Communications of the ACM · 1960 · 314 citations · 2 references
ComputingComputer ScienceComputer SystemsAlgorithmsData StructuresStorage SystemsData Structure AlgorithmsErasure CodingGarbage CollectionMemory HierarchyData Redundancy ReductionOverlap DetectionRedundancy Elimination
An important property of the Newell Shaw-Simon scheme for computer storage of lists is that data having multiple occurrences need not be stored at more than one place in the computer. That is, lists may be “overlapped.” Unfortunately, overlapping poses a problem for subsequent erasure. Given a list that is no longer needed, it is desired to erase just those parts that do not overlap other lists. In LISP, McCarthy employs an elegant but inefficient solution to the problem. The present paper describes a general method which enables efficient erasure. The method employs interspersed reference counts to describe the extent of the overlapping.
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A Fortran-Compiled List-Processing Language
H. Gelernter, Josie Hansen, C. L. Gerberich · Journal of the ACM · 1960 · 61 citations · Full text