The experience of using DVM and SAPFOR systems in semi automatic parallelization of an application for 3D modeling in geophysics

The DVM and SAPFOR systems were primary designed to simplify the development of parallel programs of scientific-technical calculations. DVM includes CDVMH and Fortran-DVMH programming languages which are the extensions of standard C and Fortran languages by parallelism specifications. The DVMH progr...

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Vydáno v:The Journal of supercomputing Ročník 75; číslo 12; s. 7833 - 7843
Hlavní autoři: Kataev, Nikita, Kolganov, Alexander
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.12.2019
Springer Nature B.V
Témata:
Accelerators
Clusters
Compilers
Computer Science
Computer simulation
Debugging
Elastic waves
FORTRAN
Geophysics
Interpreters
Mapping
Parallel processing
Parallel programming
Processor Architectures
Programming Languages
Software development
Three dimensional models
3D modeling
Automation of parallelization
Curvilinear grid
DVM
Heterogeneous computational cluster
SAPFOR
GPU
ISSN:0920-8542, 1573-0484
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Shrnutí:The DVM and SAPFOR systems were primary designed to simplify the development of parallel programs of scientific-technical calculations. DVM includes CDVMH and Fortran-DVMH programming languages which are the extensions of standard C and Fortran languages by parallelism specifications. The DVMH programs can be efficiently executed on heterogeneous computational clusters with accelerators. SAPFOR is a software development suit that can be used to produce a parallel version of a sequential program in a semiautomatic way, according to DVMH model of the parallel programming. The paper considers the application of DVM and SAPFOR systems at all stages of the program parallelization on the example of mapping of 3D elastic waves simulation method on high-performance heterogeneous clusters with GPUs. SAPFOR enables us to investigate original sequential program. Then, Fortran-DVMH language is used to exploit parallelism. Tools for functional and performance debugging, that are part of the DVM system, allow to resolve errors in the parallel program and to improve its performance. The paper also compares the DVMH-based program with a program obtained after manual parallelization using MPI programming technology.
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ISSN:0920-8542
1573-0484
DOI:10.1007/s11227-018-2551-y