Sprecher
Beschreibung
With a strong reliance on research software projects in both industry
and for scientific simulations, research software sustainability is
increasingly becoming a major point of contention. A necessary but
nonsufficient aspect of software sustainability is Continuous
Integration and Benchmarking (CI/CB/Cx). In addition, software
flexibility to support newer HPC hardware as well as modern, flexible
interface are also necessary for sustainability. Finally, a mathematical
and HPC software's testing strategies can be complex due to the
different hardware behavior, and the need to ensure numerical accuracy.
In this talk, we will showcase the design of the Ginkgo sparse linear
algebra
framework which features good software design techniques, was designed
with testability, benchmarking as well as Cx practices as centerpieces.