Refactor read accesses to the ccsr_channel register for channel state to
be done via a channel HAL op for all chips. A new op called read_state
is added for this; information needed by other units is collected in a
new struct nvgpu_channel_hw_state.
Jira NVGPU-1307
Change-Id: Iff9385c08e17ac086d97f5771a54b56b2727e3c4
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2017266
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Extract out the HAL ops' implementation that now belongs to the channel
unit. This unit is responsible for channel register accesses and the
like (ccsr_*).
Rename channel_gm20b_bind to gm20b_fifo_channel_bind to match with the
rest of the naming. Same with channel_gv11b_unbind.
Jira NVGPU-1307
Change-Id: I58b9d96dbdaf36bdb163a5729544a41faec828ab
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2017262
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Split out ops that belong to channel unit to a new section called
channel. Channel is a broad concept; this includes just the code that
accesses channel registers (ccsr_*). This is effectively just renaming;
the implementation still stays put.
The word "channel" is also dropped from certain HAL entries to avoid
redundancy (e.g., channel.disable_channel -> channel.disable).
fifo.get_num_fifos gets an entirely new name: channel.count.
Jira NVGPU-1307
Change-Id: I9a08103e461bf3ddb743aa37ababee3e0c73c861
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2017261
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gr_gk20a_update_hwpm_ctxsw_mode() right now validates the incoming
hwpm mode, checks if it is already set, and if not, it will go ahead
and set the new hwpm mode by calling g->ops.gr.ctxsw_prog HALs
Instead of programming hwpm mode in gr_gk20a.c, move the programming
to gr/ctx and gr/subctx units by adding below APIs
nvgpu_gr_ctx_prepare_hwpm_mode() - validate the incoming mode and
check if it is already set
nvgpu_gr_ctx_set_hwpm_mode() - set pm mode in graphics context
nvgpu_gr_subctx_set_hwpm_mode() - set pm mode in subcontext
Add gpu_va field to struct pm_ctx_desc to store the gpu_va to be
programmed into context
Rename NVGPU_DBG_HWPM_CTXSW_MODE_* to NVGPU_GR_CTX_HWPM_CTXSW_MODE_*
and move them to gr/ctx.h
Remove below HALs since they are no longer used
g->ops.gr.ctxsw_prog.set_pm_mode_no_ctxsw()
g->ops.gr.ctxsw_prog.set_pm_mode_ctxsw()
g->ops.gr.ctxsw_prog.set_pm_mode_stream_out_ctxsw()
Jira NVGPU-1527
Jira NVGPU-1613
Change-Id: Id2a4d498182ec0e3586dc7265f73a25870ca2ef7
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2011093
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LSF loader cleanup, on gm20b/gp10b PMU falcon & other GR falcons
uses different struct to store loader config which needs different
functions to fill LSF loader config data, but on gv11b/gv10x/tu10a
uses common falcon struct to store loader config, so made single
function to fill LSF loader config data using ACR LSF struct &
removed duplicate code.
Removed ACR LSF loader ops which were part of PMU ops
to cleanup dependency
JIRA NVGPU-1148
Change-Id: I681829e05463d2517a4049433d8b0de3adeb06d9
Signed-off-by: Mahantesh Kumbar <mkumbar@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2012853
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Added data struct under ACR struct to manage LS falcons ucode
as LS falcon ucode holds multiple properties & can be set at acr
init stage to bootstrap LS falcons as required, at present LS falcons
code is part ACR & partially part of PMU code to setup LSF bootstrap,
so, needed to clean up the dependency.
JIRA NVGPU-1148
Change-Id: Ie206e129e3db838041db44d5227ab76a1de991c8
Signed-off-by: Mahantesh Kumbar <mkumbar@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2012763
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A comment for gk20a_fifo_update_runlist() says:
/* add/remove a channel from runlist
special cases below: runlist->active_channels will NOT be changed.
(ch == NULL && !add) means remove all active channels from runlist.
(ch == NULL && add) means restore all active channels on runlist. */
Those special cases call for a new function, so add that. Delete the
update_runlist HAL op and add update_for_channel (like update_runlist
without the special cases) and reload (no channel to add or remove, just
the special cases).
