Raising the level of abstraction for developing message passing applications
Abstract Message Passing Interface (MPI) is the most popular standard for writing portable and scalable parallel applications for distributed memory architectures. Writing efficient parallel applications using MPI is a complex task, mainly due to the extra burden on programmers to explicitly handle...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Arora, Ritu [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2010 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media, LLC 2010 |
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| Übergeordnetes Werk: |
Enthalten in: The journal of supercomputing - Springer US, 1987, 59(2010), 2 vom: 09. Nov., Seite 1079-1100 |
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| Übergeordnetes Werk: |
volume:59 ; year:2010 ; number:2 ; day:09 ; month:11 ; pages:1079-1100 |
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| DOI / URN: |
10.1007/s11227-010-0490-3 |
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OLC2033938662 |
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| 520 | |a Abstract Message Passing Interface (MPI) is the most popular standard for writing portable and scalable parallel applications for distributed memory architectures. Writing efficient parallel applications using MPI is a complex task, mainly due to the extra burden on programmers to explicitly handle all the complexities of message-passing (viz., inter-process communication, data distribution, load-balancing, and synchronization). The main goal of our research is to raise the level of abstraction of explicit parallelization using MPI such that the effort involved in developing parallel applications is significantly reduced in terms of the reduction in the amount of code written manually while avoiding intrusive changes to existing sequential programs. In this research, generative programming tools and techniques are combined with a domain-specific language, Hi-PaL (High-Level Parallelization Language), for automating the process of generating and inserting the required code for parallelization into the existing sequential applications. The results show that the performance of the generated applications is comparable to the manually written versions of the applications, while requiring no explicit changes to the existing sequential code. | ||
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10.1007/s11227-010-0490-3 doi (DE-627)OLC2033938662 (DE-He213)s11227-010-0490-3-p DE-627 ger DE-627 rakwb eng 004 620 VZ Arora, Ritu verfasserin aut Raising the level of abstraction for developing message passing applications 2010 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2010 Abstract Message Passing Interface (MPI) is the most popular standard for writing portable and scalable parallel applications for distributed memory architectures. Writing efficient parallel applications using MPI is a complex task, mainly due to the extra burden on programmers to explicitly handle all the complexities of message-passing (viz., inter-process communication, data distribution, load-balancing, and synchronization). The main goal of our research is to raise the level of abstraction of explicit parallelization using MPI such that the effort involved in developing parallel applications is significantly reduced in terms of the reduction in the amount of code written manually while avoiding intrusive changes to existing sequential programs. In this research, generative programming tools and techniques are combined with a domain-specific language, Hi-PaL (High-Level Parallelization Language), for automating the process of generating and inserting the required code for parallelization into the existing sequential applications. The results show that the performance of the generated applications is comparable to the manually written versions of the applications, while requiring no explicit changes to the existing sequential code. Parallel programming Explicit parallelization MPI Abstraction Generative programming Domain-specific language Bangalore, Purushotham aut Mernik, Marjan aut Enthalten in The journal of supercomputing Springer US, 1987 59(2010), 2 vom: 09. Nov., Seite 1079-1100 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:59 year:2010 number:2 day:09 month:11 pages:1079-1100 https://doi.org/10.1007/s11227-010-0490-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 59 2010 2 09 11 1079-1100 |
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10.1007/s11227-010-0490-3 doi (DE-627)OLC2033938662 (DE-He213)s11227-010-0490-3-p DE-627 ger DE-627 rakwb eng 004 620 VZ Arora, Ritu verfasserin aut Raising the level of abstraction for developing message passing applications 2010 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2010 Abstract Message Passing Interface (MPI) is the most popular standard for writing portable and scalable parallel applications for distributed memory architectures. Writing efficient parallel applications using MPI is a complex task, mainly due to the extra burden on programmers to explicitly handle all the complexities of message-passing (viz., inter-process communication, data distribution, load-balancing, and synchronization). The main goal of our research is to raise the level of abstraction of explicit parallelization using MPI such that the effort involved in developing parallel applications is significantly reduced in terms of the reduction in the amount of code written manually while avoiding intrusive