| Commit message (Collapse) | Author | Age |
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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>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Move field "struct device *dev" from struct gk20a to struct
nvgpu_os_linux. The field is valid only for Linux.
JIRA NVGPU-38
Change-Id: I09286aa3a9c5a2406e5a27c1fbf21b2c515b4dd4
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: https://git-master/r/1514162
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Ensure that all debug prints are consistent from chip to chip
and function to function. The following maps letters in the
debug print to their meaning:
C Mapping is cachable
v Mapping is volatile
S Mapping is sparse
P Mapping is private (VPR/WPR)
c Mapping is coherent
V Mapping is valid
JIRA NVGPU-30
Change-Id: Ia890af88677c3e6d3fdd8c4fe266158c35b8afcd
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master/r/1514903
GVS: Gerrit_Virtual_Submit
Reviewed-by: Deepak Nibade <dnibade@nvidia.com>
Tested-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
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Use sysmem_coherent aperture if the buffer mappings are requested
to be IO coherent. Use sysmem_noncoherent aperture otherwise. This
is implemented by adding a new coherent field to the GMMU attrs
struct.
Jira GPUT19X-17
Bug 1651331
Bug 200283998
Change-Id: I5cfb71b5913d4db50ebf10331b19f5a4216456bf
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master/r/1514438
GVS: Gerrit_Virtual_Submit
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
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We do not support coherence for gp10b, hence clean up related code
Remove API gp10b_mm_phys_addr_translate() and use physical address
instead
Also, since now gp10b_mm_iova_addr() becomes equivalent to
gk20a_mm_iova_addr(), remove gp10b_mm_iova_addr() altogether
We first set gk20a_mm_iova_addr() to get_iova_addr() pointer anyways
so we continue using gk20a version of the API
Jira GPUT19X-17
Bug 1651331
Bug 200283998
Change-Id: Ic1ca198fcde7ddbcd23516bff8a2e65c9eae32b1
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master/r/1512598
GVS: Gerrit_Virtual_Submit
Reviewed-by: Vijayakumar Subbu <vsubbu@nvidia.com>
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In some cases page directories require less than a full page of memory.
For example, on Pascal, the final PD level for large pages is only 256 bytes;
thus 16 PDs can fit in a single page. To allocate an entire page for each of
these 256 B PDs is extremely wasteful. This patch aims to alleviate the
wasted DMA memory from having small PDs in a full page by packing multiple
small PDs into a single page.
The packing is implemented as a slab allocator - each page is a slab and
from each page multiple PD instances can be allocated. Several modifications
to the nvgpu_gmmu_pd struct also needed to be made to support this. The
nvgpu_mem is now a pointer and there's an explicit offset into the nvgpu_mem
struct so that each nvgpu_gmmu_pd knows what portion of the memory it's
using.
The nvgpu_pde_phys_addr() function and the pd_write() functions also require
some changes since the PD no longer is always situated at the start of the
nvgpu_mem.
Initialization and cleanup of the page tables for each VM was slightly
modified to work through the new pd_cache implementation. Some PDs (i.e
the PDB), despite not being a full page, still require a full page for
alignment purposes (HW requirements). Thus a direct allocation method for
PDs is still provided. This is also used when a PD that could in principle
be cached is greater than a page in size.
Lastly a new debug flag was added for the pd_cache code.
JIRA NVGPU-30
Change-Id: I64c8037fc356783c1ef203cc143c4d71bbd5d77c
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master/r/1506610
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
GVS: Gerrit_Virtual_Submit
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Update the high level mapping logic. Instead of iterating over the
GPU VA iterate over the scatter-gather table chunks. As a result
each GMMU page table update call is simplified dramatically.
This also modifies the chip level code to no longer require an SGL
as an argument. Each call to the chip level code will be guaranteed
to be contiguous so it only has to worry about making a mapping from
virt -> phys.
