CPMA: An Efficient Batch-Parallel Compressed Set Without Pointers

Brian Wheatman; Randal Burns; Aydın Buluç; Helen Xu

doi:10.1145/3627535.3638492

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arXiv · 2305.05055

CPMA: An Efficient Batch-Parallel Compressed Set Without Pointers

Brian Wheatman·Randal Burns·Aydın Buluç·Helen Xu

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Abstract

This paper introduces the batch-parallel Compressed Packed Memory Array (CPMA), a compressed, dynamic, ordered set data structure based on the Packed Memory Array (PMA). Traditionally, batch-parallel sets are built on pointer-based data structures such as trees because pointer-based structures enable fast parallel unions via pointer manipulation. When compared with cache-optimized trees, PMAs were slower to update but faster to scan. The batch-parallel CPMA overcomes this tradeoff between updates and scans by optimizing for cache-friendliness. On average, the CPMA achieves 3x faster batch-insert throughput and 4x faster range-query throughput compared with compressed PaC-trees, a state-of-the-art batch-parallel set library based on cache-optimized trees. We further evaluate the CPMA compared with compressed PaC-trees and Aspen, a state-of-the-art system, on a real-world application of dynamic-graph processing. The CPMA is on average 1.2x faster on a suite of graph algorithms and 2x faster on batch inserts when compared with compressed PaC-trees. Furthermore, the CPMA is on average 1.3x faster on graph algorithms and 2x faster on batch inserts compared with Aspen.

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BibTeX RIS

Brian Wheatman, Randal Burns, Aydın Buluç, Helen Xu. 2023-05-08. CPMA: An Efficient Batch-Parallel Compressed Set Without Pointers. https://doi.org/10.1145/3627535.3638492

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