While at it, rename gk20a_fifo_update_runlist_ids to
nvgpu_runlist_reload_ids. It's common across chips and does what the
reload HAL does but for a list of several IDs.
Jira NVGPU-1922
Change-Id: I9a99ab03a636a1214c021faad359d2b304a9472f
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2013058
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Add new unit gr/config to initialize GR configuration like GPC/TPC
count, MAX count and mask
Create new structure nvgpu_gr_config that stores all the configuration
and that is owned by the new unit
Move below fields from struct gr_gk20a to nvgpu_gr_config in gr/config.h
Struct gr_gk20a now only holds the pointer to struct nvgpu_gr_config
u32 max_gpc_count;
u32 max_tpc_per_gpc_count;
u32 max_zcull_per_gpc_count;
u32 max_tpc_count;
u32 gpc_count;
u32 tpc_count;
u32 ppc_count;
u32 zcb_count;
u32 pe_count_per_gpc;
u32 *gpc_tpc_count;
u32 *gpc_ppc_count;
u32 *gpc_zcb_count;
u32 *pes_tpc_count[GK20A_GR_MAX_PES_PER_GPC];
u32 *gpc_tpc_mask;
u32 *pes_tpc_mask[GK20A_GR_MAX_PES_PER_GPC];
u32 *gpc_skip_mask;
u8 *map_tiles;
u32 map_tile_count;
u32 map_row_offset;
Remove gr->sys_count since it was already no longer used
common/gr/config/gr_config.c unit now exposes the APIs to initialize
the configuration and also to query the configuration values
nvgpu_gr_config_init() is called to initialize GR configuration from
gr_gk20a_init_gr_config() and gr_gk20a_init_map_tiles() is simply
renamed as nvgpu_gr_config_init_map_tiles()
Expose new API nvgpu_gr_config_deinit() to deinit the configuration
Expose nvgpu_gr_config_get_*() APIs to query above configuration
fields stored in nvgpu_gr_config structure
Update vgpu_gr_init_gr_config() to initialize the configuration
from gr->config structure
Chip specific HALs that access GR register for initialization
are implemented in common/gr/config/gr_config_gm20b.c
Set these HALs for all GPUs
Jira NVGPU-1879
Change-Id: Ided658b43124ea61b9f273b82b73fdde4ed3c8f0
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2012167
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The support sparse HAL severs only one purpose: return true or false
depending on whether the given chip supports sparse mappings. This
HAL is used to, in turn, program (or not) the
NVGPU_SUPPORT_SPARSE_ALLOCS enabled flag. So instead of having all
this rigmarole to program this flag just program it for all native
GPUs. Then, in the vGPU specific characteristics function disable it
explicitly. This seems to have precedent already.
JIRA NVGPU-1737
JIRA NVGPU-1934
Change-Id: I630928ad656aaffc09fdc6b7fec9fc423aa94c38
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2006796
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Add new unit common/gr/subctx.c to manage GR subcontext
This unit provides interfaces to allocate/free/load GR subcontext
Add new header file include/nvgpu/gr/subctx.h to declare all the
interfaces.
Right now channel_gk20a structure directly includes a nvgpu_mem
for context header.
Declare a new structure nvgpu_gr_subctx for subcontext and include
this from channel_gk20a
Make all necessary changes to refer ctx_header from subctx instead
of directly referencing it from channel
Jira NVGPU-1613
Change-Id: I9eb1ee8f26fa88d2881f9b294935b65e9cbcc9b4
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1990129
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Add new hal to log the mme exception register information. Support
added for Turing only. On mme exception interrupt, read the
mme_hww_esr register and log the error based on esr register bits.
JIRA NVGPU-1241
Change-Id: Ied3db0cc8fe6e2a82ecafc9964875e2686ca0d72
Signed-off-by: Vinod G <vinodg@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2005807
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MISRA Rule-17.7 requires the return value of all functions to be used.
Fix is either to use the return value or change the function to return
void. This patch contains fix for all 17.7 violations in gm20b files.
