Thanks for clarification.
From the paper:

The length of a cycle and the input parameter stepsize
can be easily computed from the number of iterations in
an epoch. An epoch is calculated by dividing the number
of training images by the batchsize used. For example,
CIFAR-10 has 50, 000 training images and the batchsize is
100 so an epoch = 50, 000/100 = 500 iterations. The final
accuracy results are actually quite robust to cycle length but
experiments show that it often is good to set stepsize equal
to 2 − 10 times the number of iterations in an epoch. For
example, setting stepsize = 8 * epoch with the CIFAR-10
training run (as shown in Figure 1) only gives slightly better
results than setting stepsize = 2 * epoch.