| Commit message (Collapse) | Author | Age |
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MISRA 21.2 states that we may not use reserved identifiers; since
all identifiers beginning with '_' are reserved by libc, the usage
of '__' as a prefix is disallowed.
Fixes for all the pd_cache functions that use '__' prefixes. This
was trivial: the '__' prefix was simply deleted.
JIRA NVGPU-1029
Change-Id: Ia91dabe3ef97fb17a2a85105935fb3a72d7c2c5e
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1813643
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Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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MISRA 21.2 states that we may not use reserved identifiers; since
all identifiers beginning with '_' are reserved by libc, the usage
of '__' as a prefix is disallowed.
Handle the 21.2 fixes for nvgpu_mem.c and mm.c; this deletes the
'__' prefixes and slightly renames the __nvgpu_aperture_mask()
function since there's a coherent version and a general version.
Change-Id: Iee871ad90db3f2622f9099bd9992eb994e0fbf34
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1813623
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__nvgpu_gmmu_map() does not currently have a mechanism for returning an
error code if something goes wrong; it just returns zero on error, or a
nonzero address when mapping was successful. Change it to return 0
instead of -ENOMEM if the creation of nvgpu_sgt from mem fails. Out of
memory is the only meaningful failure case anyway, and this -ENOMEM
would just look like a (huge) memory address.
Change-Id: If176e165b1f9a8fa84a1bdf3080c9059a193081f
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1812491
Reviewed-by: svc-misra-checker <svc-misra-checker@nvidia.com>
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Reviewed-by: Alex Waterman <alexw@nvidia.com>
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MISRA Rule 10.4 only allows the usage of arithmetic operations on
operands of the same essential type category.
Adding "U" at the end of the integer literals to have same type of
operands when an arithmetic operation is performed.
This fix violations where an arithmetic operation is performed on
signed and unsigned int types.
In balloc_get_order_list() the argument "int order" has been changed to
a u64 because all callers of this function pass a u64 argument.
JIRA NVGPU-992
Change-Id: Ie2964f9f1dfb2865a9bd6e6cdd65e7cda6c1f638
Signed-off-by: Sai Nikhil <snikhil@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1784419
Reviewed-by: svc-misra-checker <svc-misra-checker@nvidia.com>
Reviewed-by: Adeel Raza <araza@nvidia.com>
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Changed the enum gmmu_pgsz_gk20a into macros and changed all the
instances of it.
The enum gmmu_pgsz_gk20a was being used in for loops, where it was
compared with an integer. This violates MISRA rule 10.4, which only
allows arithmetic operations on operands of the same essential type
category. Changing this enum into macro will fix this violation.
JIRA NVGPU-993
Change-Id: I6f18b08bc7548093d99e8229378415bcdec749e3
Signed-off-by: Amulya <Amurthyreddy@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1795593
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Fix violations where the conversion is from a non-enum type to enum
type or vice-versa.
JIRA NVGPU-659
Change-Id: I45f43c907b810cc86b2a4480809d0c6757ed3486
Signed-off-by: Amulya <Amurthyreddy@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1802322
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Tested-by: Amulya Murthyreddy <amurthyreddy@nvidia.com>
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MISRA Rule-15.6 requires that all if-else blocks be enclosed in braces,
including single statement blocks. Fix errors due to single statement
if blocks without braces, introducing the braces.
JIRA NVGPU-671
Change-Id: Ieeecf719dca9acc1a116d2893637bf770caf4f5b
Signed-off-by: Srirangan <smadhavan@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1794241
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This flag - has_physical_mode - doesn't seem to do much other than
force the PTE/PDE and inst block addresses to be physical instead
of potentially IOMMUed.
There is a reason to do this on volta (nvlink not being IOMMU'able
being the primary reason) but this flag is too general it seems.
The flag was being enabled on all native platforms. The problem is
that some page tables (the maxwell small page directories) could
be larger than 4KB which meant that the allocation used for them
could be potentially discontiguous. Discontiguous page directories
obviously is incorrect.
