Heterogeneous System Architecture: Difference between revisions

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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 |archive-date=28 March 2014 |url-status=dead }}</ref>{{rp|3}}<ref name="whatis">{{cite web |title=What is Heterogeneous System Architecture (HSA)? |url=http://developer.amd.com/resources/heterogeneous-computing/what-is-heterogeneous-system-architecture-hsa/ |publisher=AMD |access-date=23 May 2014 |archive-url=https://web.archive.org/web/20140621213832/http://developer.amd.com/resources/heterogeneous-computing/what-is-heterogeneous-system-architecture-hsa/ |archive-date=21 June 2014 |url-status=dead }}</ref> relieving the programmer of the task of planning the moving of data between devices' disjoint memories (as must currently be done with [[OpenCL]] or [[CUDA]]).<ref>{{cite web |author=Joel Hruska |title=Setting HSAIL: AMD explains the future of CPU/GPU cooperation |url=http://www.extremetech.com/gaming/164817-setting-hsail-amd-cpu-gpu-cooperation |website=[[ExtremeTech]] |publisher=[[Ziff Davis]] |date=2013-08-26}}</ref>

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|date=21 March 2014}}</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/

| archive-url = https://web.archive.org/web/20140201183411/http://gpuscience.com/cs/heterogeneous-system-architecture-purpose-and-outlook/

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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>

[[AMD APP SDK]] is AMD's proprietary software development kit targeting parallel computing, available for Microsoft Windows and Linux. Bolt is a C++ template library optimized for heterogeneous computing.<ref>{{cite web |url=https://github.com/HSA-Libraries/Bolt |title=Bolt on github|website=[[GitHub]]|date=11 January 2022}}</ref>

[[GPUOpen]] comprehends a couple of other software tools related to HSA. [[CodeXL]] version 2.0 includes an HSA profiler.<ref>{{cite web |url=http://gpuopen.com/codexl-2-0-is-here-and-open-source/ |title=CodeXL 2.0 includes HSA profiler |author=AMD GPUOpen |date=2016-04-19}}</ref>