Toward a common component architecture for high-performance scientific computing

Describes work in progress to develop a standard for interoperability among high-performance scientific components. This research stems from the growing recognition that the scientific community needs to better manage the complexity of multidisciplinary simulations and better address scalable perfor...

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Published in:Proceedings of the IEEE International Symposium on High Performance Distributed Computing pp. 115 - 124
Main Authors: Armstrong, R., Gannon, D., Geist, A., Keahey, K., Kohn, S., McInnes, L., Parker, S., Smolinski, B.
Format: Conference Proceeding Journal Article
Language:English
Published: IEEE 1999
Subjects:
Component architectures
Computer science
Context modeling
Laboratories
Mathematics
Object oriented modeling
Parallel programming
Scientific computing
Software systems
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ISBN:0780356810, 9780780356818
ISSN:1082-8907
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Abstract Describes work in progress to develop a standard for interoperability among high-performance scientific components. This research stems from the growing recognition that the scientific community needs to better manage the complexity of multidisciplinary simulations and better address scalable performance issues on parallel and distributed architectures. The driving force for this is the need for fast connections among components that perform numerically intensive work and for parallel collective interactions among components that use multiple processes or threads. This paper focuses on the areas we believe are most crucial in this context, namely an interface definition language that supports scientific abstractions for specifying component interfaces and a port connection model for specifying component interactions.
AbstractList This paper describes work in progress to develop a standard for interoperability among high-performance scientific components. This research stems from growing recognition that the scientific community needs to better manage the complexity of multidisciplinary simulations and better address scalable performance issues on parallel and distributed architectures. Driving forces are the need for fast connections among components that perform numerically intensive work and for parallel collective interactions among components that use multiple processes or threads. This paper focuses on the areas we believe are most crucial in this context, namely, an interface definition language that supports scientific abstractions for specifying component interfaces and a ports connection model for specifying component interactions.
Describes work in progress to develop a standard for interoperability among high-performance scientific components. This research stems from the growing recognition that the scientific community needs to better manage the complexity of multidisciplinary simulations and better address scalable performance issues on parallel and distributed architectures. The driving force for this is the need for fast connections among components that perform numerically intensive work and for parallel collective interactions among components that use multiple processes or threads. This paper focuses on the areas we believe are most crucial in this context, namely an interface definition language that supports scientific abstractions for specifying component interfaces and a port connection model for specifying component interactions.
Author Gannon, D.
Parker, S.
Smolinski, B.
McInnes, L.
Geist, A.
Keahey, K.
Armstrong, R.
Kohn, S.
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Snippet Describes work in progress to develop a standard for interoperability among high-performance scientific components. This research stems from the growing...
This paper describes work in progress to develop a standard for interoperability among high-performance scientific components. This research stems from growing...
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SubjectTerms Component architectures
Computer science
Context modeling
Laboratories
Mathematics
Object oriented modeling
Parallel programming
Scientific computing
Software systems
Yarn
Title Toward a common component architecture for high-performance scientific computing
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