Uniform memory access: Difference between revisions

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{{Short description|SharedParallel computing memory architecture}}

'''Uniform memory access''' ('''UMA''') is a [[shared -memory architecture|shared memory]] architecture used in [[parallel computer]]s. All the processors in the UMA model share the physical memory uniformly. In an UMA architecture, access time to a memory ___location is independent of which processor makes the request or which memory chip contains the transferred data. Uniform memory access computer architectures are often contrasted with [[non-uniform memory access]] (NUMA) architectures. In the NUMA architecture, each processor may use a private cache. Peripherals are also shared in some fashion. The UMA model is suitable for general purpose and [[time sharing]] applications by multiple users. It can be used to speed up the execution of a single large program in [[real-time computing|time-critical]] applications.<ref>{{cite book |title=Advanced Computer Architecture, |author=Kai Hwang, {{ISBN|isbn=0-07-113342-9}}</ref>

==Types of architectures==

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==hUMA==

In April 2013, the term hUMA (''heterogeneous uniform memory access'') began to appear in [[AMD]] promotional material to refer to [[CPU]] and [[GPU]] sharing the same system memory via [[Cache coherence|cache coherent]] views. Advantages include an easier programming model and less copying of data between separate memory pools.<ref>{{cite web |author=Peter Bright. [|url=https://arstechnica.com/information-technology/2013/04/amds-heterogeneous-uniform-memory-access-coming-this-year-in-kaveri/ |title=AMD's "heterogeneous Uniform Memory Access" coming this year in Kaveri], |website=[[Ars Technica,]] |date=April 30, 2013.}}</ref>

==See also==

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==References==

{{reflist}}

{{Parallel computing}}

[[Category:Computer memory]]

[[Category:Parallel computing]]