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* Revert "Revert "Revert "Revert "gpu: nvgpu: New allocator for VA space""""Bharat Nihalani2015-06-04
| | | | | | | | | | | | | | | This reverts commit 2e5803d0f2b7d7a1577a40f45ab9f3b22ef2df80 since the issue seen with bug 200106514 is fixed with change http://git-master/r/#/c/752080/. Bug 200112195 Change-Id: I588151c2a7ea74bd89dc3fd48bb81ff2c49f5a0a Signed-off-by: Bharat Nihalani <bnihalani@nvidia.com> Reviewed-on: http://git-master/r/752503 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* Revert "Revert "Revert "gpu: nvgpu: New allocator for VA space"""Bharat Nihalani2015-06-02
| | | | | | | | | | | This reverts commit ce1cf06b9a8eb6314ba0ca294e8cb430e1e141c0 since it causes GPU pbdma interrupt to be generated. Bug 200106514 Change-Id: If3ed9a914c4e3e7f3f98c6609c6dbf57e1eb9aad Signed-off-by: Bharat Nihalani <bnihalani@nvidia.com> Reviewed-on: http://git-master/r/749291
* gpu: nvgpu: Support >32bit addresses in simulationTerje Bergstrom2015-06-01
| | | | | | | | Change-Id: I96282b4e047ba8b5369dac039f0f51856c69235b Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/747935 (cherry-picked from commit 0bb090745b4122fc4149b1bd6026138a1b9a32bc) Reviewed-on: http://git-master/r/749235
* Revert "Revert "gpu: nvgpu: New allocator for VA space""Alex Waterman2015-05-19
| | | | | | | | | | | | | | This reverts commit 7eb42bc239dbd207208ff491c3fb65c3d83274d8. The original commit was actually fine. Change-Id: I564ce6530ac73fcfad17dcec9c53f0353b4f02d4 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/743300 (cherry picked from commit e99aa2485f8992eabe3556f3ebcb57bdc8ad91ff) Reviewed-on: http://git-master/r/743301 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: wait for running jobs to finish before shutdownDeepak Nibade2015-05-18
| | | | | | | | | | | | | | | | | | | | | | | | | In gk20a_pm_shutdown(), we currently call __pm_runtime_disable() which prevents h/w access to new requests made after shutdown() call Also, once gk20a_pm_shutdown() completes, platform code will just rail gate the GPU But it is possible that some other thread is already accessing h/w while shutdown() was triggered and this can result in hang Hence, wait until all currently executing jobs are finished before returning from gk20a_pm_shutdown() Also, we need to wait for GPU's usage count to become 1 since platform code will increase the usage count and then call shutdown(). Hence usage count of 1 indicates that GPU is idle Bug 200099940 Change-Id: I1f2457829e2737c07302d13f355353a30c3b4e67 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/734920 Reviewed-by: Bharat Nihalani <bnihalani@nvidia.com> Tested-by: Bharat Nihalani <bnihalani@nvidia.com>
* Revert "gpu: nvgpu: Fix gk20a shutdown issue"Deepak Nibade2015-05-18
| | | | | | | | | | | | | | | | | | This reverts commit c18edd3686115ca0b7d8bb08b35f23264f865358. Proper fixes for shutdown issue are being added with below changes http://git-master/r/#/c/738509/ http://git-master/r/#/c/734920/ Hence revert this workaround Bug 200099940 Change-Id: I74b29c804af2bdb9d95c6b93c5308a323575ae57 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/739082 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: jump to fail path if pm_runtime_get_sync() failsDeepak Nibade2015-05-18
| | | | | | | | | | | | | | | | | | | | | | | | | | | Currently we execute pm_runtime_get_sync() and then gk20a_scale_notify_busy() without checking return value of pm_runtime_get_sync() In case of shutdown of GPU is already initiate, we get a hard hang due to this as per below sequence : - one thread invokes GPU shutdown and then forcibly rail gates the GPU - another thread (unaware of shutdown) calls gk20a_busy() - since runtime PM is disabled in shutdown path, pm_runtime_get_sync() fails - but we still go on running gk20a_scale_notify_busy() which tries to access some GPU registers and hangs Fix this by jumping to failure path in case pm_runtime_get_sync() fails Bug 200099940 Change-Id: I022f2dfa9408f640fb44e6f4b10a437688779c0a Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/738509 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Implement compbits mappingSami Kiminki2015-05-18
