  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.
