Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Efficient distributed algorithms for Convolutional Neural Networks   Several efficient distributed algorithms have been developed for
matrix-matrix multiplication: the 3D algorithm, the 2D SUMMA algorithm, and the
2.5D algorithm. Each of these algorithms was independently conceived and they
trade-off memory needed per node and the inter-node data communication volume.
  The convolutional neural network (CNN) computation may be viewed as a
generalization of matrix-multiplication combined with neighborhood stencil
computations. We develop communication-efficient distributed-memory algorithms
for CNNs that are analogous to the 2D/2.5D/3D algorithms for matrix-matrix
multiplication.

36
The categories of this paper are: cmp-lg
5
The categories of this paper are: gr-qc
24
The categories of this paper are: dg-ga
34
The categories of this paper are: chem-ph
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
14
The categories of this paper are: math-ph
15
The categories of this paper are: nucl-ex
19
The categories of this paper are: eess
31
The categories of this paper are: ao-sci
32
The categories of this paper are: atom-ph
6
The categories of this paper are: astro-ph
18
The categories of this paper are: econ
7
The categories of this paper are: hep-th
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics