2014/07/10 by Jed Brown, Brown, Jed, Matthew G. Knepley +4
Computer Science · Decision Sciences · #Computational Engineering #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Finance #Mathematical Software (cs.MS) #Scientific Computing and Data Management #Simulation Techniques and Applications #Software Engineering (cs.SE) #and Science (cs.CE) #cs.CE #cs.MS #cs.SE
paper · pdf · doi:10.48550/arxiv.1407.2905
6 pages
arxiv created 2014/07/10 · openalex publication_date 2014/07/10 · arxiv updated 2014/07/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31
Build-time configuration and environment assumptions are hampering progress and usability in scientific software. That which would be utterly unacceptable in non-scientific software somehow passes for the norm in scientific packages. The community needs reusable software packages that are easy use and flexible enough to accommodate next-generation simulation and analysis demands.