Background: The development of scientific software applications is far from trivial, due to the
constant increase in the necessary complexity of these applications, their increasing size …

The present panorama of HPC architectures is extremely heterogeneous, ranging from
traditional multi-core CPU processors, supporting a wide class of applications but delivering …

Partitioned multi-physics simulations allow to reuse existing solvers and to combine them to
multi-physics scenarios. This provides not only greater flexibility and improved time-to …

Fast numerical libraries have been a cornerstone of scientific computing for decades, but
this comes at a price. Programs may be tied to vendor specific software ecosystems resulting …

Methods and tools for refactoring of software have been extensively studied during the last
decades, and we argue that there is now a need for additional studies of the effects of …

District level energy simulations often require large datasets to extensively incorporate the
semantic and topological information into the simulation environments. Moreover, the …

Modern software systems are growing increasingly complex, requiring increased complexity
of software and software development process (SDP). Most software complexity …

As software systems become increasingly heterogeneous, the ability of compilers to reason
about an entire system has decreased. When components of a system are not implemented …

The development of high performance computing applications is considerably different from
traditional software development. This distinction is due to the complex hardware systems …

With approaching exascale performance, applications in the domain of high-performance
computing (HPC) have to scale to an ever-increasing amount of compute nodes. The Global …