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One of the differences among the various approaches to suspension-basedtabled evaluation is the scheduling strategy. The two most popular strategiesare local and batched evaluation.  The former collects all the solutions to a tabled predicate before making anyone of them available outside the tabled computation. The latter returnsanswers one by one before computing them all, which in principle is better ifonly one answer (or a subset of the answers) is desired.  Batched evaluation is closer to SLD evaluation in that it computes solutionslazily as they are demanded, but it may need arbitrarily more memory than localevaluation, which is able to reclaim memory sooner. Some programs which inpractice can be executed under the local strategy quickly run out of memoryunder batched evaluation. This has led to the general adoption of localevaluation at the expense of the more depth-first batched strategy.  In this paper we study the reasons for the high memory consumption of batchedevaluation and propose a new scheduling strategy which we have termed swappingevaluation. Swapping evaluation also returns answers one by one beforecompleting a tabled call, but its memory usage can be orders of magnitude lessthan batched evaluation. An experimental implementation in the XSB system showsthat swapping evaluation is a feasible memory-scalable strategy that need notcompromise execution speed.

Swapping Evaluation: A Memory-Scalable Solution for Answer-On-Demand Tabling