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SubjectRe: [PATCH 00/15] HMM (Heterogeneous Memory Management) v24
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Hi Jérôme

On 2017/6/29 2:00, Jérôme Glisse wrote:
>
> Patchset is on top of git://git.cmpxchg.org/linux-mmotm.git so i
> test same kernel as kbuild system, git branch:
>
> https://cgit.freedesktop.org/~glisse/linux/log/?h=hmm-v24
>
> Change since v23 is code comment fixes, simplify kernel configuration and
> improve allocation of new page on migration do device memory (last patch
> in this patchset).
>
> Everything else is the same. Below is the long description of what HMM
> is about and why. At the end of this email i describe briefly each patch
> and suggest reviewers for each of them.
>
>
> Heterogeneous Memory Management (HMM) (description and justification)
>
> Today device driver expose dedicated memory allocation API through their
> device file, often relying on a combination of IOCTL and mmap calls. The
> device can only access and use memory allocated through this API. This
> effectively split the program address space into object allocated for the
> device and useable by the device and other regular memory (malloc, mmap
> of a file, share memory, â) only accessible by CPU (or in a very limited
> way by a device by pinning memory).
>
> Allowing different isolated component of a program to use a device thus
> require duplication of the input data structure using device memory
> allocator. This is reasonable for simple data structure (array, grid,
> image, â) but this get extremely complex with advance data structure
> (list, tree, graph, â) that rely on a web of memory pointers. This is
> becoming a serious limitation on the kind of work load that can be
> offloaded to device like GPU.
>
> New industry standard like C++, OpenCL or CUDA are pushing to remove this
> barrier. This require a shared address space between GPU device and CPU so
> that GPU can access any memory of a process (while still obeying memory
> protection like read only). This kind of feature is also appearing in
> various other operating systems.
>
> HMM is a set of helpers to facilitate several aspects of address space
> sharing and device memory management. Unlike existing sharing mechanism
> that rely on pining pages use by a device, HMM relies on mmu_notifier to
> propagate CPU page table update to device page table.
>
> Duplicating CPU page table is only one aspect necessary for efficiently
> using device like GPU. GPU local memory have bandwidth in the TeraBytes/
> second range but they are connected to main memory through a system bus
> like PCIE that is limited to 32GigaBytes/second (PCIE 4.0 16x). Thus it
> is necessary to allow migration of process memory from main system memory
> to device memory. Issue is that on platform that only have PCIE the device
> memory is not accessible by the CPU with the same properties as main
> memory (cache coherency, atomic operations, ...).
>
> To allow migration from main memory to device memory HMM provides a set
> of helper to hotplug device memory as a new type of ZONE_DEVICE memory
> which is un-addressable by CPU but still has struct page representing it.
> This allow most of the core kernel logic that deals with a process memory
> to stay oblivious of the peculiarity of device memory.
>
> When page backing an address of a process is migrated to device memory
> the CPU page table entry is set to a new specific swap entry. CPU access
> to such address triggers a migration back to system memory, just like if
> the page was swap on disk.
> [...]
> To allow efficient migration between device memory and main memory a new
> migrate_vma() helpers is added with this patchset. It allows to leverage
> device DMA engine to perform the copy operation.
>

Is this means that when CPU access an address of a process is migrated to device
memory, it should call migrate_vma() to migrate a range of address back to CPU ?
If it is so, I think it should somewhere call this function in this patchset,
however, I do not find anywhere in this patchset call this function.

Or am I miss anything?

Thanks
Yisheng Xie

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