This patch deletes the has_physical_mode flag and instead replaces
the places where it's checked with a check for nvlink being
enabled. Since we _do_ want to program phyiscal PDEs and PTEs for
NVLINK devices (regardless of IOMMU status they always access
memory by physical address) we need a check for NVLINK state.
Bug 200414723
Change-Id: I09ad86b12d8aabcf9648a22503f4747fd63514dd
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1792163
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This fixes errors due to single statement loop bodies
without braces, which is part of Rule 15.6 of MISRA.
This patch covers in gpu/nvgpu/common/
JIRA NVGPU-989
Change-Id: Ic6a98a1cd04e4524dabf650e2f6e73c6b5a1db9d
Signed-off-by: Srirangan <smadhavan@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1786207
Reviewed-by: svc-misra-checker <svc-misra-checker@nvidia.com>
Reviewed-by: Adeel Raza <araza@nvidia.com>
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The GPU page tables are always mapped to the CPU now, so they don't need
the nvgpu_mem_{begin,end}() calls.
Change-Id: Ic48eeed3a6f002c78f89ef07922cddf835337de3
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1761579
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
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These macros are sometimes defined by the std library headers.
So when they are defined #undef them and use our own version.
Also explicitly include types.h from gmmu.c since it uses the min
and max macros.
JIRA NVGPU-525
Change-Id: I905ff23ef7a4a96467be59c4a124cb09b63f1f96
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1721015
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Allow a potential IOMMU'ed GMMU mapping for all SYSMEM buffers
inlcuding coherent sysmem. Typically this won't actually happen
since IO coherent mappings will also often be accessed over
NVLINK which is physically addressed.
Also update the comments surrounding this code to take into
account the new NVLINK nuances. Since NVLINK buffers are
directly mapped even when the IOMMU is enabled this is very
deserving of a comment explaining what's going on.
Lastly add some simple functions for checking if an nvgpu_mem
(or a particular aperture field) is a sysmem aperture. Currently
this includes SYSMEM and SYSMEM_COH.
JIRA EVLR-2333
Change-Id: I992d3c25d433778eaad9eef338aa5aa42afe597e
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1665185
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When nvgpu maps an nvgpu_mem struct the nvgpu driver has a choice of
either using a fixed or non-fixed mapping. For non-fixed mappings the
GMMU APIs allocate a VA space for the caller. In that case the GMMU
APIs must also free that VA range when nvgpu unmaps the nvgpu_mem.
For fixed mappings the GMMU APIs must instead not manage the life
time of the VA space. To support these two possibilities add a field
to nvgpu_mem that specifies whether the GMMU APIs must or must not
free the GPU VA range during the GMMU unmap operation.
Also fix a case in the nvgpu vm_area code that would double free a
VA allocation in some cases (sparse allocs).
Change-Id: Idc32dbb8208fa7c1c05823e67b54707fea51c6b7
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1669920
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Add __nvgpu_sgl_phys function that can be used to implement IPA
to PA translation in a subsequent change.
Adapt existing function prototypes to add pointer to gpu context,
as we will need to check if IPA to PA translation is needed.
JIRA EVLR-2442
Bug 200392719
Change-Id: I5a734c958c8277d1bf673c020dafb31263f142d6
Signed-off-by: Thomas Fleury <tfleury@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1673142
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This reverts commit 848af2ce6de6140323a6ffe3075bf8021e119434.
This is a revert of a revert, etc, etc. It re-enables IO coherence again.
JIRA EVLR-2333
Change-Id: Ibf97dce2f892e48a1200a06cd38a1c5d9603be04
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1669722
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This reverts commit 89fbf39a05483917c0a9f3453fd94c724bc37375.
Bug 2075315
Change-Id: Id34a0376be5160b164931926ec600f77edf69667
Signed-off-by: Timo Alho <talho@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1668487
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
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This reverts commit 5a35a95654d561fce09a3b9abf6b82bb7a29d74b.
JIRA EVLR-2333
Change-Id: I923c32496c343d39d34f6d406c38a9f6ce7dc6e0
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1667167
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The operations in struct nvgpu_sgt_ops have a scatter-gather list (sgl)
argument which is a void pointer. Change the type signatures to take
struct nvgpu_sgl * which is an opaque marker type that makes it more
difficult to pass around wrong arguments, as anything goes for void *.
