Aravind Sukumaran-Rajam

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We present a dynamic dependence analyzer whose goal is to compute dependences from instrumented execution samples of loop nests. The resulting information serves as a prediction of the execution behavior during the remaining iterations and can be used to select and apply a speculatively optimizing and parallelizing polyhedral transformation of the target(More)
Apollo What is this talk about ? A dynamic and speculative optimizer Optimization of loop nests that cannot be handled statically Dynamic application of polyhedral model Non linear extensions to polyhedral model Inria APOLLO 25 May, 2015 2 / 47 Motivation Static approaches are limited due to intractable control and memory instructions Indirect memory(More)
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