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GLU: a system for scalable and resilient large-grain parallel processing

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2 Author(s)
Jagannathan, R. ; Comput. Sci. Lab., SRI Int., Menlo Park, CA, USA ; Faustini, A.

Describes a system called GLU for large-grain parallel processing. GLU provides for ease of programming, scalable performance, and resilient execution. GLU is a hybrid system that combines the powerful abstract concepts of declarative systems with the practical concrete aspects of procedural systems. In the GLU programming model, a program is declarative at the higher levels and procedural at lower levels. The GLU abstract architecture for executing GLU programs is based on the demand-driven dataflow execution model. This execution model facilitates automatic exploitation of large-grain parallelism inherent in a program and provides resilience from partial hardware failures

Published in:

System Sciences, 1991. Proceedings of the Twenty-Fourth Annual Hawaii International Conference on  (Volume:i )

Date of Conference:

8-11 Jan 1991