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Memory hierarchy of an AMD Bulldozer server. The number of levels in the memory hierarchy and the performance at each level has increased over time. The type of memory or storage components also change historically. [6] For example, the memory hierarchy of an Intel Haswell Mobile [7] processor circa 2013 is:
A von Neumann architecture scheme. The von Neumann architecture—also known as the von Neumann model or Princeton architecture—is a computer architecture based on the First Draft of a Report on the EDVAC, [1] written by John von Neumann in 1945, describing designs discussed with John Mauchly and J. Presper Eckert at the University of Pennsylvania's Moore School of Electrical Engineering.
Cache hierarchy, or multi-level cache, is a memory architecture that uses a hierarchy of memory stores based on varying access speeds to cache data. Highly requested data is cached in high-speed access memory stores, allowing swifter access by central processing unit (CPU) cores.
The memory traffic denotes the number of bytes of memory transfers incurred during the execution of the kernel or application. [1] In contrast to W {\displaystyle W} , Q {\displaystyle Q} is heavily dependent on the properties of the chosen platform, such as for instance the structure of the cache hierarchy.
The memory cell is the fundamental building block of computer memory. The memory cell is an electronic circuit that stores one bit of binary information and it must be set to store a logic 1 (high voltage level) and reset to store a logic 0 (low voltage level). Its value is maintained/stored until it is changed by the set/reset process.
Diagram showing the memory hierarchy of a modern computer architecture: Date: 9 February 2010, 19:40 (UTC) Source: ComputerMemoryHierarchy.png; Author:
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Memory architecture also explains how binary digits are converted into electric signals and then stored in the memory cells. And also the structure of a memory cell. For example, dynamic memory is commonly used for primary data storage due to its fast access speed.