AMD: Heterogeneous Memory Management and ROCm Linux Compute Stack
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Heterogeneous Memory Management Is Maturing, AMDGPU Support Coming
For the past four years now we have been monitoring the development of Heterogeneous Memory Management (HMM) for allowing the mirroring of process address spaces and other functionality particularly designed around modern GPU compute needs but also applicable to other devices/drivers. The HMM kernel code was merged to mainline last year while haven't seen much activity by the DRM drivers but that now seems to be changing.
Red Hat's Jerome Glisse who has been the mastermind behind of Heterogeneous Memory Management presented at this week's X.Org Developers' Conference (XDC2018) about this work. For those interested, the slides are now available here (PDF) that go over HMM.
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A Nice Overview Of The ROCm Linux Compute Stack
It's easy to get confused by the Radeon GPU compute stack / OpenCL driver support as there has been multiple offerings over the years from the no longer supported Clover Gallium3D OpenCL driver to a still-maintained PAL-based OpenCL driver to their modern ROCm compute stack. When it comes to ROCm though, besides OpenCL there is also their HCC and HIP approaches and from there support for a variety of frameworks, libraries, etc. Here are some overviews of the current ROCm compute stack those interested.
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