Supporting scientists in re-engineering sequential programs to parallel using model-driven engineering

Mohamed Almorsy; John Grundy

doi:10.1109/SE4HPCS.2015.8

Supporting scientists in re-engineering sequential programs to parallel using model-driven engineering

Mohamed Almorsy, John Grundy

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

2 Citations (Scopus)

Abstract

Developing complex computational-intensive and data-intensive scientific applications requires effective utilization of the computational power of the available computing platforms including grids, clouds, clusters, multi-core and many-core processors, and graphical processing units (GPUs). However, scientists who need to leverage such platforms are usually not parallel or distributed programming experts. Thus, they face numerous challenges when implementing and porting their software-based experimental tools to such platforms. In this paper, we introduce a sequential-to-parallel engineering approach to help scientists in engineering their scientific applications. Our approach is based on capturing sequential program details, planned parallelization aspects, and program deployment details using a set of domain-specific visual languages (DSVLs). Then, using code generation, we generate the corresponding parallel program using necessary parallel and distributed programming models (MPI, Open CL, or Open MP). We summarize three case studies (matrix multiplication, N-Body simulation, and digital signal processing) to evaluate our approach.

Original language	English
Title of host publication	Proceedings - The 2015 International Workshop on Software Engineering for High Performance Computing in Science, SE4HPCS 2015
Editors	Jeffrey Carver, Paolo Ciancarini, Neil Chue Hong
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1-8
Number of pages	8
ISBN (Electronic)	9781467370820, 9781479919345
DOIs	https://doi.org/10.1109/SE4HPCS.2015.8
Publication status	Published - 2015
Externally published	Yes
Event	IEEE/ACM International Workshop on Software Engineering for High Performance Computing in Science 2015 - Florence, Italy Duration: 19 May 2015 → 19 May 2015 Conference number: 1st https://se4science.org/workshops/se4hpcs15/

Conference

Conference	IEEE/ACM International Workshop on Software Engineering for High Performance Computing in Science 2015
Abbreviated title	SE4HPCS 2015
Country/Territory	Italy
City	Florence
Period	19/05/15 → 19/05/15
Internet address	https://se4science.org/workshops/se4hpcs15/

Keywords

Domain-specific Visual Languages
High-Performance Computing
Model-driven Engineering
Parallel Programming

Access to Document

10.1109/SE4HPCS.2015.8

Cite this

Almorsy, M., & Grundy, J. (2015). Supporting scientists in re-engineering sequential programs to parallel using model-driven engineering. In J. Carver, P. Ciancarini, & N. Chue Hong (Eds.), Proceedings - The 2015 International Workshop on Software Engineering for High Performance Computing in Science, SE4HPCS 2015 (pp. 1-8). Article 7173504 IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SE4HPCS.2015.8

Almorsy, Mohamed ; Grundy, John. / Supporting scientists in re-engineering sequential programs to parallel using model-driven engineering. Proceedings - The 2015 International Workshop on Software Engineering for High Performance Computing in Science, SE4HPCS 2015. editor / Jeffrey Carver ; Paolo Ciancarini ; Neil Chue Hong. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2015. pp. 1-8

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abstract = "Developing complex computational-intensive and data-intensive scientific applications requires effective utilization of the computational power of the available computing platforms including grids, clouds, clusters, multi-core and many-core processors, and graphical processing units (GPUs). However, scientists who need to leverage such platforms are usually not parallel or distributed programming experts. Thus, they face numerous challenges when implementing and porting their software-based experimental tools to such platforms. In this paper, we introduce a sequential-to-parallel engineering approach to help scientists in engineering their scientific applications. Our approach is based on capturing sequential program details, planned parallelization aspects, and program deployment details using a set of domain-specific visual languages (DSVLs). Then, using code generation, we generate the corresponding parallel program using necessary parallel and distributed programming models (MPI, Open CL, or Open MP). We summarize three case studies (matrix multiplication, N-Body simulation, and digital signal processing) to evaluate our approach.",

keywords = "Domain-specific Visual Languages, High-Performance Computing, Model-driven Engineering, Parallel Programming",

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publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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Almorsy, M & Grundy, J 2015, Supporting scientists in re-engineering sequential programs to parallel using model-driven engineering. in J Carver, P Ciancarini & N Chue Hong (eds), Proceedings - The 2015 International Workshop on Software Engineering for High Performance Computing in Science, SE4HPCS 2015., 7173504, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 1-8, IEEE/ACM International Workshop on Software Engineering for High Performance Computing in Science 2015
, Florence, Italy, 19/05/15. https://doi.org/10.1109/SE4HPCS.2015.8

Supporting scientists in re-engineering sequential programs to parallel using model-driven engineering. / Almorsy, Mohamed; Grundy, John.
Proceedings - The 2015 International Workshop on Software Engineering for High Performance Computing in Science, SE4HPCS 2015. ed. / Jeffrey Carver; Paolo Ciancarini; Neil Chue Hong. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2015. p. 1-8 7173504.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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ER -

Almorsy M, Grundy J. Supporting scientists in re-engineering sequential programs to parallel using model-driven engineering. In Carver J, Ciancarini P, Chue Hong N, editors, Proceedings - The 2015 International Workshop on Software Engineering for High Performance Computing in Science, SE4HPCS 2015. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2015. p. 1-8. 7173504 doi: 10.1109/SE4HPCS.2015.8

Supporting scientists in re-engineering sequential programs to parallel using model-driven engineering

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Keywords

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