changes to existing sequential programs. In this research, generative programming tools and techniques are combined with a domain-specific language, Hi-PaL (High-Level Parallelization Language), for automating the process of generating and inserting the required code for parallelization into the existing sequential applications. The results show that the performance of the generated applications is comparable to the manually written versions of the applications, while requiring no explicit changes to the existing sequential code. Parallel programming Explicit parallelization MPI Abstraction Generative programming Domain-specific language Bangalore, Purushotham aut Mernik, Marjan aut Enthalten in The journal of supercomputing Springer US, 1987 59(2010), 2 vom: 09. Nov., Seite 1079-1100 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:59 year:2010 number:2 day:09 month:11 pages:1079-1100 https://doi.org/10.1007/s11227-010-0490-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 59 2010 2 09 11 1079-1100 |
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Abstract Message Passing Interface (MPI) is the most popular standard for writing portable and scalable parallel applications for distributed memory architectures. Writing efficient parallel applications using MPI is a complex task, mainly due to the extra burden on programmers to explicitly handle all the complexities of message-passing (viz., inter-process communication, data distribution, load-balancing, and synchronization). The main goal of our research is to raise the level of abstraction of explicit parallelization using MPI such that the effort involved in developing parallel applications is significantly reduced in terms of the reduction in the amount of code written manually while avoiding intrusive changes to existing sequential programs. In this research, generative programming tools and techniques are combined with a domain-specific language, Hi-PaL (High-Level Parallelization Language), for automating the process of generating and inserting the required code for parallelization into the existing sequential applications. The results show that the performance of the generated applications is comparable to the manually written versions of the applications, while requiring no explicit changes to the existing sequential code. © Springer Science+Business Media, LLC 2010 |
| abstractGer |
Abstract Message Passing Interface (MPI) is the most popular standard for writing portable and scalable parallel applications for distributed memory architectures. Writing efficient parallel applications using MPI is a complex task, mainly due to the extra burden on programmers to explicitly handle all the complexities of message-passing (viz., inter-process communication, data distribution, load-balancing, and synchronization). The main goal of our research is to raise the level of abstraction of explicit parallelization using MPI such that the effort involved in developing parallel applications is significantly reduced in terms of the reduction in the amount of code written manually while avoiding intrusive changes to existing sequential programs. In this research, generative programming tools and techniques are combined with a domain-specific language, Hi-PaL (High-Level Parallelization Language), for automating the process of generating and inserting the required code for parallelization into the existing sequential applications. The results show that the performance of the generated applications is comparable to the manually written versions of the applications, while requiring no explicit changes to the existing sequential code. © Springer Science+Business Media, LLC 2010 |
| abstract_unstemmed |
Abstract Message Passing Interface (MPI) is the most popular standard for writing portable and scalable parallel applications for distributed memory architectures. Writing efficient parallel applications using MPI is a complex task, mainly due to the extra burden on programmers to explicitly handle all the complexities of message-passing (viz., inter-process communication, data distribution, load-balancing, and synchronization). The main goal of our research is to raise the level of abstraction of explicit parallelization using MPI such that the effort involved in developing parallel applications is significantly reduced in terms of the reduction in the amount of code written manually while avoiding intrusive changes to existing sequential programs. In this research, generative programming tools and techniques are combined with a domain-specific language, Hi-PaL (High-Level Parallelization Language), for automating the process of generating and inserting the required code for parallelization into the existing sequential applications. The results show that the performance of the generated applications is comparable to the manually written versions of the applications, while requiring no explicit changes to the existing sequential code. © Springer Science+Business Media, LLC 2010 |
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Raising the level of abstraction for developing message passing applications |
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https://doi.org/10.1007/s11227-010-0490-3 |
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Bangalore, Purushotham Mernik, Marjan |
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10.1007/s11227-010-0490-3 |
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2024-07-03T18:58:53.315Z |
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