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Reliability-Aware Deployment of DNNs on In-Memory Analog Computing Architectures. (arXiv:2211.00590v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
Conventional in-memory computing (IMC) architectures consist of analog
memristive crossbars to accelerate matrix-vector multiplication (MVM), and
digital functional units to realize nonlinear vector (NLV) operations in deep
neural networks (DNNs). These designs, however, require energy-hungry signal
conversion units which can dissipate more than 95% of the total power of the
system. In-Memory Analog Computing (IMAC) circuits, on the other hand, remove
the need for signal converters by realizing both MVM and NLV operations in the
analog domain leading to significant …
analog architectures arxiv computing deployment memory reliability