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In the last of three articles on HDF5, we explore performing parallel I/O with the use of HDF5 files.
The explosion of data is a storage burden that all system administrators bear. The agedu tool lets you discover what data is being used.
Using the popular HDF5 I/O library with Python and Fortran.
HDF5 is a data model, library, and file format used primarily for scientific computing to store and manage data.
Fortran development is still progressing, with a new version scheduled to release in 2018. In this article, we look at Fortran 2008 and the upcoming Fortran 2015.
Fortran 90 was only the start. The next two iterations – 95 and 2003 – pulled Fortran into a new era of programming languages.
GlusterFS stores data across the network and can be used as a storage back end in cloud environments.
Fortran comprises a huge body of software in high-performance computing. We look at Fortran’s evolution into a modern HPC language.
Non-volatile dual in-line memory modules will provide storage as fast as RAM and keep its content through a reboot. The Linux kernel is already geared to handle the new technology and can even serve the modules up as block devices.
Editors, particularly command-line editors, are an important tool for high-performance computing systems administrators. We point out some editor options with little to no bloodshed.
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