[smhx]

Link to the paper: https://arxiv.org/abs/1607.01759

Quotes from the paper:

Both char-CNN and VDCNN are trained on a NVIDIA Tesla K40 GPU, while our models are trained on a CPU using 20 threads.

Table2 shows that methods using convolutions are several orders of magnitude slower than fastText.

Our speed-up compared to CNN based methods increases with the size of the dataset, going up to atleast a 15, 000× speed-up.

Table 2 shows the speedups of:

ConvNets: 2 to 5 days on GPUs

FastText: 52 seconds on CPU