Optimizing computation-communication overlap in asynchronous task-based programs Article Swipe
Emilio Castillo
,
Nikhil Jain
,
Marc Casas
,
Miquel Moretó
,
Martin Schulz
,
Ramón Beivide
,
Mateo Valero
,
Abhinav Bhatelé
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1145/3293883.3295720
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1145/3293883.3295720
Asynchronous task-based programming models are gaining popularity to address programmability and performance challenges in high performance computing. One of the main attractions of these models and runtimes is their potential to automatically expose and exploit overlap of computation with communication. However, inefficient interactions between such programming models and the underlying messaging layer (in most cases, MPI) limit the achievable computation-communication overlap and negatively impact the performance of parallel programs. We propose to expose information about MPI internals to a task-based runtime system to make better scheduling decisions. In particular, we show how existing mechanisms used to profile MPI implementations can be used to share information between MPI and a task-based runtime. Further, an evaluation of the proposed method shows performance improvements of up to 30.7% for applications with collective communication.
Related Topics
Concepts
Computer science
Asynchronous communication
Exploit
Implementation
Computation
Scheduling (production processes)
Distributed computing
Task (project management)
Programming paradigm
Message passing
Parallel computing
Models of communication
Task analysis
Popularity
Computer architecture
Computer network
Programming language
Computer security
Psychology
Operations management
Economics
Social psychology
Communication
Management
Sociology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3293883.3295720
- OA Status
- green
- Cited By
- 4
- References
- 4
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2912605374
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2912605374Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1145/3293883.3295720Digital Object Identifier
- Title
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Optimizing computation-communication overlap in asynchronous task-based programsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-02-05Full publication date if available
- Authors
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Emilio Castillo, Nikhil Jain, Marc Casas, Miquel Moretó, Martin Schulz, Ramón Beivide, Mateo Valero, Abhinav BhateléList of authors in order
- Landing page
-
https://doi.org/10.1145/3293883.3295720Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://www.osti.gov/biblio/1597600Direct OA link when available
- Concepts
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Computer science, Asynchronous communication, Exploit, Implementation, Computation, Scheduling (production processes), Distributed computing, Task (project management), Programming paradigm, Message passing, Parallel computing, Models of communication, Task analysis, Popularity, Computer architecture, Computer network, Programming language, Computer security, Psychology, Operations management, Economics, Social psychology, Communication, Management, SociologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
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2020: 4Per-year citation counts (last 5 years)
- References (count)
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4Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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