Incorporating data flow ideas into von neumann processors for parallel execution
IEEE Transactions on Computers
Parallel implementations of functional programming languages
The Computer Journal - Special issue on Lazy functional programming
Can dataflow subsume von Neumann computing?
ISCA '89 Proceedings of the 16th annual international symposium on Computer architecture
Methods for handling structures in data-flow systems
ISCA '85 Proceedings of the 12th annual international symposium on Computer architecture
The VAL Language: Description and Analysis
ACM Transactions on Programming Languages and Systems (TOPLAS)
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The threat of continuous data copying is one of the key problems in applicative programming. The opportunities to implement functional data structures as updatable objects, thus avoiding any form of copying, are discussed. The notion of incremental structures and associated storage is used. Its specification is modified so as to handle sequential and shared structures. The former can be used in the case when only data dependencies and not data values are considered in source program analysis. The latter can be used for nondeterministic applications such as system programming.