## Speeding up compilation on Ubuntu with Qt Creator

Are you reading random stuff on the web while waiting for your C++ compilation to finish? Then you have come to the right place. In this post I will tell you about two really nice tweaks you may do to speed up your compilations, namely ccache and the make -j flag, and how you may set these up in Qt Creator.

## ccache

ccache is a clever tool that wraps you compiler (g++ or mpicxx) and understands whether the file you are compiling has been compiled before with exactly the same contents and settings. If it has, it just returns a cached result.

Unlike regular make, ccache is extremely good at detecting the true state of what you are compiling. I have never had any trouble with ccache.

This really speeds up the compilation when you are using make clean, especially if you are switching git branches. In other words, it is a much simpler solution to achieve fast compilation with git branches than to create separate build folders for each branch.

To enable ccache, install it with

sudo apt-get install ccache

QMAKE_CXX = ccache g++

Replace g++ with mpicxx if you are using MPI.

## The make -j flag

I realized when compiling the Qt source that make has a -j flag that enables threaded compilation on all available processors on the machine. This also speeds up compilation significantly, and I made a 3.55x performance gain on a 4 core CPU. To enable this flag, go to the Projects view in Qt Creator and add the following arguments to the make build step:

-j

This should look something like this afterwards:

If you prefer not to use all available processors for compilation, you may add a number after -j to set the number of processors. For instance make -j 3 would compile with 3 processors.

## Adjusting to the new version of Pylab and Mayavi on Ubuntu 12.04

It seems the IPython and Pylab packages has also been updated in 12.04 and thus removing the old ipython -wthread flag that would ensure Mayavi plots to be run in a separate thread. Running with the flag causes this error to show up:

[TerminalIPythonApp] Unrecognized flag: '-wthread'

Without this flag, the Mayavi plots lock up the UI and hangs. If you want to get the possibility back to rotate and play around with the plots, just start IPython the following way from now on:

ipython --pylab=qt


This will launch IPython with the Qt backend and threading. Using only –pylab does not include threading. For easy and quick access, add the following to a file named .bashrc in your home folder:

alias pylab='ipython --pylab=qt'


From now on you can launch IPython just by typing

pylab


in a terminal.