Aggregated Dynamic Dataflow Graph Generation and Visualization
Aggregated Dynamic Dataflow Graphs can assist programmers to uncover the main data paths of a given algorithm. This information can be useful when scaling a singlethreaded program into a multi-core architecture. The amount of data movements is crucial when targeting for cache incoherent and/or het...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
UT Press Publishing House
2013-12-01
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| Series: | Carpathian Journal of Electronic and Computer Engineering |
| Subjects: | |
| Online Access: | http://cjece.ubm.ro/vol/6-2013/210-6111.pdf |
| Summary: | Aggregated Dynamic Dataflow Graphs can assist
programmers to uncover the main data paths of a given
algorithm. This information can be useful when scaling a singlethreaded program into a multi-core architecture. The amount of data movements is crucial when targeting for cache incoherent and/or heterogeneous platforms. This paper presents two methods for generating function-level Aggregated Dynamic
Dataflow Graphs. Instruction level trace log was used as a basis,
which was generated by Microsoft Giano processor simulator
platform. Top-down aggregation strategy and relational database
was used to speed up the generation of different views of the
aggregated dataflow and call graphs. |
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| ISSN: | 1844-9689 2343-8908 |