Robustness assessment through iterative statistical fault injection: LEON3 processor as a case study
Authors/Creators
- 1. Universitat Politècnica de València
Description
Dataset exemplifies an approach of iterative statistical fault injection to assess the robustness of HDL models.
Contents:
1. Results of exhaustive fault injection experiments (bit-flip faults) into LEON3 processor model;
2. Interactive querying interface, allowing to obtain custom samples from exhaustive results, and visualize them;
3. Python scripts simulating 3 approaches to statistical fault injection: conservative, error-driven, time-driven.
Installation guide:
1. Ensure to have python ver. 2.x installed. Type in terminal (cmd console in Windows): “python --version” – if the output looks like > Python 2.x.x – python is installed.
Otherwise download and install 2.x.x distribution: https://www.python.org/
Add python installation path to environment path variable.
2. Ensure to have Web-Server installed (Apache preferable). For instance, XAMPP: https://www.apachefriends.org/index.html
3. Ensure that Web-server is configured to execute CGI scripts, particularly python-scripts:
In the 'httpd.conf' file (XAMMP control panel – button config in front of apache module):
– search for line Options Indexes FollowSymLinks and add ExecCGI, so the resulting line looks like this:
Options Indexes FollowSymLinks ExecCGI
– search for #AddHandler cgi-script .cgi, uncomment (remove #), and append “.py” to this line, so the results looks like:
AddHandler cgi-script .cgi .pl .asp .py
4. Unpack the contents of *.zip package into the folder on the Web Server.
For instance into 'Web-server root folder'/Dataset.
The Web-Server root can be configured in the ‘httpd.conf’ file in the DocumentRoot section, for instance:
DocumentRoot "F:/HTWEB"
<Directory "F:/HTWEB">
...
5. In the web-browser navigate to the root directory of extracted package:
http://localhost/Dataset/index.html
Files
DATASET.zip
Files
(45.6 MB)
| Name | Size | Download all |
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md5:bb4dba7122c7db1c124308ba8935ac25
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45.6 MB | Preview Download |