Explicit types add also self-documentation to the code.
For some added safety, some explicit type casts are now required in
implementors of the nvgpu_sgt_ops interface when converting between the
general nvgpu_sgl type and implementation-specific types. This is not
purely a bad thing because the casts explain clearly where type
conversions are happening.
Jira NVGPU-30
Jira NVGPU-52
Jira NVGPU-305
Change-Id: Ic64eed6d2d39ca5786e62b172ddb7133af16817a
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1643555
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Also revert other changes related to IO coherence. This may be the
culprit in a recent dev-kernel lockdown.
Bug 2070609
Change-Id: Ida178aef161fadbc6db9512521ea51c702c1564b
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1665914
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Reviewed-by: Srikar Srimath Tirumala <srikars@nvidia.com>
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When using a coherent DMA API wee must make sure to program
any aperture fields with the coherent aperture setting. To
do this the nvgpu_aperture_mask() function was modified to
take a third aperture mask argument, a coherent setting, so
that code can use this function to generate coherent aperture
settings.
The aperture choice is some what tricky: the default version
of this function uses the state of the DMA API to determine
what aperture to use for SYSMEM: either coherent or
non-coherent internally. Thus a kernel user need only specify
the normal nvgpu_mem struct and the correct mask should be
chosen. Due to many uses of nvgpu_mem structs not created
directly from the DMA API wrapper it's easier to translate
SYSMEM to SYSMEM_COH after creation.
However, the GMMU mapping code, will encounter buffers from
userspace with difference coerency attributes than the DMA
API. Thus the __nvgpu_aperture_mask() really respects the
aperture setting passed in regardless of the DMA API state.
This aperture setting is pulled from NVGPU_VM_MAP_IO_COHERENT
since this is either passed in from userspace or set by the
kernel when using coherent DMA. The aperture field in attrs
is upgraded to coh if this flag is set.
This change also adds a coherent sysmem mask everywhere that
it can. There's a couple places that do not have a coherent
register field defined yet. These need to eventually be
defined and added.
Lastly the aperture mask code has been mvoed from the Linux
vm.c code to the general vm.c code since this function has
no Linux dependencies.
Note: depends on https://git-master.nvidia.com/r/1664536 for
new register fields.
JIRA EVLR-2333
Change-Id: I4b347911ecb7c511738563fe6c34d0e6aa380d71
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1655220
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This patch does a couple of things. First it renames
NVGPU_DMA_COHERENT to NVGPU_USE_COHERENT_SYSMEM since the former
is somewhat ambiguous in meaning. The latter clearly states what
must happen: nvgpu needs to treat sysmem as coherent. This flag
does simply follow the state of the DMA API but there's no reason
to expect a casual reader of the code to know that when the DMA
API is coherent nvgpu must treat sysmem as coherent.
One thing to note though: when the dGPU is using PCIe and the
PCIe controller is coherent, it doesn't actually matter what we
do. However, we use this flag for determining how to make CPU
mappings in nvgpu_mem_begin() so this flag is still relevant for
the CPU side of things.
Next this patch adds a check in the core kernel GMMU mapping
routine to make sure that when the NVGPU_USE_COHERENT_SYSMEM flag
is set that the IO coherent flag is passed into the mapping code.
This is the primary fix that made NVLINK start working.
Finally the setting of the USE_COHERENT_SYSMEM flag and the
NVGPU_SUPPORT_IO_COHERENCE flag were set both for PCIe and for
iGPUs. The iGPU also must correctly match it's CPU mappings and
GPU mappings for proper operation.
JIRA EVLR-2333
Change-Id: Icd5f07167c9f48a0a2e8493e34c9cc6238e56907
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1654519
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Make the map attributes printed by map debug code are more easily
readable and consistent.
Change-Id: I9737131a2ea44c6a080dff0095929760888b83ae
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1654518
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When NVLINK is enabled we need to use phys addresses from the SGT
since NVLINK bypasses the SMMU.