JIRA NVGPU-677
Change-Id: I63182d52213494f871c187b5efc1637bc36bdf3d
Signed-off-by: Nicolas Benech <nbenech@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2003230
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sema cmdbuf specific functions are only for the sync functionality
of nvgpu and do not belong to fifo.
construct files sema_cmdbuf_gk20a.h and sema_cmdbuf_gk20a.c
under common/sync to contain the syncpt specific cmdbuf functions
for arch gk20a.
Jira NVGPU-1308
Change-Id: Iebeebe7a3de627f2de08d4ced74bb1aabf1eb53c
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1975922
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syncpt cmdbuf specific functions are only for the sync functionality of
nvgpu and donot belong to fifo.
construct files syncpt_cmdbuf_gk20a.h and syncpt_cmdbuf_gk20a.c under
common/sync to contain the syncpt specific cmdbuf functions for arch
gk20a.
The word 'fifo' is also removed from the name of these functions.
Jira NVGPU-1308
Change-Id: I1a1fd1d31f7decd1398f8e2ff625f95cf1f55033
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1975920
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sync cmbbuf specific ops pointers are moved into a new struct sync_ops
under the parent struct gpu_ops. The HAL assignments to the gk20a and
gv11b versions are updated to match the new struct type.
Jira NVGPU-1308
Change-Id: I1d9832ed5e938cb65747f0f6d34088552f75e2bc
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1975919
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Avoid including the HW headers directly in the HAL listings: add
indirection functions for the two ops that were naked:
- runlist.eng_runlist_base_size
- runlist.runlist_entry_size
GV100 gets a new fifo HAL file as base_size is the first one (and
currently the only one) of GV100-specific ops.
NVGPU-1309
Change-Id: Idf28b5e26c798457132ef595fa55c65bcddb1b31
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1997826
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Move regops (gk20a/regops_gk20a.c) to separate unit common/regops/regops.c
Move corresponding header (gk20a/regops_gk20a.h) to include/nvgpu/regops.h
Move rest of the platform HAL files to common/regops/ as well
Fix all the header includes to include new public header
Remove *_apply_smpc_war() declarations from headers. Corresponding
functions were cleaned up already, and declarations were left somehow
Jira NVGPU-620
Change-Id: I8b8065b9c91f69809bdeb1b4caecdc7582c8a992
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1998723
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Two new fifo hals are added.
read_pbdma_data and reset_pbdma_header.
In turing the instruction that caused the interrupt
will be stored in NV_PPBDMA_PB_DATA0 register or
NV_PPBDMA_HDR_SHADOW register, which is decided based on
NV_PPBDMA_PB_COUNT value and PB_HEADER type
JIRA NVGPU-1240
Change-Id: I54a92e317a6054335439d2d61bced28aff3eecb7
Signed-off-by: Vinod G <vinodg@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1990699
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We use below APIs to update patch context
gr_gk20a_ctx_patch_write_begin()
gr_gk20a_ctx_patch_write_end()
gr_gk20a_ctx_patch_write()
Since patch context is owned by gr/ctx unit, move these APIs
to this unit and rename them to
nvgpu_gr_ctx_patch_write_begin()
nvgpu_gr_ctx_patch_write_end()
nvgpu_gr_ctx_patch_write()
Jira NVGPU-1527
Change-Id: Iee19c7a71d074763d3dcb9b1997cb2a3159d5299
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1989214
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Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Rename __nvgpu_set_enabled() to nvgpu_set_enabled(). The original
double underscore was present to indicate that this function is a
function with potentially unintended side effects (enabling a feature
has wide ranging impact).
To not lose this documentation a comment was added to convey that this
function must be used with care.
