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Conference Papers Year : 2015

Manipulating Visualization, Not Codes


Manual program parallelization and optimization may be necessary to reach a decent portion of the target architecture's peak performance when automatic tools fail at choosing the best strategy. While a broad range of languages and libraries provide convenient ways to express parallelism, the difficult, time consuming and error-prone parallelism identification and extraction task is mostly left under the programmer's responsibility. To address this issue, we introduce a visualization-based approach to ease parallelism extraction and expression that leverages polyhedral compilation technologies. Our interactive tool, Clint, maps direct manipulation of the visual representation to polyhedral program transformations with real-time semantics preservation feedback. We conducted two user studies showing that Clint's visualization can be accurately understood by both experts and non-expert programmers, and that the parallelism can be extracted better from Clint's representation than from the source code in many cases.
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Dates and versions

hal-01100974 , version 1 (07-01-2015)


  • HAL Id : hal-01100974 , version 1


Oleksandr Zinenko, Cédric Bastoul, Stéphane Huot. Manipulating Visualization, Not Codes. International Workshop on Polyhedral Compilation Techniques (IMPACT), Jan 2015, Amsterdam, Netherlands. pp.8. ⟨hal-01100974⟩
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