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Software Construction and Composition Tools for Petascale Computing SCW0837, Final Report.

DE141159517

Publication Date	2014
Personal Author	Epperly, T. G. W.; Hochstein, L.
Page Count	22
Abstract	The majority of scientific software is distributed as source code. As the number of library dependencies and supported platforms increases, so does the complexity of describing the rules for configuring and building software. In this project, we have performed an empirical study of the magnitude of the build problem by examining the development history of two DOE-funded scientific software projects. We have developed MixDown, a meta-build tool, to simplify the task of building applications that depend on multiple third-party libraries. The results of this research indicate that the effort that scientific programmers spend takes a significant fraction of the total development effort and that the use of MixDown can significantly simplify the task of building software with multiple dependencies.
Keywords	Petascale computing Computer architecture Mathematical methods Computing Computer codes Computer programming Software construction Composition tools Supercomputers Applications programs(Computers) Computational fluid dynamics
Source Agency	Technical Information Center Oak Ridge Tennessee
NTIS Subject Category	49 - Electrotechnology 99F - Physical & Theoretical Chemistry 72B - Algebra, Analysis, Geometry, & Mathematical Logic 62B - Computer Software 62A - Computer Hardware 99 - Chemistry 72E - Operations Research
Corporate Authors	Lawrence Livermore National Lab., CA.; Department of Energy, Washington, DC
Supplemental Notes	Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	201509

Software Construction and Composition Tools for Petascale Computing SCW0837, Final Report.

Software Construction and Composition Tools for Petascale Computing SCW0837, Final Report.
DE141159517

Publication Date	2014
Personal Author	Epperly, T. G. W.; Hochstein, L.
Page Count	22
Abstract	The majority of scientific software is distributed as source code. As the number of library dependencies and supported platforms increases, so does the complexity of describing the rules for configuring and building software. In this project, we have performed an empirical study of the magnitude of the build problem by examining the development history of two DOE-funded scientific software projects. We have developed MixDown, a meta-build tool, to simplify the task of building applications that depend on multiple third-party libraries. The results of this research indicate that the effort that scientific programmers spend takes a significant fraction of the total development effort and that the use of MixDown can significantly simplify the task of building software with multiple dependencies.
Keywords	Petascale computing Computer architecture Mathematical methods Computing Computer codes Computer programming Software construction Composition tools Supercomputers Applications programs(Computers) Computational fluid dynamics
Source Agency	Technical Information Center Oak Ridge Tennessee
NTIS Subject Category	49 - Electrotechnology 99F - Physical & Theoretical Chemistry 72B - Algebra, Analysis, Geometry, & Mathematical Logic 62B - Computer Software 62A - Computer Hardware 99 - Chemistry 72E - Operations Research
Corporate Authors	Lawrence Livermore National Lab., CA.; Department of Energy, Washington, DC
Supplemental Notes	Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	201509