This archive is distributed in association with the INFORMS Journal on Computing under the MIT License.
The software and data in this repository are a snapshot of the software and data that were used in the research reported on in the paper This is a Template by T. Ralphs. The snapshot is based on this SHA in the development repository.
Important: This code is being developed on an on-going basis at https://github.com/tkralphs/JoCTemplate. Please go there if you would like to get a more recent version or would like support
To cite the contents of this repository, please cite both the paper and this repo, using their respective DOIs.
https://doi.org/10.1287/ijoc.2019.0000
https://doi.org/10.1287/ijoc.2019.0000.cd
Below is the BibTex for citing this snapshot of the repository.
@misc{CacheTest,
author = {T. Ralphs},
publisher = {INFORMS Journal on Computing},
title = {{CacheTest}},
year = {2020},
doi = {10.1287/ijoc.2019.0000.cd},
url = {https://github.com/INFORMSJoC/2019.0000},
note = {Available for download at https://github.com/INFORMSJoC/2019.0000},
}
The goal of this software is to demonstrate the effect of cache optimization.
In Linux, to build the version that multiplies all elements of a vector by a constant (used to obtain the results in Figure 1 in the paper), stepping K elements at a time, execute the following commands.
make mult
Alternatively, to build the version that sums the elements of a vector (used to obtain the results Figure 2 in the paper), stepping K elements at a time, do the following.
make clean
make sum
Be sure to make clean before building a different version of the code.
Figure 1 in the paper shows the results of the multiplication test with different
values of K using gcc
7.5 on an Ubuntu Linux box.
Figure 2 in the paper shows the results of the sum test with different
values of K using gcc
7.5 on an Ubuntu Linux box.
To replicate the results in Figure 1, do either
make mult-test
or
python test.py mult
To replicate the results in Figure 2, do either
make sum-test
or
python test.py sum
This code is being developed on an on-going basis at the author's Github site.
For support in using this software, submit an issue.