| | | | | | | | | | | | | | | | | | | | | | | | Implement NVGPU_AS_IOCTL_GET_BUFFER_COMPBITS_INFO for requesting info on compbits-mappable buffers; and NVGPU_AS_IOCTL_MAP_BUFFER_COMPBITS, which enables mapping compbits to the GPU address space of said buffers. This, subsequently, enables moving comptag swizzling from GPU to CDEH/CDEV formats to userspace. Compbits mapping is conservative and it may map more than what is strictly needed. This is because two reasons: 1) mapping must be done on small page alignment (4kB), and 2) GPU comptags are swizzled all around the aggregate cache line, which means that the whole cache line must be visible even if only some comptag lines are required from it. Cache line size is not necessarily a multiple of the small page size. Bug 200077571 Change-Id: I5ae88fe6b616e5ea37d3bff0dff46c07e9c9267e Signed-off-by: Sami Kiminki <skiminki@nvidia.com> Reviewed-on: http://git-master/r/719710 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Dynamic betacb sizeTerje Bergstrom2015-05-18
| | | | | | | | | | | Allow querying and setting default betacb size via debugfs. For global buffers the value takes effect upon first boot of GPU, and has no effect after that. Bug 1628352 Change-Id: Ib63f4299249c41eab1b36cc501b525cc54211195 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/733328
* gpu: nvgpu: Fix gk20a shutdown issueSumit Singh2015-05-18
| | | | | | | | | | | | | | | | | | | | | | | With CONFIG_PM_GENERIC_DOMAINS_OF enabled, device reboot was getting hung while shutting-down gk20a. It was happening because genpd_dev_pm_detach() was railgating gk20a while other thread was still accessing it. So, assigning NULL to dev->pm_domain->detach for gk20a, so that genpd_dev_pm_detach() is not called during gk20a shutdown, which will not railgate it. This patch will be reverted once we have clean shutdown for gk20a. Bug 200070810 Bug 200099940 Change-Id: Ie2e89ea01a98a9d4f2f68a3ab07b6923ffa374f6 Signed-off-by: Sumit Singh <sumsingh@nvidia.com> Reviewed-on: http://git-master/r/735455 Reviewed-by: Bharat Nihalani <bnihalani@nvidia.com> Tested-by: Bharat Nihalani <bnihalani@nvidia.com>
* gpu: nvgpu: fix deadlock on railgate_lock during race conditionDeepak Nibade2015-05-18
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | We have below race condition during __gk20a_do_idle() and force_reset case : - before execution of __gk20a_do_idle(), a process drops the last usage count of GPU, which triggers GPU railgate process - but before GPU is really railgated (there is 500 mS delay), some process calls __gk20a_do_idle() - in __gk20a_do_idle(), we first take railgate_lock - then we check if GPU is already railgated or not - since it is not railgated yet (due to 500 mS delay), this returns false - then we call pm_runtime_get_noresume() which just increases the usage counter - in this particular case, this call just increases usage count to 1 from 0, but whereas GPU is already on its way to railgate - while we check if GPU usage count drops to one, GPU gets railgated - now if we have force_reset=true case, we will end up calling pm_runtime_get_sync() which will take railgate_lock lock _again_ and try to unrailgate GPU - this causes a deadlock on railgate_lock To fix this, use below sequence : - take railgate_lock - check if GPU is already railgated - release railgate_lock - call pm_runtime_get_sync() which will keep GPU active even if railgating is already triggered - take railgate_lock again to prevent unrailgate in futher process Also, add more descriptive comments to explain the flow Bug 1624537 Change-Id: I0febc65d7bfac03ee738be200cf321322ffbe5a6 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/719625 (cherry picked from commit 480284eda16e2b50ee6368bad3d15574e098b231) Reviewed-on: http://git-master/r/719620 Reviewed-by: Sachin Nikam <snikam@nvidia.com>
