  We have proposed a method to accelerate the computation of Kubo formula
optimized to vector processors. The key concept is parallel evaluation of
multiple integration points, enabled by batched linear algebra operations.
Through benchmark comparisons between the vector-based NEC SX-Aurora TSUBASA
and the scalar-based Xeon machines in node performance, we verified that the
vectorized implementation was speeded up to approximately 2.2 times faster than
the baseline. We have also shown that the performance improvement due to
padding, indicating that avoiding the memory-bank conflict is critically
important in this type of task.
