Abstract
This paper presents a highly parallel machine architecture for logic programs. We propose a Reduction-Based Parallel Inference Machine: PIM-R and describe the parallel execution mechanisms for PIM-R to run Prolog and Concurrent Prolog programs and sofware simulation results.
PIM-R uses the structure-copy method. It also uses the only reducible goal copy method, a unique process-structuring method, and the reverse compaction method to decrease the amount, of copying and various copyingrelated operations and the number of packets passing through the network. PIM-R architecture features include the distributed shared memory for Concurrent Prolog, network nodes for efficient packet distribution, and the structure memory to store a part of structured data for reducing the copying overhead.
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Onai, R., Aso, M., Shimizu, H. et al. Architecture of a Reduction-Based Parallel Inference Machine: PIM-R. NGCO 3, 197–228 (1985). https://doi.org/10.1007/BF03037069
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DOI: https://doi.org/10.1007/BF03037069