Interactive visualization for memory reference traces

Authors:
A. N. M. Imroz Choudhury;Kristin C. Potter;Steven G. Parker
Affiliations:
Scientific Computing and Imaging Institute, University of Utah;Scientific Computing and Imaging Institute, University of Utah;Scientific Computing and Imaging Institute, University of Utah
Venue:
EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
Year:
2008

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Abstract

We present the Memory Trace Visualizer (MTV), a tool that provides interactive visualization and analysis of the sequence of memory operations performed by a program as it runs. As improvements in processor performance continue to outpace improvements in memory performance, tools to understand memory access patterns are increasingly important for optimizing data intensive programs such as those found in scientific computing. Using visual representations of abstract data structures, a simulated cache, and animating memory operations, MTV can expose memory performance bottlenecks and guide programmers toward memory system optimization opportunities. Visualization of detailed memory operations provides a powerful and intuitive way to expose patterns and discover bottlenecks, and is an important addition to existing statistical performance measurements.