This removes the dependency on Linux that the chip code currently
has. With this patch the core GMMU code still uses the Linux SGL but
the logic is highly transferable to a different, nvgpu specific,
scatter gather list format in the near future.
The last major update is to push most of the page table attribute
arguments to a struct. That struct is passed on through the various
mapping levels. This makes the funtions calls more simple and
easier to follow.
JIRA NVGPU-30
Change-Id: Ibb6b11755f99818fe642622ca0bd4cbed054f602
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master/r/1484104
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
GVS: Gerrit_Virtual_Submit
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Make default big page size query a HAL op instead of per-platform
constant. This allows querying for default big page size without
accessing Linux specific gk20a_platform structure.
JIRA NVGPU-38
Change-Id: Ibfbd1319764fdae5fdb06700fb64d23f6f3dd01a
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: https://git-master/r/1507928
Reviewed-by: Automatic_Commit_Validation_User
GVS: Gerrit_Virtual_Submit
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Support only VM pointers and ref-counting for maintaining VMs. This
dramatically reduces the complexity of the APIs, avoids the API
abuse that has existed, and ensures that future VM usage is
consistent with current usage.
Also remove the combined VM free/instance block deletion. Any place
where this was done is now replaced with an explict free of the
instance block and a nvgpu_vm_put().
JIRA NVGPU-12
JIRA NVGPU-30
Change-Id: Ib73e8d574ecc9abf6dad0b40a2c5795d6396cc8c
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: http://git-master/r/1480227
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Remove the VM init/de-init from the HAL and instead use a single
set of routines that init/de-init VMs. This prevents code divergence
between vGPUs and regular GPUs.
This patch also clears up the naming of the routines a little bit.
Since some VMs are used inplace and others are dynamically allocated
the APIs for freeing them were confusing. Also some free calls also
clean up an instance block (this is API abuse - but this is how it
currently exists).
The new API looks like this:
void __nvgpu_vm_remove(struct vm_gk20a *vm);
void nvgpu_vm_remove(struct vm_gk20a *vm);
void nvgpu_vm_remove_inst(struct vm_gk20a *vm,
struct nvgpu_mem *inst_block);
void nvgpu_vm_remove_vgpu(struct vm_gk20a *vm);
int nvgpu_init_vm(struct mm_gk20a *mm,
struct vm_gk20a *vm,
u32 big_page_size,
u64 low_hole,
u64 kernel_reserved,
u64 aperture_size,
bool big_pages,
bool userspace_managed,
char *name);
void nvgpu_deinit_vm(struct vm_gk20a *vm);
JIRA NVGPU-12
JIRA NVGPU-30
Change-Id: Ia4016384c54746bfbcaa4bdd0d29d03d5d7f7f1b
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: http://git-master/r/1477747
Reviewed-by: Automatic_Commit_Validation_User
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Refactor the API for initializing and cleaning up VMs.
This also involved moving a bunch of GMMU code out into the
gmmu code since part of initializing a VM involves initializing
the page tables for the VM.
JIRA NVGPU-12
JIRA NVGPU-30
Change-Id: I4710f08c26a6e39806f0762a35f6db5c94b64c50
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: http://git-master/r/1477746
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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This patch begins splitting out the VM implementation from mm_gk20a.c and
moves it to common/linux/vm.c and common/mm/vm.c. This split is necessary
because the VM code has two portions: first, an interface for the OS
specific code to use (i.e userspace mappings), and second, a set of APIs
for the driver to use (init, cleanup, etc) which are not OS specific.
This is only the beginning of the split - there's still a lot of things
that need to be carefully moved around.
JIRA NVGPU-12
JIRA NVGPU-30
Change-Id: I3b57cba245d7daf9e4326a143b9c6217e0f28c96
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: http://git-master/r/1477743
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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This patch begins the major rework of the GPU's virtual memory manager
(VMM). The VMM is the piece of code that handles the userspace interface
to buffers and their mappings into the GMMU. The core data structure is
the VM - for now still known as 'struct vm_gk20a'. Each one of these
structs represents one addres space to which channels or TSGs may bind
themselves to.
