Informatik
Refine
Year of publication
- 2023 (40) (remove)
Document Type
- Conference proceeding (40) (remove)
Is part of the Bibliography
- yes (40)
Institute
- Informatik (40)
Publisher
- Springer (10)
- IEEE (7)
- Academic Conferences International (2)
- Association for Computing Machinery (2)
- Association for Information Systems (2)
- Hochschule Reutlingen (2)
- IARIA (2)
- IOP Publishing (2)
- RWTH Aachen (2)
- University of Hawaii at Manoa (2)
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.