Thesis
Visualization of post-silicon validation data for digital systems
Washington State University
Master of Science (MS), Washington State University
2015
Handle:
https://hdl.handle.net/2376/102186
Abstract
This thesis proposes a software based tool, named VisualV, to aid in post-silicon validation. It does this primarily through the visualization of data collected during the validation process. The study focuses on providing a graphical tool for verification and validation of digital systems. This tool in turn will help verification/validation engineers to identify problems (or bugs) in the design and/or implementation of these systems. The main objective will be to greatly reduce the amount of time required during post silicon validation. VisualV is a tool specifically developed to allow for visualization of large amounts of numeric data. While also allowing the user to specify certain rules, or events, that VisualV will monitor the collected data for. Notifying the user, and recording the event, in the case of a violation of a rule. In addition, VisualV, can perform some rudimentary analytical functions, such as using the Pearson Product Moment Correlation Coefficient. Allowing VisualV to calculate and display, graphically, the correlation between any two data sets or variables that are being monitored. In conclusion VisualV is a tool that allows users to great a graphical representation of any numeric data, contained in a .csv file, and perform some routine analytics and automated monitoring on the data. The potential improvements and reduction in time to complete defect analysis and to determine the temporal and spatial location of defects, are worth a significant amount of resources to any company who is involved in post-silicon validation.
Metrics
12 File views/ downloads
38 Record Views
Details
- Title
- Visualization of post-silicon validation data for digital systems
- Creators
- Adam Patrick Brandt
- Contributors
- José G. Delgado-Frias (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; [Pullman, Washington] :
- Identifiers
- 99900525075501842
- Language
- English
- Resource Type
- Thesis