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End-to-End Deep Learning of Optimization Heuristics

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Figure

Figure 1: Building a predictive model. The model is originallytrained on performance data and features extracted from thesource code and the runtime behavior
Figure 2: DeepTune architecture. Code properties are extractedfrom source code by the language model
Figure 4: DeepTune neural networks, configured for (a) het-erogeneous mapping, and (b) thread coarsening factor
Table V: The size and number of parameters of the Deep-Tune components of Figure 4, configured for heterogeneousmapping (HM) and coarsening factor (CF).
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