We use bootstrap vidmem allocator for all the vidmem allocations that happen
boot time
And we need to program physical address for all the potential vidmem buffers
that we program into h/w and are needed during boot
So force the allocator to allocate contigous memory
We otherwise see a warning dump when we program physical address of memory which
is allocated in multiple pages
Bug 2180284
Jira NVGPUT-12
Change-Id: Ib9c2d42ea463bc424c2cb4da8ffd8ebae436e0f6
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1805467
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We right now have a bootstrap carveout in vidmem of size 16M and having base
address at {total_vidmem_size - 256M}
So this design divides rest of the vidmem into two chunks
And the size of bootstrap carveout is also small and insufficient for vidmem
allocations during boot
Hence increase the bootstrap vidmem carevout to 256M and move it to the end
of entire vidmem
Rename the carevout name for wpr_co to bootstrap_co as it is more appropriate
Also update __nvgpu_vidmem_do_clear_all() to clear only one chunk of vidmem
instead of two
Bug 2180284
Jira NVGPUT-12
Change-Id: I9c8d62bcd705c7112385df3d4f714e0190b48e17
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1805466
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The vidmem shall be destroyed only if it has been
initialized. If not skipped, it accesses mutexes
which are in invalid state. This results in BUG like:
BUG: spinlock bad magic on CPU#0, rmmod/1560
Also, destroy vidmem bootstrap allocator which is
set up in nvgpu_vidmem_init().
Bug 1987855
Change-Id: I68e91422a54b40feeb9071158b797828e2391303
Signed-off-by: Nitin Kumbhar <nkumbhar@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1730535
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Switch all logging to nvgpu_log*(). gk20a_dbg* macros are
intentionally left there because of use from other repositories.
Because the new functions do not work without a pointer to struct
gk20a, and piping it just for logging is excessive, some log messages
are deleted.
Change-Id: I00e22e75fe4596a330bb0282ab4774b3639ee31e
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1704148
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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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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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Convert the work_struct used by the vidmem background clearing to
a thread to make it more cross platform. The thread waits on a
condition variable to determine when work needs to be done. The
signal comes from the DMA API when it enqueues a new nvgpu_mem that
needs clearing.
Add logic for handling suspend: the CE cannot be accessed while
the GPU is suspended. As such the background thread must be paused
while the GPU is suspended and the CE is not available.
Several other changes were also made:
o Move the code that enqueues a nvgpu_mem from the DMA API
code to a function in the VIDMEM code.
o Move nvgpu_vidmem_get_pending_alloc() to the Linux specific
code as this function is only used there. It's a trivial
function that QNX can easily implement as well.
o Remove the was_empty logic from the enqueue. Now just always
signal the condition variable when anew nvgpu_mem comes in.
o Move CE suspend to after MM suspend.
JIRA NVGPU-30
JIRA NVGPU-138
Change-Id: Ie9286ae5a127c3fced86dfb9794e7d81eab0491c
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1574498
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Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reduce the usage of nvgpu_vidmem_get_page_alloc() and friends as much
as possible. This reduces the dependency of nvgpu on Linux SGLs. SGLs
still need to be used, however, since sharing buffers in userspace is
done by dma_buf FD. The best way to pass the vidmem buf through the
dma_buf is by SGL pointer.
JIRA NVGPU-30
JIRA NVGPU-138
Change-Id: Ide0e9e5a557f00aa63b063be085042101a5b34ee
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1540709
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Split the core vidmem allocation from the Linux component of vidmem
allocation. The core vidmem allocation allocates the nvgpu_mem struct
that defines the vidmem buffer in the core MM code. The Linux code
now allocates some Linux specific stuff (dma_buf, etc) and also
allocates the core vidmem buf.
JIRA NVGPU-30
JIRA NVGPU-138
Change-Id: I88e87e0abd5ec714610eacc6eac17e148bcee3ce
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1540708
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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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