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High-performance software, as all software, continuously evolves. Besides the normal changes in user requirements, e.g., the wish to solve a variation of a scientific problem, such software is also challenged by a flood of new technologies that promise ...

Many scientists and engineers who implement high performance computing (HPC) software have adopted the object-oriented (OO) Fortran paradigm. One of the challenges faced by OO Fortran developers is the inability to obtain high level software design ...

The software engineering community has widely used design patterns to solve software design problems and improve software development. However, there is little evidence about whether the use of design patterns has the same effect in a parallel computing ...

Many dense linear algebra (DLA) operations are easy to understand at a high level and users get functional DLA code on new hardware relatively quickly. As a result, many people consider DLA to be a "solved domain." The truth is that DLA is not solved. ...

This paper presents a documentation and development methodology to facilitate the certification of Computational Science and Engineering (CSE) software that is produced by professional end user developers to solve mathematical models of physical ...

This paper summarizes a strategy for parallelizing a legacy Fortran 77 program using the object-oriented (OO) and coarray features that entered Fortran in the 2003 and 2008 standards, respectively. OO programming (OOP) facilitates the construction of an ...

Reproducibility, the ability to repeat program executions with the same numerical result or code behavior, is crucial for computational science and engineering applications. However, non-determinism in concurrency scheduling often hampers achieving this ...