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
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