Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Vis-TOP: Visual Transformer Overlay Processor   In recent years, Transformer has achieved good results in Natural Language
Processing (NLP) and has also started to expand into Computer Vision (CV).
Excellent models such as the Vision Transformer and Swin Transformer have
emerged. At the same time, the platform for Transformer models was extended to
embedded devices to meet some resource-sensitive application scenarios.
However, due to the large number of parameters, the complex computational flow
and the many different structural variants of Transformer models, there are a
number of issues that need to be addressed in its hardware design. This is both
an opportunity and a challenge. We propose Vis-TOP (Visual Transformer Overlay
Processor), an overlay processor for various visual Transformer models. It
differs from coarse-grained overlay processors such as CPU, GPU, NPE, and from
fine-grained customized designs for a specific model. Vis-TOP summarizes the
characteristics of all visual Transformer models and implements a three-layer
and two-level transformation structure that allows the model to be switched or
changed freely without changing the hardware architecture. At the same time,
the corresponding instruction bundle and hardware architecture are designed in
three-layer and two-level transformation structure. After quantization of Swin
Transformer tiny model using 8-bit fixed points (fix_8), we implemented an
overlay processor on the ZCU102. Compared to GPU, the TOP throughput is 1.5x
higher. Compared to the existing Transformer accelerators, our throughput per
DSP is between 2.2x and 11.7x higher than others. In a word, the approach in
this paper meets the requirements of real-time AI in terms of both resource
consumption and inference speed. Vis-TOP provides a cost-effective and
power-effective solution based on reconfigurable devices for computer vision at
the edge.

5
The categories of this paper are: gr-qc
21
The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an
28
The categories of this paper are: alg-geom
34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an
12
The categories of this paper are: nucl-th
10
The categories of this paper are: q-bio
36
The categories of this paper are: cmp-lg
0
The categories of this paper are: hep-ph
18
The categories of this paper are: econ
19
The categories of this paper are: eess
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The categories of this paper are: cond-mat
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The categories of this paper are: nucl-ex
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The categories of this paper are: comp-gas