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Algorithmic efficiency and CPU cache

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Algorithmic efficiency and CPU cache

Algorithmic efficiency vs. CPU cache

In computer science, algorithmic efficiency is a property of an algorithm which relates to the amount of computational resources used by the algorithm. A CPU cache is a hardware cache used by the central processing unit (CPU) of a computer to reduce the average cost (time or energy) to access data from the main memory.

Similarities between Algorithmic efficiency and CPU cache

Algorithmic efficiency and CPU cache have 27 things in common (in Unionpedia): ARM architecture family, Cache (computing), Cache coherence, Cache hierarchy, Cache replacement policies, Central processing unit, Computer, Computer data storage, Dynamic random-access memory, Hash function, IBM, Instruction set architecture, Latency (engineering), Locality of reference, Low-power electronics, Memory hierarchy, Multi-core processor, Multiprocessing, Processor register, Random-access memory, Register file, Server (computing), Simultaneous multithreading, Static random-access memory, Supercomputer, System on a chip, Virtual memory.

ARM architecture family

ARM (stylised in lowercase as arm, formerly an acronym for Advanced RISC Machines and originally Acorn RISC Machine) is a family of RISC instruction set architectures (ISAs) for computer processors.

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Cache (computing)

In computing, a cache is a hardware or software component that stores data so that future requests for that data can be served faster; the data stored in a cache might be the result of an earlier computation or a copy of data stored elsewhere.

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Cache coherence

In computer architecture, cache coherence is the uniformity of shared resource data that ends up stored in multiple local caches.

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Cache hierarchy

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.

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Cache replacement policies

In computing, cache replacement policies (also known as cache replacement algorithms or cache algorithms) are optimizing instructions or algorithms which a computer program or hardware-maintained structure can utilize to manage a cache of information.

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Central processing unit

A central processing unit (CPU), also called a central processor, main processor, or just processor, is the most important processor in a given computer.

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Computer

A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation).

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Computer data storage

Computer data storage or digital data storage is a technology consisting of computer components and recording media that are used to retain digital data.

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Dynamic random-access memory

Dynamic random-access memory (dynamic RAM or DRAM) is a type of random-access semiconductor memory that stores each bit of data in a memory cell, usually consisting of a tiny capacitor and a transistor, both typically based on metal–oxide–semiconductor (MOS) technology.

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Hash function

A hash function is any function that can be used to map data of arbitrary size to fixed-size values, though there are some hash functions that support variable length output.

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IBM

International Business Machines Corporation (using the trademark IBM), nicknamed Big Blue, is an American multinational technology company headquartered in Armonk, New York and present in over 175 countries.

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Instruction set architecture

In computer science, an instruction set architecture (ISA) is an abstract model that generally defines how software controls the CPU in a computer or a family of computers.

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Latency (engineering)

Latency, from a general point of view, is a time delay between the cause and the effect of some physical change in the system being observed.

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Locality of reference

In computer science, locality of reference, also known as the principle of locality, is the tendency of a processor to access the same set of memory locations repetitively over a short period of time.

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Low-power electronics

Low-power electronics are electronics, such as notebook processors, that have been designed to use less electrical power than usual, often at some expense.

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Memory hierarchy

In computer organisation, the memory hierarchy separates computer storage into a hierarchy based on response time.

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Multi-core processor

A multi-core processor is a microprocessor on a single integrated circuit with two or more separate processing units, called cores (for example, dual-core or quad-core), each of which reads and executes program instructions.

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Multiprocessing

Multiprocessing is the use of two or more central processing units (CPUs) within a single computer system.

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Processor register

A processor register is a quickly accessible location available to a computer's processor.

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Random-access memory

Random-access memory (RAM) is a form of electronic computer memory that can be read and changed in any order, typically used to store working data and machine code.

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Register file

A register file is an array of processor registers in a central processing unit (CPU).

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Server (computing)

A server is a computer that provides information to other computers called "clients" on computer network.

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Simultaneous multithreading

Simultaneous multithreading (SMT) is a technique for improving the overall efficiency of superscalar CPUs with hardware multithreading.

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Static random-access memory

Static random-access memory (static RAM or SRAM) is a type of random-access memory (RAM) that uses latching circuitry (flip-flop) to store each bit.

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Supercomputer

A supercomputer is a type of computer with a high level of performance as compared to a general-purpose computer.

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System on a chip

A system on a chip or system-on-chip (SoC; pl. SoCs) is an integrated circuit that integrates most or all components of a computer or other electronic system.

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Virtual memory

In computing, virtual memory, or virtual storage, is a memory management technique that provides an "idealized abstraction of the storage resources that are actually available on a given machine" which "creates the illusion to users of a very large (main) memory".

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The list above answers the following questions

Algorithmic efficiency and CPU cache Comparison

Algorithmic efficiency has 150 relations, while CPU cache has 145. As they have in common 27, the Jaccard index is 9.15% = 27 / (150 + 145).

References

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