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== Adoption of in-memory technology ==
With a large number of users, a large amount of [[Random-access memoryRAM|RAM]] is needed for an in-memory configuration, which in turn affects the hardware costs. The investment is more likely to be suitable in situations where speed of query response is a high priority, and where there is significant growth in data volume and increase in demand for reporting facilities; it may still not be cost-effective where information is not subject to rapid change. [[Computer security|Security]] is another consideration, as in-memory tools expose huge amounts of data to end users. Makers advise ensuring that only authorized users are given access to the data.
== Application of in-memory technology in everyday life ==
In-memory processing techniques are frequently used by modern smartphones and tablets to improve application performance. This can result in speedier app loading times and more enjoyable user experiences. In-memory processing may be used by gaming consoles such as the [[PlayStation]] and [[Xbox]] to improve game speed<ref>{{Cite web |last=Park |first=Kate |date=2023-07-27 |title=Samsung extends cut in memory chip production, will focus on high-end AI chips instead |url=https://techcrunch.com/2023/07/27/samsung-extends-cut-in-memory-chip-production-will-focus-on-high-end-ai-chips-instead/ |access-date=2023-12-05 |website=TechCrunch |language=en-US}}</ref>. Rapid data access is critical for providing a smooth game experience. Certain wearable devices, like smartwatches and fitness trackers, may incorporate in-memory processing to swiftly process sensor data and provide real-time feedback to users. Several commonplace gadgets use in-memory processing to improve performance and responsiveness<ref>{{Cite journal |last=Tan |first=Kian-Lee |last2=Cai |first2=Qingchao |last3=Ooi |first3=Beng Chin |last4=Wong |first4=Weng-Fai |last5=Yao |first5=Chang |last6=Zhang |first6=Hao |date=2015-08-12 |title=In-memory Databases: Challenges and Opportunities From Software and Hardware Perspectives |url=https://doi.org/10.1145/2814710.2814717 |journal=ACM SIGMOD Record |volume=44 |issue=2 |pages=35–40 |doi=10.1145/2814710.2814717 |issn=0163-5808}}</ref>.In-memory processing is used by smart TVs to enhance interface navigation and content delivery. It is used in digital cameras for real-time image processing, filtering, and effects<ref>{{Cite web |title=Approximate In-Memory Computing using Memristive IMPLY Logic and its Application to Image Processing {{!}} IEEE Conference Publication {{!}} IEEE Xplore |url=https://ieeexplore.ieee.org/document/9937475 |access-date=2023-12-05 |website=ieeexplore.ieee.org}}</ref>. Voice-activated assistants and other home automation systems may benefit from faster understanding and response to user orders. In-memory processing is also used by embedded systems in appliances and high-end digital cameras for efficient data handling. Through in-memory processing techniques, certain IoT devices prioritize fast data processing and response times<ref>{{Cite web |title=What is processing in memory (PIM) and how does it work? |url=https://www.techtarget.com/searchbusinessanalytics/definition/processing-in-memory-PIM |access-date=2023-12-05 |website=Business Analytics |language=en}}</ref>.
== See also ==
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