In-memory processing

The term is used for two different things:

  1. In computer science, in-memory processing (PIM) is a computer architecture in which data operations are available directly on the data memory, rather than having to be transferred to CPU registers first.[1] This may improve the power usage and performance of moving data between the processor and the main memory.
  2. In software engineering, in-memory processing is a software architecture where a database is kept entirely in random-access memory (RAM) or flash memory so that usual accesses, in particular read or query operations, do not require access to disk storage.[2] This may allow faster data operations such as "joins", and faster reporting and decision-making in business.[3]

Extremely large datasets may be divided between co-operating systems as in-memory data grids.

  1. ^ Ghose, S. (November 2019). "Processing-in-memory: A workload-driven perspective" (PDF). IBM Journal of Research and Development. 63 (6): 3:1–19. doi:10.1147/JRD.2019.2934048. S2CID 202025511.
  2. ^ Zhang, Hao; Gang Chen; Beng Chin Ooi; Kian-Lee Tan; Meihui Zhang (July 2015). "In-Memory Big Data Management and Processing: A Survey". IEEE Transactions on Knowledge and Data Engineering. 27 (7): 1920–1948. doi:10.1109/TKDE.2015.2427795.
  3. ^ Plattner, Hasso; Zeier, Alexander (2012). In-Memory Data Management: Technology and Applications. Springer Science & Business Media. ISBN 9783642295744.

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