Multiprocessing in Python with Fortran and OpenMP

Creating Python modules with Fortran OpenMP code makes all available cores accessible to Python functions.


Inexpensive, small, portable, low-power clusters are fantastic for many HPC applications. One of the coolest small clusters is the ClusterHAT for Raspberry Pi.


If you are an intensive, or even a typical, computer user, you store an amazing amount of data on your personal systems, servers, and HPC systems that you rarely touch. SquashFS is an underestimated filesystem that can address that needed, but little used, data.

Parallel I/O for HPC

In the last of three articles on HDF5, we explore performing parallel I/O with the use of HDF5 files.

How Old Is That Data?

The explosion of data is a storage burden that all system administrators bear. The agedu tool lets you discover what data is being used.

Simple HDF5 in Python and Fortran

Using the popular HDF5 I/O library with Python and Fortran.

Hierarchical Data Storage for HPC

HDF5 is a data model, library, and file format used primarily for scientific computing to store and manage data.

Modern Fortran for Today and Tomorrow

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.

Modern Fortran – Fortran 95 and 2003

Fortran 90 was only the start. The next two iterations – 95 and 2003 – pulled Fortran into a new era of programming languages.

Diving In

GlusterFS stores data across the network and can be used as a storage back end in cloud environments.