* gpu: nvgpu: don't reset clk that doesn't existAlex Van Brunt2015-05-15
| | | | | | | | | | | If the clock is null, calling the reset function will crash the kernel. So, don't call the reset function. Change-Id: I37ef25c8dca67bec8bf6654eb6e275b866bdae53 Signed-off-by: Alex Van Brunt <avanbrunt@nvidia.com> Reviewed-on: http://git-master/r/742361 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit
* Revert "gpu: nvgpu: New allocator for VA space"Terje Bergstrom2015-05-12
| | | | | | | | | | | This reverts commit 2e235ac150fa4af8632c9abf0f109a10973a0bf5. Change-Id: I3aa745152124c2bc09c6c6dc5aeb1084ae7e08a4 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/741469 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Hiroshi Doyu <hdoyu@nvidia.com> Tested-by: Hiroshi Doyu <hdoyu@nvidia.com>
* gpu: nvgpu: New allocator for VA spaceAlex Waterman2015-05-11
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Implement a new buddy allocation scheme for the GPU's VA space. The bitmap allocator was using too much memory and is not a scaleable solution as the GPU's address space keeps getting bigger. The buddy allocation scheme is much more memory efficient when the majority of the address space is not allocated. The buddy allocator is not constrained by the notion of a split address space. The bitmap allocator could only manage either small pages or large pages but not both at the same time. Thus the bottom of the address space was for small pages, the top for large pages. Although, that split is not removed quite yet, the new allocator enables that to happen. The buddy allocator is also very scalable. It manages the relatively small comptag space to the enormous GPU VA space and everything in between. This is important since the GPU has lots of different sized spaces that need managing. Currently there are certain limitations. For one the allocator does not handle the fixed allocations from CUDA very well. It can do so but with certain caveats. The PTE page size is always set to small. This means the BA may place other small page allocations in the buddies around the fixed allocation. It does this to avoid having large and small page allocations in the same PDE. Change-Id: I501cd15af03611536490137331d43761c402c7f9 Signed-off-by: Alex Waterman <alexw@nvidia.com> Reviewed-on: http://git-master/r/740694 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: SMMU bypassTerje Bergstrom2015-05-05
| | | | | | | | | | | | | | | | | Improve GMMU mapping code to cope with discontiguous buffers. Add debugfs entry that allows bypassing SMMU and disabling big pages. Bug 1605769 Change-Id: I14d32c62293a16ff8c7195377c75a85fa8061083 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/717503 Reviewed-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/737533 Reviewed-by: Alexander Van Brunt <avanbrunt@nvidia.com> Tested-by: Alexander Van Brunt <avanbrunt@nvidia.com> Reviewed-by: Automatic_Commit_Validation_User
* HACK: Disable genpd_pm_subdomain_attachDan Willemsen2015-04-04
| | | | | | Upstream doesn't keep track of the DT node in the genpd struct anymore. Signed-off-by: Dan Willemsen <dwillemsen@nvidia.com>
* tegra: gpu: disable touch boost for gpuSeshendra Gadagottu2015-04-04
| | | | | | | | | | | | | | | Gpu boosting with input events is causing more gpu power consumption than required. To avoid this, touch boot for gpu is disabled by not registering gpu device for cfboost frame work. Current rail gate entry/exit latencies are fast enough to give smooth user experience. Bug 200087243 Change-Id: I18673d9c95a44ce9bee87e860b4edb29212dc766 Signed-off-by: Seshendra Gadagottu <sgadagottu@nvidia.com> Reviewed-on: http://git-master/r/721989 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: make the local function staticAmit Sharma (SW-TEGRA)2015-04-04
