These bencharks were run on linux (in my case I used a Vagrant VM - box 'ubuntu/trusty64'.
You'll need to install the packages you want to test, and to update the Makefile so that the headers are found.
Original benchmark with higher key count and restricted to just random integer inserts:
$ cd hash-table-shootout
$ mkdir build
$ make
$ python bench.py
$ python make_chart_data.py < output | python make_html.py
Your charts are now in charts.html.
You can tweak some of the values in bench.py to make it run faster at the
expense of less granular data, and you might need to tweak some of the tickSize
settings in charts-template.html.
To run the benchmark at the highest priority possible, do this:
$ sudo nice -n-20 ionice -c1 -n0 sudo -u $USER python bench.py
Modified by Gregory Popovitch in 2016
Modified by Timon Karnezos in 2011.
Originally written by Nick Welch in 2010.
No copyright. This work is dedicated to the public domain.
For full details, see http://creativecommons.org/publicdomain/zero/1.0/
I ran this on an Amazon EC2 m2.4xlarge instance with the Red Hat 6.1 x86_64 AMI (ami-31d41658).
$ yum install make-3.81-19.el6.x86_64 \
gcc-4.4.5-6.el6.x86_64 \
gcc-c++-4.4.5-6.el6.x86_64 \
python-devel-2.6.6-20.el6.x86_64 \
glib2-devel-2.22.5-6.el6.x86_64 \
boost-devel-1.41.0-11.el6_1.2.x86_64 \
qt-devel-4.6.2-17.el6_1.1.x86_64 \
git
$ wget http://google-sparsehash.googlecode.com/files/sparsehash-1.11-1.noarch.rpm
$ rpm -i sparsehash-1.11-1.noarch.rpm
$ git clone git://github.com/timonk/hash-table-shootout.git