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pimDB: From main-memory DBMS to processing-in-memory DBMS-engines on intelligent memories

  • The performance and scalability of modern data-intensive systems are limited by massive data movement of growing datasets across the whole memory hierarchy to the CPUs. Such traditional processor-centric DBMS architectures are bandwidth- and latency-bound. Processing-in-Memory (PIM) designs seek to overcome these limitations by integrating memory and processing functionality on the same chip. PIM targets near- or in-memory data processing, leveraging the greater in-situ parallelism and bandwidth. In this paper, we introduce pimDB and provide an initial comparison of processor-centric and PIM-DBMS approaches under different aspects, such as scalability and parallelism, cache-awareness, or PIM-specific compute/bandwidth tradeoffs. The evaluation is performed end-to-end on a real PIM hardware system from UPMEM.

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Author of HS ReutlingenPetrov, Ilia; Bernhardt, Arthur
Erschienen in:DaMoN '23: Proceedings of the 19th International Workshop on Data Management on New Hardware, 18-23 June 2023, Seattle
Publisher:Association for Computing Machinery
Place of publication:New York
Document Type:Conference proceeding
Publication year:2023
Page Number:9
First Page:44
Last Page:52
DDC classes:004 Informatik
Open access?:Nein