The VMM splits the interface up into two broad categories. First there's
the common, OS independent interfaces; and second there's the OS specific
interfaces.
OS independent
--------------
This is the code that manages the lifetime of VMs, the buffers inside
VMs (search, batch mapping) creation, destruction, etc.
OS Specific
-----------
This handles mapping of buffers represented as they are represented by
the OS (dma_buf's for example on Linux).
This patch is by no means complete. There's still Linux specific functions
scattered in ostensibly OS independent code. This is the first step. A
patch that rewrites everything in one go would simply be too big to
effectively review.
Instead the goal of this change is to simply separate out the basic
OS specific and OS agnostic interfaces into their own header files. The
next series of patches will start to pull the relevant implementations
into OS specific C files and common C files.
JIRA NVGPU-12
JIRA NVGPU-30
Change-Id: I242c7206047b6c769296226d855b7e44d5c4bfa8
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: http://git-master/r/1464939
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Remove gk20a_platform dependencies from gk20a.h. This makes
gk20a_platform a Linux platform specific data structure. Add #include
for platform_gk20a.h in the source files that still depend on Linux.
JIRA NVGPU-16
Change-Id: Ib098accd34a1f5066eb8680c387f9b178169f3f0
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: http://git-master/r/1463547
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Hide the Linux specific nvgpu_mem fields so that in subsequent patches
core code can instead of using struct sg_table it can use mem_desc.
Routines for accessing system specific fields will be added as needed.
This is the first step in a fairly major overhaul of the GMMU mapping
routines. There are numerous issues with the current design (or lack
there of): massively coupled code, system dependencies, disorganization,
etc.
JIRA NVGPU-12
JIRA NVGPU-30
Change-Id: I2e7d3ae3a07468cfc17c1c642d28ed1b0952474d
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: http://git-master/r/1464076
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Use platform agnostic delay functions instead of Linux kernel APIs.
This allows removing dependency to Linux header linux/delay.h. At the
same time remove #include lines for other unused Linux headers.
JIRA NVGPU-16
Change-Id: I05df9d72edaf4bb061febe0cb40fc8a7cf9f51c7
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: http://git-master/r/1460114
Reviewed-by: svccoveritychecker <svccoveritychecker@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Alex Waterman <alexw@nvidia.com>
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Make an nvgpu DMA API include file so that the intricacies of the
Linux DMA API can be hidden from the calling code.
Also document the nvgpu DMA API.
JIRA NVGPU-12
Change-Id: I7578e4c726ad46344b7921179d95861858e9a27e
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: http://git-master/r/1323326
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Renaming was done with the following command:
$ find -type f | \
xargs sed -i 's/struct mem_desc/struct nvgpu_mem/g'
Also rename mem_desc.[ch] to nvgpu_mem.[ch].
JIRA NVGPU-12
Change-Id: I69395758c22a56aa01e3dffbcded70a729bf559a
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: http://git-master/r/1325547
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Rename the functions used for mem_desc access to nvgpu_mem_*.
JIRA NVGPU-12
Change-Id: Ibfdc1112d43f0a125e4487c250e3f977ffd2cd75
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: http://git-master/r/1323325
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Add bus HAL and move all bus related hardware sequencing to that file:
BAR1 binding, timer access, and interrupt handling.
Change-Id: Ibc5f5797dc338de10749b446a7bdbcae600fecb4
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: http://git-master/r/1323353
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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-Moved ACR interface headers from acr_gm20b.h/acr_gp106.h to
Its specific header files under drivers/gpu/nvgpu/include/nvgpu/acr/
Folder.
