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'''Heterogeneous System Architecture''' ('''HSA''') is a cross-vendor set of specifications that allow for the integration of [[central processing unit]]s and [[GPU|graphics processors]] on the same bus, with shared [[Main memory|memory]] and [[Task (computing)|tasks]].<ref>{{cite web |url=http://www.tomshardware.com/news/AMD-HSA-hUMA-APU,22324.html |title=AMD Unveils its Heterogeneous Uniform Memory Access (hUMA) Technology |website=Tom's Hardware |author=Tarun Iyer |date=30 April 2013}}</ref> The HSA is being developed by the [[HSA Foundation]], which includes (among many others) [[Advanced Micro Devices|AMD]] and [[ARM Holdings|ARM]]. The platform's stated aim is to reduce [[communication latency]] between CPUs, GPUs and other [[compute device]]s, and make these various devices more compatible from a programmer's perspective,<ref name="whitepaper">{{Cite report |author=George Kyriazis |date=30 August 2012 |title=Heterogeneous System Architecture: A Technical Review |url=http://amd-dev.wpengine.netdna-cdn.com/wordpress/media/2012/10/hsa10.pdf |publisher=AMD |access-date=26 May 2014 |archive-url=https://web.archive.org/web/20140328140823/http://amd-dev.wpengine.netdna-cdn.com/wordpress/media/2012/10/hsa10.pdf |
CUDA and OpenCL as well as most other fairly advanced programming languages can use HSA to increase their execution performance.<ref>{{cite web|url=http://www.slideshare.net/mobile/linaroorg/hsa-linaro-updatejuly102013|title=LCE13: Heterogeneous System Architecture (HSA) on ARM|author=Linaro|work=slideshare.net}}</ref> [[Heterogeneous computing]] is widely used in [[MPSoC|system-on-chip]] devices such as [[Tablet computer|tablets]], [[smartphone]]s, other mobile devices, and [[video game console]]s.<ref name="gpuscience">{{cite web
| url = http://gpuscience.com/cs/heterogeneous-system-architecture-purpose-and-outlook/
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| title = Heterogeneous System Architecture: Purpose and Outlook
| date = 2012-11-09 | accessdate = 2014-05-24
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| website = gpuscience.com
}}</ref> HSA allows programs to use the graphics processor for [[floating point]] calculations without separate memory or scheduling.<ref>{{cite web |title=Heterogeneous system architecture: Multicore image processing using a mix of CPU and GPU elements |website=Embedded Computing Design |url=http://embedded-computing.com/articles/heterogeneous-processing-using-mix-cpu-gpu-elements/ |accessdate=23 May 2014}}</ref>
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}}</ref> This very first implementation, known as {{Mono|amdkfd}}, focuses on [[AMD Accelerated Processing Unit#Steamroller architecture .282014.29: Kaveri|"Kaveri"]] or "Berlin" APUs and works alongside the existing Radeon kernel graphics driver.
Additionally, {{Mono|amdkfd}} supports ''heterogeneous queuing'' (HQ), which aims to simplify the distribution of computational jobs among multiple CPUs and GPUs from the programmer's perspective. Support for ''heterogeneous memory management'' (''HMM''), suited only for graphics hardware featuring version 2 of the AMD's [[IOMMU]], was accepted into the Linux kernel mainline version 4.14.<ref>{{cite web|url=https://www.xda-developers.com/linux-kernel-414/|title=Linux Kernel 4.14 Announced with Secure Memory Encryption and More|date=13 November 2017
Integrated support for HSA platforms has been announced for the "Sumatra" release of [[OpenJDK]], due in 2015.<ref>{{cite web |url=http://www.hpcwire.com/2013/08/26/hsa_foundation_aims_to_boost_javas_gpu_prowess/ |title=HSA Foundation Aims to Boost Java’s GPU Prowess |author=Alex Woodie |date=26 August 2013 |website=HPCwire}}</ref>
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