JIRA NVGPU-1029
Change-Id: I8bfc6fa4c17743f9f8056cb6a7a0f66229ca2583
Signed-off-by: Alex Waterman <alexw@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1989434
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Currently all the global contex buffers are mapped into each graphics
context. Move all the mapping/unmapping support to gr/ctx unit since
all the mappings are owned by context itself
Add nvgpu_gr_ctx_map_global_ctx_buffers() that maps all the global
context buffers into given gr_ctx
Add nvgpu_gr_ctx_get_global_ctx_va() that returns VA of the mapping
for requested index
Remove g->ops.gr.map_global_ctx_buffers() since it is no longer
required. Also remove below APIs
gr_gk20a_map_global_ctx_buffers()
gr_gk20a_unmap_global_ctx_buffers()
gr_tu104_map_global_ctx_buffers()
Remove global_ctx_buffer_size from nvgpu_gr_ctx since it is no
longer used
Jira NVGPU-1527
Change-Id: Ic185c03757706171db0f5a925e13a118ebbdeb48
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1987739
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Add new unit common/gr/ctx.c to manage GR context
This unit provides interfaces to allocate/free/map/unmap GR context,
patch context, pm context, ctxsw {preempt/spill/betacb/pagepool/rtvcb}
buffers.
It also provides APIs to set size of above buffers
Add new header file include/nvgpu/gr/ctx.h to declare all the interfaces.
Move nvgpu_gr_ctx, patch_desc, pm_ctx_desc, zcull_ctx_desc structures
to this unit
Add new structure nvgpu_gr_ctx_desc to hold context description
parameters. For now we add sizes of all the buffers here.
Add this structure to gr_gk20a for global reference
Remove gr_gp10b_alloc_buffer() since it is no longer used
Rename g->ops.gr.alloc_gfxp_rtv_cb() to g->ops.gr.init_gfxp_rtv_cb()
since this HAL now only sets the size of rtvcb ctxsw buffer
Remove gr->ctx_vars.buffer_size and gr->ctx_vars.buffer_total_size
since they were redundant. We already have gr->ctx_vars.golden_image_size
to denote golden image size
Jira NVGPU-1527
Change-Id: I8847b347f80235209dd5e28d979e79984ab85408
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1987702
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MISRA rule 10.1 mandates that the correct data types are used as
operands of operators. For example, only unsigned integers can be used
as operands of bitwise operators.
This patch fixes rule 10.1 vioaltions for gm20b.
JIRA NVGPU-777
JIRA NVGPU-1006
Change-Id: I0c8b3f04c943a1cea23ce3f678ebb915e8a5a5da
Signed-off-by: Sai Nikhil <snikhil@nvidia.com>
Signed-off-by: Adeel Raza <araza@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1971166
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MISRA rule 10.1 prohibits using signed values with bitwise operators.
Make fifo invalid ID macros compliant with this MISRA rule.
Also use these macros in source code instead of hardcoded numbers to
make the code more readable.
JIRA NVGPU-1006
Change-Id: I2f336d1decbc53b08f93587f2e00ea2cce47f72b
Signed-off-by: Adeel Raza <araza@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1983700
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Extract non-chip-specific code that manages the runlists (init, update,
reschedule etc.) to a new file in the common directory. Move the
declarations to a new matching runlist.h header.
Jira NVGPU-1309
Change-Id: I3c7e0032899516487037f47ddc9a7e7aa4b0b33a
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1978058
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With intention to make falcon header free of private data we are making
all falcon struct members (pmu.flcn, sec2.flcn, fecs_flcn, gpccs_flcn,
nvdec_flcn, minion_flcn, gsp_flcn) in the gk20a, pointers to struct
nvgpu_falcon. Falcon structures are allocated/deallocated by
falcon_sw_init & _free respectively.
While at it, remove duplicate gk20a.pmu_flcn and gk20a.sec2_flcn,
refactor flcn_id assignment and introduce falcon_hal_sw_free.
JIRA NVGPU-1594
Change-Id: I222086cf28215ea8ecf9a6166284d5cc506bb0c5
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1968242
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Update the fifo code to use the HALs exposed by "Top" unit to
read data from device_info table.
The information for GRAPHICS engine in device_info table is
now parsed using the get_device_info HAL from "Top" unit.
Copy engine(CE) has multiple entries in the device_info table
corresponding to each instance of the engine. Prior to Pascal, each
instance of an engine was denoted by different engine type.
For example in GM20B, there are engine types like COPY_ENGINE0,
COPY_ENGINE1 and so on. In Pascal and chips beyond, a new field
called "inst_id" is added and the engine_type is kept the same for
different instances of an engine. For example in GP10B, all copy
engine entries have same engine type i.e ENGINE_LCE, but different
inst_ids. So for Pascal and chips beyond, we use a different HAL to
get CE information from device_info table.
JIRA NVGPU-1053
Change-Id: Ib40a616d903a5dbef5730678c2ebc3454b8e900d
Signed-off-by: Tejal Kudav <tkudav@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1969400
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The device_info table is an array of registers which contain engine
specific data for engines like CE, graphics, nvdec, ioctrl etc.
These registers contain data like intr_enum, reset_enum, pri_base
and so on. The Top unit would include HAL to parse this table and
get data for a particular engine.
Some engines like CE have multiple entries in the device_info table
corresponding to each instance of the engine. Prior to Pascal, each
instance of an engine was denoted by different engine type.
For example in GM20B, there are engine types like COPY_ENGINE0,
COPY_ENGINE1 and so on. In Pascal and chips beyond, a new field
called "inst_id" is added and the engine_type is kept the same.
For example in GP10B, all copy engine entries have same engine type
i.e ENGINE_LCE, but different inst_ids. So for Pascal and chips
beyond, add HAL to get number of entries corresponding to an engine
type.The "get_device_info" HAL will parse a specific instance
of the engine using inst_id argument
JIRA NVGPU-1053
Change-Id: Ie3058b1c1bfdd87bfa47e5f037d049d9d50cfc0b
Signed-off-by: Tejal Kudav <tkudav@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1969399
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GVS: Gerrit_Virtual_Submit
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Follow-up change to rename g->ops.mm.bar1_map (and implementations)
to more specific g->ops.mm.bar1_map_userd.
Also use nvgpu_big_zalloc() to allocate userd slabs memory descriptors.
Bug 2422486
Bug 200474793
Change-Id: Iceff3bd1d34d56d3bb9496c179fff1b876b224ce
Signed-off-by: Thomas Fleury <tfleury@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1970891
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Any tsg specific functions that does high-level software-centric
operations below to the TSG unit and not the FIFO unit.
Move the below public functions as well as their dependent
static functions to common/fifo/tsg.c and also rename them to use the
prefix nvgpu_tsg_*
gk20a_fifo_set_ctx_mmu_error_tsg
gk20a_fifo_abort_tsg
gk20a_fifo_error_tsg
gk20a_fifo_check_tsg_ctxsw_timeout
Jira NVGPU-1237
Change-Id: I4e3da821a878d4b4a0a0b53fbb7f4c10f135f58d
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1934299
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Any channel specific functions having high-level software-centric
operations belong to the channel unit and not the FIFO unit.
Move the below public functions as well as their dependent
static functions to common/fifo/channel.c. Also, rename the functions
to use the prefix nvgpu_channel_*.
gk20a_fifo_set_ctx_mmu_error_ch
gk20a_fifo_error_ch
gk20a_fifo_check_ch_ctxsw_timeout
Jira NVGPU-1237
Change-Id: Id6b6d69bbed193befbfc4c30ecda1b600d846199
Signed-off-by: Debarshi Dutta <ddutta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1932358
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The function gk20a_fifo_sched_disable_rw accesses HW directly. Rename it
and add a HAL indirection so that it can be called from chip-independent
code.
Also fix some trivial MISRA violations in the function.
Jira NVGPU-1309
Change-Id: Icf320738d3d1d4baa40257a9da3ca2c6b7fefc0b
Signed-off-by: Konsta Holtta <kholtta@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1971274
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g->ops.gr.alloc_gr_ctx HAL right now allocates graphics context and
also initializes preemption mode for various platforms
Separate out a new HAL g->ops.gr.init_ctxsw_preemption_mode that
initializes preemption mode and call it from gk20a_alloc_obj_ctx()
after context is created
g->ops.gr.alloc_gr_ctx now only allocates the context as the name
suggests
Jira NVGPU-1527
Change-Id: I8a44672d5ab2ebfe315e6334115265e4ee4f24f0
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1972254
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g->ops.gr.enable_cde_in_fecs and g->ops.gr.update_boosted_ctx
are no longer required since we can directly call
g->ops.gr.ctxsw_prog.set_cde_enabled and
g->ops.gr.ctxsw_prog.set_pmu_options_boost_clock_frequencies
respectively
remove those functions and the ops
Jira NVGPU-1526
Change-Id: Idb0ad5f634e78aac44ec325ba2b7f59c612b29e8
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1972184
GVS: Gerrit_Virtual_Submit
Reviewed-by: Konsta Holtta <kholtta@nvidia.com>
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MISRA rule 16.3 states all switch clause to have break statement.