- nvgpu_acr.h - Top-level header-file which include ACR interfaces
headers & defines required to communicate with ACR, including this
header file is good to get access into ACR interface & made changes
accordingly,
-Deleted acr.h & acr_t18x.h as not required anymore
& removed its include from dependent files.
Jira NVGPU-19
Change-Id: Ie404043cfe1ab32404eb63a43831f470d8436324
Signed-off-by: Mahantesh Kumbar <mkumbar@nvidia.com>
Reviewed-on: http://git-master/r/1304748
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Move semaphore_gk20a.c drivers/gpu/nvgpu/common/ since the semaphore
code is common to all chips.
Move the semaphore_gk20a.h header file to drivers/gpu/nvgpu/include/nvgpu
and rename it to semaphore.h. Also update all places where the header
is inluced to use the new path.
This revealed an odd location for the enum gk20a_mem_rw_flag. This should
be in the mm headers. As a result many places that did not need anything
semaphore related had to include the semaphore header file. Fixing this
oddity allowed the semaphore include to be removed from many C files that
did not need it.
Bug 1799159
Change-Id: Ie017219acf34c4c481747323b9f3ac33e76e064c
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: http://git-master/r/1284627
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Move the gp10b HW headers to a new directory specially for them:
include/nvgpu/hw/gp10b
And change the code to include like so:
#include <nvgpu/hw/gp10b/hw_fb_gp10b.h>
This is part of the process to restructure the nvgpu driver.
Bug 1799159
Change-Id: Ic80ea5b7f5c280839e502e2178a345181f7a7ef9
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: http://git-master/r/1280326
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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JIRA GV11B-21
Change-Id: I3e2cb2384b6a26ba339a79d38c91dd47480fe6a6
Signed-off-by: seshendra Gadagottu <sgadagottu@nvidia.com>
Reviewed-on: http://git-master/r/1254876
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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The lowest page table level may hold very few entries for mappings of
large pages, but a new page is allocated for each list of entries at the
lowest level, wasting memory and performance. Compact these so that the
new "allocation" of ptes is appended at the end of the previous
allocation, if there is space.
Bug 1736604
Change-Id: I4c7c4cad9019de202325750aee6034076e7e61c2
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: http://git-master/r/1222810
(cherry picked from commit 97303ecc946c17150496486a2f52bd481311dbf7)
Reviewed-on: http://git-master/r/1234995
Reviewed-by: Automatic_Commit_Validation_User
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Use entry->mem for determining the target aperture bits of the memory
block represented by entry->mem in update_gmmu_pde0_locked(), instead of
pte->mem that holds the parent memory where this bit is written to.
Previously this has worked because all page tables have been in the same
aperture, but really large userspace allocations may push a part of them
suddendly to sysmem.
Bug 1809939
Change-Id: I3372487c6ae9793018ce44552ded3fb1ba4d145a
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: http://git-master/r/1218636
(cherry picked from commit a92596f6e8e621e51b6afae9ab7e62044d6311eb)
Reviewed-on: http://git-master/r/1220525
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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For bar2 and pmu instance blocks, use gk20a_aperture_mask()
to select target address (i.e. if address is in sysmem or
vidmem) based on aperture
Also add target accessors for gr_fecs_new_ctx and
gr_fecs_arb_ctx_ptr
Jira DNVGPU-22
Change-Id: Ieaa80bd83a4191fe57b7fba6e0f9cdaeb195a077
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: http://git-master/r/1216138
(cherry picked from commit 7a9f4175abc5dddf0879215de4637b7b6eb0ab7b)
Reviewed-on: http://git-master/r/1219712
Reviewed-by: Automatic_Commit_Validation_User
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Since page tables could either reside either in sysmem
or vidmem, use gk20a_mem_get_base_addr() to get the
base address for buffer
This API will take care of returning proper base address
Jira DNVGPU-20
Change-Id: I3422b51c3ffb8fb86f1dc5095263fc8f19dae44d
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: http://git-master/r/1206407
(cherry picked from commit 3c4b22c35b2c4eec33234c2f8dccd9de9422d093)
Reviewed-on: http://git-master/r/1210962
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Modify page table updates to take an aperture flag (up until
gk20a_locked_gmmu_map()), don't hard-assume sysmem and propagate it to
hardware.