JIRA EVLR-2333
Change-Id: Ibfc0454fa7616056761f8626f2a611749775d091
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1654561
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The GPU has multiple different operating modes in respect to IOMMU'ability.
As such there needs to be a clean way to tell the driver whether it is
IOMMU'able or not. This state also does not always reflect what is possible:
all becasue the GPU can generate IOMMU'ed memory requests doesn't mean it
wants to.
The nvgpu_iommuable() API has now existed for a little while which is a
useful way to convey whether nvgpu should consider the GPU as IOMMU'able.
However, there is also the g->mm.bypass_smmu flag which used to be able to
override what the GPU decided it should do. Typically it was assigned
the same value as nvgpu_iommuable() but that was not necessarily a
requirment.
This patch removes all the usages of g->mm.bypass_smmu and instead uses the
nvgpu_iommuable() function. All places where the check against
g->mm.bypass_smmu have been replaced with nvgpu_iommuable(). The code
should now be much cleaner.
Subsequently other checks can also be placed in the nvgpu_iommuable()
function. For example, when NVLINK comes online and the GPU should no
longer consider DMA addresses and instead use scatter-gather lists
directly the ngpu_iommuable() function will be able to check the state of
NVLINK and then act accordingly.
Change-Id: I0da6262386de15709decac89d63d3eecfec20cd7
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1648332
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Lots of code paths were split to T19x specific code paths and structs
due to split repository. Now that repositories are merged, fold all of
them back to main code paths and structs and remove the T19x specific
Kconfig flag.
Change-Id: Id0d17a5f0610fc0b49f51ab6664e716dc8b222b6
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1640606
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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In __nvgpu_gmmu_do_update_page_table(), and in case of non-IOMMU mappings,
we call nvgpu_sgt_get_phys() to get physical address
But this API ignores mapping attributes including l3_alloc attribute
specified by user space, and this breaks L3 cache allocations
Fix this by using g->ops.mm.gpu_phys_addr() which also considers the
mapping attributes and returns appropriate physical address
Jira GPUT19X-10
Bug 200279508
Change-Id: Ibc0d29f7cb576a9d6893a97b1912d9ff4bc78e02
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1621245
Reviewed-by: Automatic_Commit_Validation_User
Reviewed-by: Seshendra Gadagottu <sgadagottu@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
Tested-by: Alex Waterman <alexw@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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The current code does not properly calculate the indexes within the PDE
to access the proper entry, and it has a bug in assignement of the big
page entries. This change fixes the issue by:
(1) Passing a pointer to the level structure and dereferencing the
index offset to the next level.
(2) Changing the format of the address.
(3) Ensuring big pages are only selected if their address is set.
Bug 200364599
Change-Id: I46e32560ee341d8cfc08c077282dcb5549d2a140
Signed-off-by: David Nieto <dmartineznie@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1610562
Reviewed-by: Automatic_Commit_Validation_User
Reviewed-by: Deepak Bhosale <dbhosale@nvidia.com>
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Increase the ctagline that is programmed in the page tables when the
buffer offset crosses the compression page boundaries. This fixes
compressible-kind fixed-address mapping with 4k pages when the GPU VA
is not aligned by the compression page size.
Bug 1995897
Bug 2011640
Bug 2011668
Change-Id: I1f1f9750635a20a916527c9d18fda7f8aa6b1b1f
Signed-off-by: Sami Kiminki <skiminki@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1608465
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We use SZ_* #defines in some parts of nvgpu, but we don't explicitly
include a header that defines it. Add include/nvgpu/sizes.h that in
Linux #includes linux/sizes.h.
Change-Id: I8f506d85c7eaa12e649f5874a87533e2f0fe9438
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1607575
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Add <nvgpu/bug.h> to MM files that use any of the BUG, BUG_ON,
WARN, WARN_ON, etc, macros but do not yet include <nvgpu/bug.h>.
JIRA NVGPU-401
Change-Id: I538219683d2a52b15abf147ff4bcf6375b6cb8a0
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1599960
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: David Martinez Nieto <dmartineznie@nvidia.com>
Reviewed-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Add a translation layer to convert from the NVGPU_AS_* flags to
to new set of NVGPU_VM_MAP_* and NVGPU_VM_AREA_ALLOC_* flags.
