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PrismX: A Single-Machine System for Querying Big Graphs
Abstract
We demonstrate PrismX (PRAM with SSDs as Memory eXtension), a single-machine system for graph analytics. PrismX allows users to make practical use of existing PRAM algorithms without any change. To cope with the limited DRAM capacity, it employs NVMe SSDs as memory extension. Leveraging graph preprocessing, PrismX implements a series of system optimization strategies, which automatically and transparently adapt to the runtime workload, no matter whether the computation is CPU-bound or I/O-bound. We demonstrate PrismX for its (1) ease of programming by reusing PRAM algorithms, (2) efficiency by comparing with the state-of-the-art graph systems, single-machine or multi-machine, in-memory or out-of-core; (3) parallel scalability of in-memory PRAM algorithms, reducing runtime when more CPU cores are available; and (4) applications in credit risk assessment.
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“However, for large-scale graphs, the exponential growth in the number of nodes, edges, and paths significantly complicates the retrieval [23, 53, 54, 67].”
From LEGO-GraphRAG: Modularizing Graph-Based Retrieval-Augmented Generation for Design Space Exploration (2025) · cites this paper as [67]
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Research works printed but not linked: 15
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- Xiangyu Zhi, Xiao Yan, Bo Tang, Ziyao Yin, Yanchao Zhu, and Minqi Zhou. 2023. CoroGraph: Bridging Cache Efficiency and Work Efficiency for Graph Algorithm Execution. PVLDB 17, 4 (2023).
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Cited by
Sorted by citations
LEGO-GraphRAG: Modularizing Graph-Based Retrieval-Augmented Generation for Design Space Exploration
Cao, Y., Gao, Z., Li, Z., Xie, X., Zhou, S. K., & Xu, J. (2025) · Proceedings of the VLDB Endowment · doi:10.14778/3748191.3748194 · Cited by 11
Metadata
- Authors
- Liu, S., Liu, Y., & Fan, W.
- Affiliations
- Shenzhen Institute of Computing Sciences, China
- Beihang University (CN)
- Venue
- Proceedings of the VLDB Endowment
- Published
- 2024-08
- Volume
- 17
- Issue
- 12
- Pages
- 4485-4488
- ISSN
- 2150-8097 (ISSN-L)
- OpenAlex
- W4404181167
- Cited by
- 2
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1
- FWCI
- 0.28
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Proceedings of the VLDB Endowment (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Graph Theory and Algorithms
- Physical Sciences › Computer Science › Information Systems › Advanced Database Systems and Queries
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Keywords
- graph analysis, PRAM algorithms, NVMe SSD, memory extension, large-scale graphs, graph preprocessing, parallel scalability, credit risk assessment
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- The paper
- Liu, S., Liu, Y., & Fan, W. (2024). PrismX: A Single-Machine System for Querying Big Graphs. Proceedings of the VLDB Endowment. https://doi.org/10.14778/3685800.3685906