Jira DNVGPU-76
Change-Id: I797fdaaf5f42a84fa0446577359147fb6908a720
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: http://git-master/r/1169295
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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add gk20a_aperture_mask() for memory target selection now that buffers
can actually be allocated from vidmem, and use it in all cases that have
a mem_desc available.
Jira DNVGPU-76
Change-Id: Ifd1908808d928155a0cadeff8ca451a151bfc8c5
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: http://git-master/r/1169294
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Program sysmem flush address to prevent random accesses of
address 0.
Change-Id: Ia577106c63a80589c154af41d18b70480ed7c7d7
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: http://git-master/r/1149174
Reviewed-by: Automatic_Commit_Validation_User
GVS: Gerrit_Virtual_Submit
Reviewed-by: Alex Waterman <alexw@nvidia.com>
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To support vidmem, pass g and mem_desc to the buffer memory accessor
functions. This allows the functions to select the memory access method
based on the buffer aperture instead of using the cpu pointer directly
(like until now). The selection and aperture support will be in another
patch; this patch only refactors these accessors, but keeps the
underlying functionality as-is.
JIRA DNVGPU-23
Change-Id: I21d4a54827b0e2741012dfde7952c0555a583435
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: http://git-master/r/1121914
GVS: Gerrit_Virtual_Submit
Reviewed-by: Ken Adams <kadams@nvidia.com>
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Function trace in update_gmmu_ptes_locked() cause too much spew on
UART.
Change-Id: I94c79be76394631cdee343b2f77e4bf0f830e0a8
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: http://git-master/r/1144808
Reviewed-by: Automatic_Commit_Validation_User
GVS: Gerrit_Virtual_Submit
Reviewed-by: David Martinez Nieto <dmartineznie@nvidia.com>
Reviewed-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-by: Ken Adams <kadams@nvidia.com>
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For upcoming vidmem refactor, replace struct gk20a_mm_entry's contents
identical to struct mem_desc, with a struct mem_desc member. This makes
it possible to use the page table buffers like the others too.
JIRA DNVGPU-23
JIRA DNVGPU-20
Change-Id: Ia82da07b5a3bb9fb14a86bcf96a46b3a3c80bf28
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: http://git-master/r/1139696
GVS: Gerrit_Virtual_Submit
Reviewed-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-by: Ken Adams <kadams@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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In Tegra GPU, SoC memory has to be accessed as vidmem. In discrete GPU, it
has to be accessed as sysmem.
Change-Id: Id26588df17b4921533804f72bc8c0ac3892ae154
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: http://git-master/r/1122591
GVS: Gerrit_Virtual_Submit
Reviewed-by: Seshendra Gadagottu <sgadagottu@nvidia.com>
Tested-by: Seshendra Gadagottu <sgadagottu@nvidia.com>
Reviewed-by: Konsta Holtta <kholtta@nvidia.com>
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Support GPUs which cannot choose between SMMU and physical
addressing.
Change-Id: Ic097fccb313d98fcea918a705eefb5cd619138f1
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: http://git-master/r/1122590
Reviewed-by: Konsta Holtta <kholtta@nvidia.com>
GVS: Gerrit_Virtual_Submit
Reviewed-by: Alex Waterman <alexw@nvidia.com>
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Tell gk20a_init_vm() that bar2 VM is kernel-managed.
Bug 200077571
Change-Id: I151c540a6dec76238e7959f745cfca280927f2d4
Signed-off-by: Sami Kiminki <skiminki@nvidia.com>
Reviewed-on: http://git-master/r/746803
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
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This reverts commit c2707054192b058eec24a52c7f586b030f9ff007. It
introduces regression in T124.