| | | | | | | | | | | | | | | | | | | Fixed the following sparse warnings by making below APIs static: - gk20a.c: warning: symbol 'gk20a_pm_restore_debug_setting' was not declared. Should it be static? - gr_gk20a.c: warning: symbol 'gr_gk20a_rop_l2_en_mask' was not declared. Should it be static? - gr_gm20b.c: warning: symbol 'gr_gm20b_rop_l2_en_mask' was not declared. Should it be static? Bug 200067946 Change-Id: I334893bb6614171bff835d270716a7dd262c9ba7 Signed-off-by: Amit Sharma (SW-TEGRA) <amisharma@nvidia.com> Reviewed-on: http://git-master/r/718756 Reviewed-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-by: Sachin Nikam <snikam@nvidia.com>
* gpu: nvgpu: Correct irq and elpg disable sequenceSupriya2015-04-04
| | | | | | | | | Bug 200066741 Change-Id: I873835c8aff0c53ac475090d727754ce1ccca0ee Signed-off-by: Supriya <ssharatkumar@nvidia.com> Reviewed-on: http://git-master/r/715632 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Gpu characterstics enhancementsujeet baranwal2015-04-04
| | | | | | | | | | | New members are added in nvgpu_gpu_characterstics to export more information required specially from CUDA tools. Change-Id: I907f3bcbd272405a13f47ef6236bc2cff01c6c80 Signed-off-by: Sujeet Baranwal <sbaranwal@nvidia.com> Reviewed-on: http://git-master/r/679202 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Removal of regops from CUDA driversujeet baranwal2015-04-04
| | | | | | | | | | | | | | | | The current CUDA drivers have been using the regops to directly accessing the GPU registers from user space through the dbg node. This is a security hole and needs to be avoided. The patch alternatively implements the similar functionality in the kernel and provide an ioctl for it. Bug 200083334 Change-Id: Ic5ff5a215cbabe7a46837bc4e15efcceb0df0367 Signed-off-by: sujeet baranwal <sbaranwal@nvidia.com> Reviewed-on: http://git-master/r/711758 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Add DT support for gpu power-domainSumit Singh2015-04-04
| | | | | | | | | | | | | First, defining a new structure to support gk20a power domain. Then making necessary modifications to add so as to add DT support for gpu power-domain. bug 200070810 Change-Id: I29e1c24b181e14743d3969103abfd1882d171f07 Signed-off-by: Sumit Singh <sumsingh@nvidia.com> Reviewed-on: http://git-master/r/668973 Reviewed-by: Bharat Nihalani <bnihalani@nvidia.com>
* gpu: nvgpu: add flag for CAR reset in do_idle()Deepak Nibade2015-04-04
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | Add "force_reset" flag to __gk20a_do_idle() For real world use cases like VPR resizing, we cannot wait for railgate_delay (which is 500 mS). Hence use CAR reset for this use case. (this is done via gk20a_do_idle() API with force_reset = true) Some of the test cases make use of sysfs "force_idle" and they expect GPU to be into really railgated state and not in CAR reset. Hence when called from sysfs, set force_reset = false. When global flag "force_reset_in_do_idle" is set, it will override local flags and force CAR reset case. This is desired in cases where railgating is not enabled Also, set force_reset_in_do_idle = false for GM20B since railgating has been enabled for GM20B Bug 1592997 Change-Id: I6c5af2977c7211ef82551a86a7c1eb51b8ccee60 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/711615 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Refactor page mapping codeTerje Bergstrom2015-04-04
| | | | | | | | | | | | | Pass always the directory structure to mm functions instead of pointers to members to it. Also split update_gmmu_ptes_locked() into smaller functions, and turn the hard coded MMU levels (PDE, PTE) into run-time parameters. Change-Id: I315ef7aebbea1e61156705361f2e2a63b5fb7bf1 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/672485 Reviewed-by: Automatic_Commit_Validation_User
* gpu: nvgpu: Set compression page per SoCTerje Bergstrom2015-04-04
| | | | | | | | | | | | | Compression page size varies depending on architecture. Make it 129kB on gk20a and gm20b. Also export some common functions from gm20b. Bug 1592495 Change-Id: Ifb1c5b15d25fa961dab097021080055fc385fecd Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/673790
