@article {10123691,
	title = {Enhancing DNN Training Efficiency Via Dynamic Asymmetric Architecture},
	journal = {IEEE Computer Architecture Letters},
	volume = {22},
	number = {1},
	year = {2023},
	pages = {49-52},
	keywords = {approximation, Computational Modeling, Computer architecture, dataflow architectures, Hardware, Neural nets, Quantization (signal), Routing, Throughput, training},
	doi = {10.1109/LCA.2023.3275909},
	author = {Kurzum, Samer and Shomron, Gil and Gabbay, Freddy and Weiser, Uri}
}
