Add new HAL gops.mc.isr_nonstall() to handle nonstall interrupts
We already handle nonstall interrupts in nvgpu_intr_nonstall()
But this API is completely in linux specific code
Separate out os-independent code to handle nonstall interrupts in new API
mc_gk20a_isr_nonstall() and set it to HAL gops.mc.isr_nonstall() for all
existing chips
Call this HAL from nvgpu_intr_nonstall()
Jira NVGPUT-8
Change-Id: Iec6a56db03158a72a256f7eee8989a0a8a42ae2f
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1706589
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Add below two new HALs
gops.fifo.runlist_hw_submit() to submit a new runlist to hardware
gops.fifo.runlist_wait_pending() to wait until runlist write is successful
Set existing API gk20a_fifo_runlist_wait_pending() to
gops.fifo.runlist_wait_pending HAL
Add new API gk20a_fifo_runlist_hw_submit() which submits the runlist to h/w
and set it to gops.fifo.runlist_hw_submit HAL
Jira NVGPUT-20
Change-Id: Ic23f7d947e30883aca0b536de818e79e14733195
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1700548
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
Reviewed-by: Konsta Holtta <kholtta@nvidia.com>
GVS: Gerrit_Virtual_Submit
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In gr_gv11b/gk20a_create_priv_addr_table() we do not consider floorswept FBPAs
and just calculate the unicast list assuming all FBPAs are present
This generates incorrect list of unicast addresses
Fix this introducing new HAL ops.gr.split_fbpa_broadcast_addr
Set gr_gv100_get_active_fpba_mask() for GV100
Set gr_gk20a_split_fbpa_broadcast_addr() for rest of the chips
gr_gv100_get_active_fpba_mask() will first get active FPBA mask and generate
unicast list only for active FBPAs
Bug 200398811
Jira NVGPU-556
Change-Id: Idd11d6e7ad7b6836525fe41509aeccf52038321f
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1694444
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We currently use hard coded values of NV_PERF_PMMGPC_CHIPLET_OFFSET and
NV_PMM_FBP_STRIDE which are incorrect for Volta
Add new GR HAL get_pmm_per_chiplet_offset() to get correct value per-chip
Set gr_gm20b_get_pmm_per_chiplet_offset() for older chips
Set gr_gv11b_get_pmm_per_chiplet_offset() for Volta
Use HAL instead of hard coded values wherever required
Bug 200398811
Jira NVGPU-556
Change-Id: I947e7febd4f84fae740a1bc74f99d72e1df523aa
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1690028
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We have new broadcast registers on Volta, and we need to generate correct
unicast addresses for them so that we can write those registers to context image
Add new GR HAL create_priv_addr_table() to do this conversion
Set gr_gk20a_create_priv_addr_table() for older chips
Set gr_gv11b_create_priv_addr_table() for Volta
gr_gv11b_create_priv_addr_table() will use the broadcast flags and then generate
appriate list of unicast register for each broadcast register
Bug 200398811
Jira NVGPU-556
Change-Id: Id53a9e56106d200fe560ffc93394cc0e976f455f
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1690027
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With Volta we have more number of broadcast registers than previous chips
and we don't decode them right now in gr_gk20a_decode_priv_addr()
Add a new GR HAL decode_priv_addr() and set gr_gk20a_decode_priv_addr() for all
previous chips
Add and use gr_gv11b_decode_priv_addr() for Volta
gr_gv11b_decode_priv_addr() will decode all the broadcast registers and set
the broadcast flags apporiately
Define below new broadcast types
PRI_BROADCAST_FLAGS_PMMGPC
PRI_BROADCAST_FLAGS_PMM_GPCS
PRI_BROADCAST_FLAGS_PMM_GPCGS_GPCTPCA
PRI_BROADCAST_FLAGS_PMM_GPCGS_GPCTPCB
PRI_BROADCAST_FLAGS_PMMFBP
PRI_BROADCAST_FLAGS_PMM_FBPS
PRI_BROADCAST_FLAGS_PMM_FBPGS_LTC
PRI_BROADCAST_FLAGS_PMM_FBPGS_ROP
Bug 200398811
Jira NVGPU-556
Change-Id: Ic673b357a75b6af3d24a4c16bb5b6bc15974d5b7
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1690026
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GV100 ucode is changed so that it expects LIST_nv_perf_pma_ctx_reg list in
ctxsw buffer to be 256 byte aligned but same change is not applied to other
chip ucodes
ADD new HAL (*add_ctxsw_reg_perf_pma) to configure PMA register list and
define a common HAL gr_gk20a_add_ctxsw_reg_perf_pma() for all other
chips except GV100
Define a separate HAL for GV100 gr_gv100_add_ctxsw_reg_perf_pma() and fix
the required alignment in this function
Bug 1998067
Change-Id: Ie172fe90e2cdbac2509f2ece953cd8552e66fc56
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1676655
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For LIST_nv_pm_fbpa_ctx_regs, we right now call
