Adaptive Low-Cost Loop Expansion for Modulo Scheduling
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-21395-3_3
Reference20 articles.
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5. Giesemann, F., Payá-Vayá, G., Gerlach, L., Blume, H., Pflug, F., von Voigt, G.: Using a genetic algorithm approach to reduce register file pressure during instruction scheduling. In: 2017 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS), pp. 179–187 (2017)
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