  GPU accelerators have become an important backbone for scientific high
performance computing, and the performance advances obtained from adopting new
GPU hardware are significant. In this paper we take a first look at NVIDIA's
newest server line GPU, the A100 architecture part of the Ampere generation.
Specifically, we assess its performance for sparse linear algebra operations
that form the backbone of many scientific applications and assess the
performance improvements over its predecessor.
