Neural Network Training on In-Memory-Computing Hardware With Radix-4 Gradients
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DOI: 10.1109/tcsi.2022.3185556
Abstract: Deep learning training involves a large number of operations, which are dominated by high dimensionality Matrix-Vector Multiplies (MVMs). This has motivated hardware accelerators to enhance compute efficiency, but where data movement and accessing are proving… read more here.
Keywords: neural network; hardware; training memory; network training ... See more keywords