存内计算

在计算机科学中，存内计算是一项用于处理存储在内存数据库中数据的技术。存内计算的目的是解决由中央处理器和电脑记忆体之间的数据传输引起的性能瓶颈。^[1]较旧的电脑通过关系数据库以及碟盘存储数据，人们还得使用SQL来查询数据，但上述手段越来越难以满足商业智能(BI) 的需求。如果数据存储在随机存取存储器(RAM) 或闪存中时它们可以更快地被访问，因此如果数据存储在内存中，数据就可以被实时分析，从而能更快地就业务发展作出决策。 ^[2]^[3]

参考文献

^ Chi, Ping; Li, Shuangchen; Xu, Cong; Zhang, Tao; Zhao, Jishen; Liu, Yongpan; Wang, Yu; Xie, Yuan. PRIME: A Novel Processing-in-Memory Architecture for Neural Network Computation in ReRAM-Based Main Memory. 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA) (Seoul, South Korea: IEEE). June 2016: 27–39 [2022-03-22]. ISBN 978-1-4673-8947-1. doi:10.1109/ISCA.2016.13. （原始内容存档于2022-02-23）.
^ Plattner, Hasso; Zeier, Alexander. In-Memory Data Management: Technology and Applications. Springer Science & Business Media. 2012 [2022-03-22]. ISBN 9783642295744. （原始内容存档于2022-04-07）（英语）.
^ Zhang, Hao; Gang Chen; Beng Chin Ooi; Kian-Lee Tan; Meihui Zhang. In-Memory Big Data Management and Processing: A Survey. IEEE Transactions on Knowledge and Data Engineering. July 2015, 27 (7): 1920–1948. doi:10.1109/TKDE.2015.2427795.

[1] Chi, Ping; Li, Shuangchen; Xu, Cong; Zhang, Tao; Zhao, Jishen; Liu, Yongpan; Wang, Yu; Xie, Yuan. PRIME: A Novel Processing-in-Memory Architecture for Neural Network Computation in ReRAM-Based Main Memory. 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA) (Seoul, South Korea: IEEE). June 2016: 27–39 [2022-03-22]. ISBN 978-1-4673-8947-1. doi:10.1109/ISCA.2016.13. （原始内容存档于2022-02-23）.

[2] Plattner, Hasso; Zeier, Alexander. In-Memory Data Management: Technology and Applications. Springer Science & Business Media. 2012 [2022-03-22]. ISBN 9783642295744. （原始内容存档于2022-04-07）（英语）.

[3] Zhang, Hao; Gang Chen; Beng Chin Ooi; Kian-Lee Tan; Meihui Zhang. In-Memory Big Data Management and Processing: A Survey. IEEE Transactions on Knowledge and Data Engineering. July 2015, 27 (7): 1920–1948. doi:10.1109/TKDE.2015.2427795.

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