Memory bandwidth is strongly correlated to the complexity of the memory access pattern of a running application. To improve memory performance of applications with irregular and/or unpredictable memory patterns, we need tools to analyze these patterns during application development. In this work, we present a software tool for the analysis and visualization of memory access patterns. We perform memory tracing and profiling, we do data processing and filtering, and we use visualization algorithms to produce three dimensional graphs that describe the patterns both in space and in time. Finally, we evaluate our toolflow on a variety of applications.
@article{arxiv.2103.05436,
title = {MapVisual: A Visualization Tool for Memory Access Patterns},
author = {Pavlos Aimoniotis and Maria Rafaela Gkeka and Nikolaos Bellas},
journal= {arXiv preprint arXiv:2103.05436},
year = {2021}
}