Bug 1702063
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Change-Id: I8516c0bfe129bb1ac3d7a1983846061df8ae967b
Reviewed-on: http://git-master/r/830787
Reviewed-by: Automatic_Commit_Validation_User
GVS: Gerrit_Virtual_Submit
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Change-Id: I260958d8dea1b445f91b8d15bf76d5321bdc76d1
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: http://git-master/r/758653
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Implement function to support bar2 vm clean-up.
Signed-off-by: Seshendra Gadagottu <sgadagottu@nvidia.com>
Reviewed-on: http://git-master/r/814573
Change-Id: If5d884e4e1ed87bec6284719d90e9e1963c69bed
Signed-off-by: Seshendra Gadagottu <sgadagottu@nvidia.com>
Reviewed-on: http://git-master/r/815428
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Bug 1689976
Change-Id: Ibf1c296fac4f2a2c6fcf062cbd80b3526a4fd4ed
Signed-off-by: Jussi Rasanen <jrasanen@nvidia.com>
Reviewed-on: http://git-master/r/806588
(cherry picked from commit 24b57989dc9636b41004bac32ee56dce90318350)
Reviewed-on: http://git-master/r/808242
GVS: Gerrit_Virtual_Submit
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Specify that everything in bar2 VM is kernel reserved.
Bug 200077571
Change-Id: I8f6c6ac6352ffd64eedc09187593b6c8d05757ef
Signed-off-by: Sami Kiminki <skiminki@nvidia.com>
Reviewed-on: http://git-master/r/746802
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Use physical addresses in PDEs. All page table levels fit in 4k, so no
need for SMMU mapping.
Change-Id: Id9e418f35a79343f4a332a230e04abda5e0dd5d2
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: http://git-master/r/783748
GVS: Gerrit_Virtual_Submit
Reviewed-by: Alex Waterman <alexw@nvidia.com>
Reviewed-by: Seshendra Gadagottu <sgadagottu@nvidia.com>
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This reverts commit f7bf99929cf2ec5a295ac21c74cf9c4f1afd78c5.
Change-Id: I0acfa18e9cf9bedd4051ec00faa497b3cdb9454b
Signed-off-by: Matt Craighead <mcraighead@nvidia.com>
Reviewed-on: http://git-master/r/768599
Reviewed-by: Hiroshi Doyu <hdoyu@nvidia.com>
Tested-by: Hiroshi Doyu <hdoyu@nvidia.com>
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Implement support for privileged pages. Use them for kernel allocated buffers.
Change-Id: I24778c2b6063b6bc8a4bfd9d97fa6de01d49569a
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: http://git-master/r/761920
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Use always physical addresses for page tables. In gp10b new format
each level fits in one page, so we do not need SMMU translation.
Change-Id: Ie46b2bce0f7a4e8d2904d74b1df616e389874141
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: http://git-master/r/758181
Reviewed-by: Automatic_Commit_Validation_User
GVS: Gerrit_Virtual_Submit
Reviewed-by: Alex Waterman <alexw@nvidia.com>
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We were dropping the part of address that span word bounary. The register
generator does not know how to real with multi-word fields, to edit things
in manually.
Bug 1646531
Change-Id: I3ef06d6dfcb0a499ed45456d165fe60c91492250
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: http://git-master/r/747468
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Used 128k comptag spacing, when 64k is the correct one.
Bug 1525976
Change-Id: Ie2f926929fa89cf715b86a57ffbf4dd1e4920473
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: http://git-master/r/737947
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Enable new page table format for all platforms.
Bug 1525976
Change-Id: I9a3cfabdef7dc6ec33e18a8a4f32063c40f680fa
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: http://git-master/r/737364
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Fix caching attribute on 5-level page tables.
Bug 1525976
Change-Id: I5c5bf336d87c642f42a387206a55a889e6e07ba6
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: http://git-master/r/737923
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