OpenACC directives can improve performance if you know how to find where parallel code will make the greatest difference.

The OpenACC data directive and its associated clauses allow you to control the movement of data between the host CPU and the accelerator GPU.

OpenACC is a great tool for parallelizing applications for a variety of processors.  In t his article , I  look at one of the most powerful directives,  loop .

The Python SymPy library for symbolic mathematics allows you to create complex mathematical expressions.

Sometimes your Python programs need a little more speed. The pyamgx library can help you speed up your Python code.

Developers fed up with cryptic Makefiles should take a look at the new Meson build system, which is simple to operate, offers scripting capabilities, integrates external test tools, and supports Linux, Windows, and Mac OS X.

The Joblib Python Library handles frequent problems – like parallelization, memorization, and saving and loading objects – in almost no time, giving programmers more freedom to push on with their core tasks.