Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Running Neural Networks on the NIC   In this paper we show that the data plane of commodity programmable (Network
Interface Cards) NICs can run neural network inference tasks required by packet
monitoring applications, with low overhead. This is particularly important as
the data transfer costs to the host system and dedicated machine learning
accelerators, e.g., GPUs, can be more expensive than the processing task
itself. We design and implement our system -- N3IC -- on two different NICs and
we show that it can greatly benefit three different network monitoring use
cases that require machine learning inference as first-class-primitive. N3IC
can perform inference for millions of network flows per second, while
forwarding traffic at 40Gb/s. Compared to an equivalent solution implemented on
a general purpose CPU, N3IC can provide 100x lower processing latency, with
1.5x increase in throughput.

17
The categories of this paper are: q-fin
15
The categories of this paper are: nucl-ex
30
The categories of this paper are: q-alg
27
The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
32
The categories of this paper are: atom-ph
12
The categories of this paper are: nucl-th
34
The categories of this paper are: chem-ph
0
The categories of this paper are: hep-ph
14
The categories of this paper are: math-ph
8
The categories of this paper are: hep-ex
2
The categories of this paper are: math
29
The categories of this paper are: funct-an
3
The categories of this paper are: physics