add_ctxsw_buffer_map_entries_subunits() to add registers corresponding
to all the FBPAs
But while configuring total number of registers, we do not consider
floorswept FBPAs and that causes misalignment in subsequent lists for GV100
Fix this by reading disabled/floorswept FBPAs from fuse and consider only those
FBPAs which are active for GV100
Add new HAL (*add_ctxsw_reg_pm_fbpa) to support this setting and define a
common HAL gr_gk20a_add_ctxsw_reg_pm_fbpa() for all chips except GV100
Define GV100 specific gr_gv100_add_ctxsw_reg_pm_fbpa() with above mentioned
implementation to consider floorsweeping
Bug 1998067
Change-Id: Id560551bb0b8142791c117b6d27864566c90b489
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1676654
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
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Add new characteristics flag NVGPU_GPU_FLAGS_SUPPORT_USER_SYNCPOINT to indicate
support for this new API
Add new flag NVGPU_SUPPORT_USER_SYNCPOINT for use of core driver.
Set this flag for VGPU-GV11B
Bug 200326065
Jira NVGPU-179
Change-Id: I6c992b13268b688a2bbc93a3331e987ea2f7dd0c
Signed-off-by: Lakshmanan M <lm@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1670452
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Reviewed-by: Deepak Nibade <dnibade@nvidia.com>
Tested-by: Jitendra Pratap Singh Chauhan <jchauhan@nvidia.com>
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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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Most of VGPU code is linux specific but lies in common code
So until VGPU code is properly abstracted and made os-independent,
move all of VGPU code to linux specific directory
Handle corresponding Makefile changes
Update all #includes to reflect new paths
Add GPL license to newly added linux files
Jira NVGPU-387
Change-Id: Ic133e4c80e570bcc273f0dacf45283fefd678923
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1599472
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For gp10b and previous chips, RM server will issue fake mmu fault to
reset the channel. And the mmu fault event will be sent to vgpu client,
which will cause the client to abort the channel or tsg.
But on gv11b, RM server doesn't issue fake mmu fault any more. So I need
to abort it right after the force reset is finished.
Jira EVLR-1671
Change-Id: I11399fda84d31086ba1d4ffde5948e409cde2a28
Signed-off-by: Richard Zhao <rizhao@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1597378
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TSG/CHANNEL_SET_PRIORITY IOCTLs are deprecated and user space should be using
combination of timeslice and interleave levels to decide the priority
Hence remove the IOCTLs and all corresponding APIs
Jira NVGPU-393
Change-Id: I7cf0785689269536eca0c278c774b0e9e74f8c2f
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1598581
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Modify HAL clk->get_maxfreq() signature to match the one in
clk->set_rate() and clk->get_rate(). It allows support of multiple
clocks.
Implement clk.get_maxfreq operation for vgpu and use it to
fill max_freq field in GPU characteristics query.
JIRA NVGPU-388
Change-Id: I93bfc2aa76e38b8a5e0ac55d87c4e26df6fea77f
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1597329
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We use linux specific graphics/compute preemption modes defined in uapi header
(and of below form) in all over common code
NVGPU_GRAPHICS_PREEMPTION_MODE_*
NVGPU_COMPUTE_PREEMPTION_MODE_*
Since common code should be independent of linux specific code, define new modes
of the form in common code and used them everywhere
NVGPU_PREEMPTION_MODE_GRAPHICS_*
NVGPU_PREEMPTION_MODE_COMPUTE_*
Add required parser functions to convert both the modes into each other
For linux IOCTL NVGPU_IOCTL_CHANNEL_SET_PREEMPTION_MODE, we need to convert
linux specific modes into common modes first before passing them to common code
And to pass gpu characteristics to user space we need to first convert common
modes into linux specific modes and then pass them to user space
Jira NVGPU-392
Change-Id: I8c62c6859bdc1baa5b44eb31c7020e42d2462c8c
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1596930
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GPU class ids were moved to get_litter_value API, but vgpu was not
updated to remove assigning them in HAL initialization. Remove the
duplicate assignments.
JIRA NVGPU-388
Change-Id: I65cf8f9cfcfc372c1c3b0d9239e55f19c9a02f46
Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/1596247
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