Yu, Yijun; Beyls, Kristof and D'Hollander, Erik H.
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Cache behavior of a program has an ever-growing strong impact on its execution time. Characterizing the behavior by visible patterns is considered a way to pinpoint the bottleneck against performance. This paper presents a framework of visualization for trace distributions to
extract the useful cache behavior patterns. We focus on cache misses, reuse distances, temporal or spatial localities, etc. The histograms of these distribution
patterns measure the behavior in quantity, revealing effective program optimizations. The performance bottlenecks are exposed as hot spots highlighted in the source code, showing the exact locations to apply suitable
optimizations. The impact of the source-level program optimizations, again, can be verified by the visualization tool.
|Item Type:||Journal Article|
|Extra Information:||Orginal paper was presented to the International Conference on Information Visualization, 2001.|
|Keywords:||Program visualization; cache; reuse distance; data locality; performance optimization|
|Academic Unit/Department:||Mathematics, Computing and Technology > Computing & Communications|
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Yijun Yu|
|Date Deposited:||20 Feb 2007|
|Last Modified:||02 Dec 2010 19:57|
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