This allows the common MM code to not depend on the UAPI header
defined for Linux.
In addition to this change a couple of other small changes were
made:
1. Deprecate, print a warning, and ignore usage of the
NVGPU_AS_MAP_BUFFER_FLAGS_MAPPABLE_COMPBITS flag.
2. Move the t19x IO coherence flag from the t19x UAPI header
to the regular UAPI header.
JIRA NVGPU-293
Change-Id: I146402b0e8617294374e63e78f8826c57cd3b291
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1599802
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Commit 81868a187fa3b217368206f17b19309846e8e7fb updated barrier
usage to use the nvgpu wrappers and in doing so downgraded many
plain barriers {mb(), wmb(), rmb()} to the SMP versions of these
barriers.
The SMP version of the barriers in question are only issued
when running on an SMP machine. In most of the cases mentioned
above this is fine since the barriers are present to faciliate
proper ordering across CPUs. A single CPU is always coherent
with itself, so on a non-SMP case we don't need those barriers.
However, there are a few places where the barriers in use (GMMU
page table programming, IO accessors, userd) where the barrier
usage is for communicating and establishing ordering for the
GPU. We need these barriers for both SMP machines and non-SMP
machines. Therefor we must use the plain barrier versions.
Change-Id: I376129840b7dc64af8f3f23f88057e4e81360f89
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1599744
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nvgpu_pde_phys_addr() is only used in gmmu.c and as such can be
marked static.
JIRA NVGPU-402
Change-Id: I7adba6f54ebd4e06d176f23b9a959c04a8770338
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1599040
Reviewed-by: Seshendra Gadagottu <sgadagottu@nvidia.com>
Reviewed-by: Automatic_Commit_Validation_User
Reviewed-by: Konsta Holtta <kholtta@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Add explicit #includes for <uapi/linux/nvgpu.h> for source code files
that depend on it.
JIRA NVGPU-259
Change-Id: I717d5f1493423fd3a7a34b6dd3380d33a9307a09
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1596254
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Drastically simplify and move the aligment computation for buffers
getting mapped into the SGT code. An SGT is all that is needed for
computing the alignment.
However, this did require that a new SGT op was added:
nvgpu_sgt_iommuable()
This function returns true if the passed SGT is IOMMU'able and must
be implemented by an SGT implementation that has IOMMU'able buffers.
If this function is left as NULL then it is assumed that the buffer
is not IOMMU'able.
Also cleanup the parameter ordering convention among all nvgpu_sgt
functions. Previously there was a mishmash of different parameter
orderings. This patch now standardizes on the gk20a first approach
seen everywhere else in the driver.
JIRA NVGPU-30
JIRA NVGPU-246
JIRA NVGPU-71
Change-Id: Ic4ab7b752847cf795c7cfafed5a07818217bba86
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1583985
Reviewed-by: Automatic_Commit_Validation_User
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Make NVGPU_AS_MAP_BUFFER_FLAGS_DIRECT_KIND_CTRL mandatory for all map
IOCTLs. We'll clean up the legacy kernel code in subsequent patches.
Remove support for NVGPU_AS_IOCTL_MAP_BUFFER. It has been superseded
by NVGPU_AS_IOCTL_MAP_BUFFER_EX.
Remove legacy definitions to nvgpu_map_buffer_args and the related
flags, and update the in-kernel map calls accordingly by switching to
the newer definitions.
Bug 1902982
Change-Id: Ie9a7f02b8d5d0ec7c3722c4481afab6d39b4fbd0
Signed-off-by: Sami Kiminki <skiminki@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1560932
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Modify the recursive loop in pte_find to make sure it is targeting the proper
pde page size.
