In-memory processing: Difference between revisions

Revision as of 10:53, 23 December 2023

Revision as of 10:55, 23 December 2023

Line 5:

# 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.<ref>{{Cite journal |last=Ghose |first=S. |date=November 2019 |title=Processing-in-memory: A workload-driven perspective |url=https://www.pdl.cmu.edu/PDL-FTP/associated/19ibmjrd_pim.pdf |journal=IBM Journal of Research and Development |volume=63 |issue=6 |pages=3:1–19|doi=10.1147/JRD.2019.2934048 |s2cid=202025511 }}</ref> This may improve the [[Electric power|power usage]] and [[Computer performance|performance]] of moving data between the processor and the main memory.

# 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 accessaccesses, in particular read andor joinquery operations, doesdo not require access to [[disk storage]].<ref>{{cite journal|first=Hao|last=Zhang|author2=Gang Chen|author3=Beng Chin Ooi|author4=Kian-Lee Tan|author5=Meihui Zhang|title=In-Memory Big Data Management and Processing: A Survey|journal=IEEE Transactions on Knowledge and Data Engineering|date=July 2015|volume=27|issue=7|pages=1920–1948|doi=10.1109/TKDE.2015.2427795|doi-access=free}}</ref> This may allow faster data operations such as "joins", and reporting and decision-making in business.<ref>{{cite book|last1=Plattner|first1=Hasso|last2=Zeier|first2=Alexander|title=In-Memory Data Management: Technology and Applications|date=2012|publisher=Springer Science & Business Media|isbn=9783642295744|url=https://books.google.com/books?id=HySCgzCApsEC&q=%22in-memory%22|language=en}}</ref>

Extremely large datasets may be divided between co-operating systems as in-memory [[data grid]]s.