Uniform memory access: Difference between revisions

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{{Short description|Parallel computing memory architecture}}

'''Uniform Memorymemory Accessaccess''' ('''UMA''') is a [[shared -memory]] architecture]] used in [[parallel computer]]s. All the processors in the UMA model share the physical memory uniformly. In aan 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 Memorymemory Accessaccess computer architectures are often contrasted with [[Nonnon-Uniformuniform Memorymemory Accessaccess]] (NUMA) architectures. In the UMANUMA 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 UMA architectures==

There are three types of UMA architectures:

#* UMA using bus-based [[Symmetricsymmetric Multi-Processingmultiprocessing]] (SMP) architectures;

#* UMA using [[crossbar switchesswitch]]es;

#* UMA using [[Multistagemultistage interconnection networks]].

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==hUMA==

In April 2013, the term "hUMA" (for''heterogeneous heterogenousuniform Uniformmemory Memory Accessaccess'') 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. [http|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>

In April 2013, the term "hUMA" (for heterogenous 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>Peter Bright. [http://arstechnica.com/information-technology/2013/04/amds-heterogeneous-uniform-memory-access-coming-this-year-in-kaveri/ AMD's "heterogeneous Uniform Memory Access" coming this year in Kaveri], Ars Technica, April 30, 2013.</ref>

==See also==

* [[Non-Uniform_Memory_Access|NUMAuniform memory access]]

* [[Cache-only_memory_architecture|COMAonly memory architecture]]

* [[Heterogeneous System Architecture]]

== Notes References==

{{reflist}}

<references/>

{{Parallel computing}}

[[Category:Computer memory]]

[[Category:Parallel computing]]

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