Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Large Scale Artificial Neural Network Training Using Multi-GPUs   This paper describes a method for accelerating large scale Artificial Neural
Networks (ANN) training using multi-GPUs by reducing the forward and backward
passes to matrix multiplication. We propose an out-of-core multi-GPU matrix
multiplication and integrate the algorithm with the ANN training. The
experiments demonstrate that our matrix multiplication algorithm achieves
linear speedup on multiple inhomogeneous GPUs. The full paper of this project
can be found at [1].

21
The categories of this paper are: adap-org
14
The categories of this paper are: math-ph
30
The categories of this paper are: q-alg
4
The categories of this paper are: cond-mat
16
The categories of this paper are: stat
35
The categories of this paper are: mtrl-th
37
The categories of this paper are: supr-con
36
The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn
31
The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph
15
The categories of this paper are: nucl-ex
3
The categories of this paper are: physics
9
The categories of this paper are: nlin
29
The categories of this paper are: funct-an
28
The categories of this paper are: alg-geom