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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/|archive-url=https://web.archive.org/web/20171113231202/https://www.xda-developers.com/linux-kernel-414/|url-status=dead|archive-date=13 November 2017|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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===ARM===
ARM's [[Bifrost (microarchitecture)|Bifrost]] microarchitecture, as implemented in the Mali-G71,<ref>{{cite web |url=http://www.anandtech.com/show/10375/arm-unveils-bifrost-and-mali-g71/5 |archive-url=https://archive.today/20160910101608/http://www.anandtech.com/show/10375/arm-unveils-bifrost-and-mali-g71/5 |url-status=dead |archive-date=10 September 2016 |title=ARM Bifrost GPU Architecture |date=2016-05-30}}</ref> is fully compliant with the HSA 1.1 hardware specifications. {{As of|2016|6}}, ARM has not announced software support that would use this hardware feature.
==See also==
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* [[Shared memory]]
* [[Zero-copy]]
* A technique enabling zero-copy operation for a CPU and a parallel accelerator <ref> Computer memory architecture for hybrid serial and parallel computing systems, US patents 7,707,388, 2010 and 8,145,879, 2012. Inventor: [[Uzi Vishkin]] </ref>
==References==
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