran Libraries for the Unidata network Common Data Form

NetCDF (network Common Data Form) is an interface for array-oriented data access and a freely-distributed collection of software libraries for C, Fortran, C++, and perl that provides an implementation of the interface. The NetCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. The NetCDF software was developed at the Unidata Program Center in Boulder, Colorado. NetCDF data is: o Self-Describing: A NetCDF file includes information about the data it contains. o Network-transparent: A NetCDF file is represented in a form that can be accessed by computers with different ways of storing integers, characters, and floating-point numbers. o Direct-access: A small subset of a large dataset may be accessed efficiently, without first reading through all the preceding data. o Appendable: Data can be appended to a NetCDF dataset along one dimension without copying the dataset or redefining its structure. The structure of a NetCDF dataset can be changed, though this sometimes causes the dataset to be copied. o Sharable: One writer and multiple readers may simultaneously access the same NetCDF file. netcdf-fortran-intel-mpich-ohpc

Fortran Libraries for the Unidata network Common Data Form

NetCDF (network Common Data Form) is an interface for array-oriented data access and a freely-distributed collection of software libraries for C, Fortran, C++, and perl that provides an implementation of the interface. The NetCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. The NetCDF software was developed at the Unidata Program Center in Boulder, Colorado. NetCDF data is: o Self-Describing: A NetCDF file includes information about the data it contains. o Network-transparent: A NetCDF file is represented in a form that can be accessed by computers with different ways of storing integers, characters, and floating-point numbers. o Direct-access: A small subset of a large dataset may be accessed efficiently, without first reading through all the preceding data. o Appendable: Data can be appended to a NetCDF dataset along one dimension without copying the dataset or redefining its structure. The structure of a NetCDF dataset can be changed, though this sometimes causes the dataset to be copied. o Sharable: One writer and multiple readers may simultaneously access the same NetCDF file. netcdf-fortran-intel-mvapich2-ohpc

Fortran Libraries for the Unidata network Common Data Form

NetCDF (network Common Data Form) is an interface for array-oriented data access and a freely-distributed collection of software libraries for C, Fortran, C++, and perl that provides an implementation of the interface. The NetCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. The NetCDF software was developed at the Unidata Program Center in Boulder, Colorado. NetCDF data is: o Self-Describing: A NetCDF file includes information about the data it contains. o Network-transparent: A NetCDF file is represented in a form that can be accessed by computers with different ways of storing integers, characters, and floating-point numbers. o Direct-access: A small subset of a large dataset may be accessed efficiently, without first reading through all the preceding data. o Appendable: Data can be appended to a NetCDF dataset along one dimension without copying the dataset or redefining its structure. The structure of a NetCDF dataset can be changed, though this sometimes causes the dataset to be copied. o Sharable: One writer and multiple readers may simultaneously access the same NetCDF file. netcdf-fortran-intel-openmpi-ohpc

Fortran Libraries for the Unidata network Common Data Form

NetCDF (network Common Data Form) is an interface for array-oriented data access and a freely-distributed collection of software libraries for C, Fortran, C++, and perl that provides an implementation of the interface. The NetCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. The NetCDF software was developed at the Unidata Program Center in Boulder, Colorado. NetCDF data is: o Self-Describing: A NetCDF file includes information about the data it contains. o Network-transparent: A NetCDF file is represented in a form that can be accessed by computers with different ways of storing integers, characters, and floating-point numbers. o Direct-access: A small subset of a large dataset may be accessed efficiently, without first reading through all the preceding data. o Appendable: Data can be appended to a NetCDF dataset along one dimension without copying the dataset or redefining its structure. The structure of a NetCDF dataset can be changed, though this sometimes causes the dataset to be copied. o Sharable: One writer and multiple readers may simultaneously access the same NetCDF file.