A broadcast-based parallel R-tree method on UPMEM PIM hardware delivers up to 3.66x kernel speedup and 3.4x lower energy than CPU execution on datasets with up to 16M rectangles.
PIM-enabled instructions: A low-overhead, locality-aware processing-in-memory architecture
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Parallel R-tree-based Spatial Query Processing on a Commercial Processing-in-Memory System
A broadcast-based parallel R-tree method on UPMEM PIM hardware delivers up to 3.66x kernel speedup and 3.4x lower energy than CPU execution on datasets with up to 16M rectangles.