Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Design space exploration of Ferroelectric FET based Processing-in-Memory
  DNN Accelerator   In this letter, we quantify the impact of device limitations on the
classification accuracy of an artificial neural network, where the synaptic
weights are implemented in a Ferroelectric FET (FeFET) based in-memory
processing architecture. We explore a design-space consisting of the resolution
of the analog-to-digital converter, number of bits per FeFET cell, and the
neural network depth. We show how the system architecture, training models and
overparametrization can address some of the device limitations.

16
The categories of this paper are: stat
31
The categories of this paper are: ao-sci
32
The categories of this paper are: atom-ph
13
The categories of this paper are: quant-ph
9
The categories of this paper are: nlin
34
The categories of this paper are: chem-ph
3
The categories of this paper are: physics
25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
15
The categories of this paper are: nucl-ex
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph
10
The categories of this paper are: q-bio