Parallel language constructs for tensor product computations on loosely coupled architectures

Distributed memory architectures offer high levels of performance and flexibility, but have proven awkward to program. Current languages for nonshared memory architectures provide a relatively low-level programming environment, and are poorly suited to modular programming, and to the construction of...

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Bibliographic Details
Published in:	Proceedings of the 1989 ACM/IEEE conference on Supercomputing pp. 616 - 626
Main Authors:	Mehrotra, P., van Rosendale, J.
Format:	Conference Proceeding
Language:	English
Published:	New York, NY, USA ACM 01.08.1989 IEEE
Series:	ACM Conferences
Subjects:	Algorithm design and analysis Computer architecture Computer systems organization > Architectures > Parallel architectures Computer systems organization > Architectures > Parallel architectures > Systolic arrays Computing methodologies > Concurrent computing methodologies > Concurrent programming languages Concurrent computing Libraries Memory architecture Modular construction Parallel languages Parallel programming Programming environments Software and its engineering > Software notations and tools > General programming languages > Language features > Concurrent programming structures Software and its engineering > Software notations and tools > General programming languages > Language types > Concurrent programming languages Software and its engineering > Software organization and properties > Contextual software domains > Operating systems > Memory management > Distributed memory Tensile stress
ISBN:	9780897913416, 0897913418
Online Access:	Get full text
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