JIRA NVGPUGV100-36
Change-Id: Ib3673d8d9f1bd3c907d532f9e2562ecdc5dda4af
Signed-off-by: David Nieto <dmartineznie@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1586739
Reviewed-by: Alex Waterman <alexw@nvidia.com>
Reviewed-by: Automatic_Commit_Validation_User
GVS: Gerrit_Virtual_Submit
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Split VIDMEM support into its own code files organized as such:
common/mm/vidmem.c - Base vidmem support
common/linux/vidmem.c - Linux specific user-space interaction
include/nvgpu/vidmem.h - Vidmem API definitions
Also use the config to enable/disable VIDMEM support in the makefile
and remove as many CONFIG_GK20A_VIDMEM preprocessor checks as possible
from the source code.
And lastly update a while-loop that iterated over an SGT to use the
new for_each construct for iterating over SGTs.
Currently this organization is not perfectly adhered to. More patches
will fix that.
JIRA NVGPU-30
JIRA NVGPU-138
Change-Id: Ic0f4d2cf38b65849c7dc350a69b175421477069c
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1540705
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__nvgpu_gmmu_do_update_page_table() uses nvgpu_sgt_for_each_sgl to loop
through the entries of a buffer to be mapped, so when continue is used,
the sgl entry must not be reassigned again like it was before with a
pure while-and-update loop. Delete a reassignment to fix a case where
sgl = sgl->next could happen twice.
Bug 2002279
Bug 2001466
Change-Id: I47c8b853d4b35304740cd4e8a840df02fcd23054
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1575279
Reviewed-by: Automatic_Commit_Validation_User
Reviewed-by: Alex Waterman <alexw@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
Tested-by: Alex Waterman <alexw@nvidia.com>
Reviewed-by: Timo Alho <talho@nvidia.com>
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Combine the VIDMEM and SYSMEM GMMU mapping paths into one
single function. With the proper nvgpu_sgt abstraction in
place the high level mapping code can treat these two types
of maps identically. The benefits of this are immediate: a
change to the mapping code will have much more testing
coverage - the same code runs on both vidmem and sysmem.
This also makes it easier to make changes to mapping code
since the changes will be testable no matter what type of
mem is being mapped.
JIRA NVGPU-68
Change-Id: I308eda03d426966ba8e1d4892c99cf97b45c5993
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1566706
Reviewed-by: Automatic_Commit_Validation_User
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
Reviewed-by: svccoveritychecker <svccoveritychecker@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
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Add a macro to iterate across nvgpu_sgts. This makes it easier on
developers who may accidentally forget to move to the next SGL.
JIRA NVGPU-243
Change-Id: I90154a5d23f0014cb79bbcd5b6e8d8dbda303820
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1566627
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Remove the last sg_phys() call from the GMMU code and replace it
with a generic nvgpu_mem API. This new API, nvgpu_mem_get_phys_addr(),
returns the physical address of an nvgpu_mem struct.
Also, implement this new API in the Linux specific nvgpu_mem code
since it requires access to the underlying SGT/SGL.
JIRA NVGPU-68
Change-Id: Idf88701a2a8515464c658c26e0de493c82ff850d
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1542964
Reviewed-by: Automatic_Commit_Validation_User
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Change license of OS independent source code files to MIT.
JIRA NVGPU-218
Change-Id: I1474065f4b552112786974a16cdf076c5179540e
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1565880
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
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The basic nvgpu_mem_sgl implementation provides support
for OS specific scatter-gather list implementations by
simply copying them node by node. This is inefficient,
taking extra time and memory.
This patch implements an nvgpu_mem_sgt struct to act as
a header which is inserted at the front of any scatter-
gather list implementation. This labels every struct
with a set of ops which can be used to interact with
the attached scatter gather list.
Since nvgpu common code only has to interact with these
function pointers, any sgl implementation can be used.
Initialization only requires the allocation of a single
struct, removing the need to copy or iterate through the
sgl being converted.
Jira NVGPU-186
Change-Id: I2994f804a4a4cc141b702e987e9081d8560ba2e8
Signed-off-by: Sunny He <suhe@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1541426
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The last major item preventing the core MM code in the nvgpu
driver from being platform agnostic is the usage of Linux
scattergather tables and scattergather lists. These data
structures are used throughout the mapping code to handle
discontiguous DMA allocations and also overloaded to represent
VIDMEM allocs.
