hdf5 1.10.10+repack-ok1 source package in openKylin
Changelog
hdf5 (1.10.10+repack-ok1) nile; urgency=medium * Build for openKylin. -- Luoyaoming <email address hidden> Wed, 24 Apr 2024 15:00:26 +0800
hdf5 (1.10.10+repack-ok1) nile; urgency=medium * Build for openKylin. -- Luoyaoming <email address hidden> Wed, 24 Apr 2024 15:00:26 +0800
Series | Published | Component | Section |
---|
File | Size | SHA-256 Checksum |
---|---|---|
hdf5_1.10.10+repack.orig.tar.gz | 17.6 MiB | 3b62874f2755bd6921bd6e34f4d90929a591cf53199a64d915aecd4ea0b75662 |
hdf5_1.10.10+repack-ok1.debian.tar.xz | 134.7 KiB | 635cbc94311814749f0d6979b269ffd9c9b64bf78b6e7bea935c170ef1d6ae21 |
hdf5_1.10.10+repack-ok1.dsc | 3.9 KiB | f25c2226f2c34580c093cb6bf249c89daefdcfb9006d091a9db05d9138bd644b |
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains helper tools for HDF5.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains runtime tools for HDF5.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the C runtime files for serial platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the C++ runtime files for serial platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains development files for serial platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains documentation for HDF5.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the Fortran runtime files for serial platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level C API runtime files for serial platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level C++ API runtime files for serial
platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level Fortran API runtime files for serial
platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the java wrapper library for HDF5.
This package is only useful with libhdf5-java.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package depends on the default MPI version of HDF5 for each platform.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the C runtime files for use with MPICH2.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the C++ runtime files for mpich platforms.
.
Warning: C++ with parallel HDF5 is not supported upstream. Use this
feature at your own risks.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains development files for use with MPICH2. Warning:
the C++ interface is not provided for this version.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the Fortran runtime files for mpich platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level C API runtime files for mpich platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level C++ API runtime files for mpich
platforms.
.
Warning: C++ with parallel HDF5 is not supported upstream. Use this
feature at your own risks.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level Fortran API runtime files for mpich
platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the C runtime files for use with OpenMPI.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the C++ runtime files for openmpi platforms.
.
Warning: C++ with parallel HDF5 is not supported upstream. Use this
feature at your own risks.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains development files for use with OpenMPI.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the Fortran runtime files for openmpi platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level C API runtime files for openmpi platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level C++ API runtime files for openmpi
platforms.
.
Warning: C++ with parallel HDF5 is not supported upstream. Use this
feature at your own risks.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level Fortran API runtime files for openmpi
platforms.