Fixing the missing break statement for default case.
Two consecutive labels without statement need not have break.
So no break is added for case without any statement.
This also makes the switch statement well-formed covering 16.1.
JIRA NVGPU-1510
JIRA NVGPU-1536
Change-Id: I2c16888cbcb429f49f1f260e18b7c6eba55aa83c
Signed-off-by: Abdul Salam <absalam@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1964328
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GPCCS falcon base address was being set without invoking hal api. Remove
FALCON_GPCCS_BASE. This patch defines gpu_ops.gr.gpccs_falcon_base_addr
hal api to get this base address.
JIRA NVGPU-1587
Change-Id: Icfa7a26d1bb2d67c81f05a43f6ce906f59706b3d
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1969431
Reviewed-by: Automatic_Commit_Validation_User
GVS: Gerrit_Virtual_Submit
Reviewed-by: Alex Waterman <alexw@nvidia.com>
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FECS falcon base address was being set without invoking hal api. Remove
FALCON_FECS_BASE. This patch defines gpu_ops.gr.fecs_falcon_base_addr hal
api to get this base address.
JIRA NVGPU-1587
Change-Id: I9c8e60be4ee81a154020c982893725a12ebb72ef
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1969430
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PMU falcon base address was being set without invoking hal api. Remove
FALCON_PWR_BASE. This patch defines gpu_ops.pmu.falcon_base_addr hal api
to get this base address.
JIRA NVGPU-1587
Change-Id: I5c3f27e89bdcc775025bc8d4fa9cf0af11ceb002
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1969428
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GVS: Gerrit_Virtual_Submit
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PMU counters #0 and #4 are used to count total cycles and busy cycles.
These counts are used by podgov to estimate GPU load.
PMU idle intr status register is used to monitor overflow. Overflow
rarely occurs because frequency governor reads and resets the counters
at a high cadence. When overflow occurs, 100% work load is reported to
frequency governor.
Bug 1963732
Change-Id: I046480ebde162e6eda24577932b96cfd91b77c69
Signed-off-by: Peng Liu <pengliu@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1939547
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We had to force allocation of physically contiguous memory for
USERD in nvlink case, as a channel's USERD address is computed as
an offset from fifo->userd address, and nvlink bypasses SMMU.
With 4096 channels, it can become difficult to allocate 2MB of
physically contiguous sysmem for USERD on a busy system.
PBDMA does not require any sort of packing or contiguous USERD
allocation, as each channel has a direct pointer to that channel's
512B USERD region. When BAR1 is supported we only need the GPU VAs
to be contiguous, to setup the BAR1 inst block.
- Add slab allocator for USERD.
- Slabs are allocated in SYSMEM, using PAGE_SIZE for slab size.
- Contiguous channels share the same page (16 channels per slab).
- ch->userd_mem points to related nvgpu_mem descriptor
- ch->userd_offset is the offset from the beginning of the slab
- Pre-allocate GPU VAs for the whole BAR1
- Add g->ops.mm.bar1_map() method
- gk20a_mm_bar1_map() uses fixed mapping in BAR1 region
- vgpu_mm_bar1_map() passes the offset in TEGRA_VGPU_CMD_MAP_BAR1
- TEGRA_VGPU_CMD_MAP_BAR1 is called for each slab.
Bug 2422486
Bug 200474793
Change-Id: I202699fe55a454c1fc6d969e7b6196a46256d704
Signed-off-by: Thomas Fleury <tfleury@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1959032
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