The notion of a scatter gather table is crucial to a HW device
that can handle discontiguous DMA. The GPU has a MMU which
allows the GPU to do page gathering and present a virtually
contiguous buffer to the GPU HW. As a result it makes sense
for the GPU driver to use some sort of scatter gather concept
so maximize memory usage efficiency.
To that end this patch keeps the notion of a scatter gather
list but implements it in the nvgpu common code. It is based
heavily on the Linux SGL concept. It is a singly linked list
of blocks - each representing a chunk of memory. To map or
use a DMA allocation SW must iterate over each block in the
SGL.
This patch implements the most basic level of support for this
data structure. There are certainly easy optimizations that
could be done to speed up the current implementation. However,
this patches' goal is to simply divest the core MM code from
any last Linux'isms. Speed and efficiency come next.
Change-Id: Icf44641db22d87fa1d003debbd9f71b605258e42
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1530867
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construct wrapper nvgpu_* methods to replace
mb,rmb,wmb,smp_mb,smp_rmb,smp_wmb,read_barrier_depends and
smp_read_barrier_depends.
NVGPU-122
Change-Id: I8d24dd70fef5cb0fadaacc15f3ab11531667a0df
Signed-off-by: Debarshi <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1541199
Reviewed-by: svccoveritychecker <svccoveritychecker@nvidia.com>
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Sourab Gupta <sourabg@nvidia.com>
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
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The call to __set_pd_level() for vidmem allocs had the wrong
length being passed in. This was a silent error since the subsequent
__set_pd_level() calls overwrote the bad mappings. However this
caused significantly more PDE/PTE writes than necessary since
each chunk could be mapped N times where N is the number of chunks
in an SGL.
Change-Id: Ied7247b70825dc91b9eea1c3350f4ef370ab1a52
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1537078
Reviewed-by: svccoveritychecker <svccoveritychecker@nvidia.com>
Reviewed-by: Konsta Holtta <kholtta@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Automatic_Commit_Validation_User
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Remove the mm.get_iova_addr() HAL and replace it with a new HAL
called mm.gpu_phys_addr(). This new HAL provides the real phys
address that should be passed to the GPU from a physical address
obtained from a scatter list. It also provides a mechanism by
which the HAL code can add extra bits to a GPU physical address
based on the attributes passed in. This is necessary during GMMU
page table programming.
Also remove the flags argument from the various address functions.
This flag was used for adding an IO coherence bit to the GPU
physical address which is not supported.
JIRA NVGPU-30
Change-Id: I69af5b1c6bd905c4077c26c098fac101c6b41a33
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1530864
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Fix kernel warnings for GPUs with real vidmem:
- dma.c: in nvgpu_dma_alloc_flags, ignore incoming flags when using vidmem,
since anything but NVGPU_DMA_NO_KERNEL_MAPPING will end up generating
kernel warnings, and the vidmem mapping functions ignore the other flags
anyway.
- gmmu.c: in __nvgpu_gmmu_update_page_table, use appropriate function for
memory type to retrieve physical address
Bug 1967748
Change-Id: I6fc01fd5f2c5cd7b81cba70ab59cc3c8fe4cda19
Signed-off-by: Peter Daifuku <pdaifuku@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1530877
Reviewed-by: Alex Waterman <alexw@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Add new routines for accessing and modifying PTEs in situ. They are:
__nvgpu_pte_words()
__nvgpu_get_pte()
__nvgpu_set_pte()
All the details of modifying a page table entry are handled within.
Note, however, that these routines will not build page tables. If a PTE
does not exist then said PTE will not be created. Instead -EINVAL will
be returned. But, keep in mind, a PTE marked as invalid still exists.
So this API can be used to mark an invalid PTE valid.
JIRA NVGPU-30
Change-Id: Ic8615f209a0c4eb6fa64af9abadcfb3b2c11ee73
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1510447
Reviewed-by: Automatic_Commit_Validation_User
Tested-by: Seema Khowala <seemaj@nvidia.com>
Reviewed-by: Seema Khowala <seemaj@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
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