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AMAIX In-Depth: A Generic Analytical Model for Deep Learning Accelerators
2022
20th IEEE International Conference on Embedded Computer Systems: Architectures
In recent years the growing popularity of Convolutional Neural Network(CNNs) has driven the development of specialized hardware, so called Deep Learning Accelerator (DLAs). The large market for DLAs and the huge amount of papers published on DLA design show that there is currently no one-size-fits-all solution. Depending on the given optimization goals such as power consumption or performance, there may be several optimal solutions for each scenario. A commonly used method for finding these
doi:10.18154/rwth-2022-02911
fatcat:vpwnyymaxrfwvirzfs2r3drtgm