visualizing the allocation and death of objects
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Visualizing the Allocation and Death of Objects Raoul L. Veroy, - PowerPoint PPT Presentation

Visualizing the Allocation and Death of Objects Raoul L. Veroy, Nathan P. Ricci, Samuel Z. Guyer Redline Research Group Tufts University 1 Death of Objects In a garbage collected language, where do objects die? Relate death to


  1. Visualizing the Allocation and Death of Objects Raoul L. Veroy, Nathan P. Ricci, Samuel Z. Guyer Redline Research Group Tufts University 1

  2. Death of Objects ● In a garbage collected language, where do objects die? ● Relate death to allocation ● Understanding death behavior improves program comprehension ● Check our design assumptions ● Find memory leaks ● Solution: visualization 2

  3. What are we visualizing? ● Use Elephant Tracks 1 to generate a detailed trace of allocations/reclamations for Java programs ● ET computes when object becomes unreachable 1 http://www.cs.tufts.edu/research/redline/elephantTracks/ 3

  4. What are we visualizing? ● Use Elephant Tracks to generate a detailed trace of allocations/reclamations for Java programs ● ET computes when object becomes unreachable 4

  5. What are we visualizing? ● Use Elephant Tracks to generate a detailed trace of allocations/reclamations for Java programs ● ET computes when object becomes unreachable ● Lots of objects! Rendering all is challenging. 5

  6. Hive plot ● Hive plots - rational approach to visualizing networks – M. Krzywinski, I. Birol, S. J. Jones, and M. A. Marra. Briefings in Bioinformatics 2012. ● HiveR - http://academic.depauw.edu/~hanson/HiveR/HiveR.html 6

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  10. Hive plot future work ● Hairball – Need edge bundling ● Address scalability ● Arrangement along axis – Using context, but which context? – Anything else? 10

  11. Matrix plot ● Suggested by reviewer ● Uses time as context ● Column – allocation time ● Row – death time 11

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  18. Matrix plot future work ● Lower triangular matrix by definition – Eliminate wasted space? ● Need better rendering techniques ● Need clustering – Automatic – Interactive 18

  19. Thank you. Questions, suggestions and comments? rveroy@cs.tufts.edu

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