* gpu: nvgpu: Fix/HACK for v3.18Dan Willemsen2015-03-18
| | | | Signed-off-by: Dan Willemsen <dwillemsen@nvidia.com>
* gpu: remove devm_request_and_ioremapDan Willemsen2015-03-18
| | | | Signed-off-by: Dan Willemsen <dwillemsen@nvidia.com>
* gpu: nvgpu: add error prints for do_idle() failureDeepak Nibade2015-03-18
| | | | | | | | | | | | | | Add error prints in gk20a_do_idle() to narrow down the failure point Bug 200064302 Change-Id: Iffe1151bdc200a79b88e273b3b01523f8e46d130 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/664446 (cherry picked from commit bf1cd9b5551d27cb5cc468795cd147376f48e482) Reviewed-on: http://git-master/r/666218 Reviewed-by: Sachin Nikam <snikam@nvidia.com>
* gpu: nvgpu: Remove gk20a sparse texture & PTE freeingTerje Bergstrom2015-03-18
| | | | | | | | | | | | Remove support for gk20a sparse textures. We're using implementation from user space, so gk20a code is never invoked. Also removes ref_cnt for PTEs, so we never free PTEs when unmapping pages, but only at VM delete time. Change-Id: I04d7d43d9bff23ee46fd0570ad189faece35dd14 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/663294
* gpu: nvgpu: vgpu: debugger interface fixesAingara Paramakuru2015-03-18
| | | | | | | | | | | | | | | | | To run CUDA apps, the following minimal changes have been made: - power-gating is disabled for vgpu - regop rd/wr returns -ENOSYS Tools (debugger/profiler) support is known to not work and not needed at this time. Bug 200043227 Change-Id: I923caad78450e72d310fb9290cf2849ed5460ad5 Signed-off-by: Aingara Paramakuru <aparamakuru@nvidia.com> Reviewed-on: http://git-master/r/592878 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: add gk20a_scale_exit()Konsta Holtta2015-03-18
| | | | | | | | | | | | When removing the module, remove the device from devfreq and free resources allocated when scaling is initialized. Bug 1476801 Change-Id: I7bb0f8112a5bf7e5ce2fc56cf8af7059d910002c Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/594444 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: remove platform device on exitKonsta Holtta2015-03-18
| | | | | | | | | | | | | Add ->remove() for undoing the ->probe() and ->late_probe() in gk20a_platform devices, and call it when gk20a is removed. Bug 1476801 Change-Id: Ic9b29c0a7ea4a4cae7b5a0f66774bd799eb28434 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/594443 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: clean up module deinitializationKonsta Holtta2015-03-18
| | | | | | | | | | | | | | | | | | | | | | | | | | | | Fix gk20a module removal so that the driver can be correctly removed when built as a module (CONFIG_GK20A=m). Reinsertion correctly will need more missing deinit calls, which are not yet implemented. This change has no effect yet on any builds since the module is built in by the defconfig. - don't free threaded irqs that are bound to the device - destroy cde if it is enabled - remove all debugfs entries recursively generated directly and by cde, pmu, clk etc. - free secure buffer if it exists - remove pm_runtime_put, since it doesn't have a pairing get - pm_runtime defines proper function stubs if it is not enabled, so remove ifdefs and query pm_runtime_enabled() - null and free gk20a only after all deinit has been done Bug 1476801 Change-Id: I73ad72832bdb501fd7071d6ac68d461ee63a760d Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/594442 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Retrieve intr & reset id from HWTerje Bergstrom2015-03-18
| | | | | | | | | | | | Query interrupt number and reset id from HW. Use the number from HW when enabling and detecting interrupts. Bug 200036089 Bug 1567274 Change-Id: If9cb4db79a19dcb193ba7ad9db7081f4fe1ab433 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/600988
* gpu: nvgpu: GPU characteristics additionsSami Kiminki2015-03-18
| | | | | | | | | | | | | | | | | Add the following info into GPU characteristics: available big page sizes, support indicators for sync fence fds and cycle stats, gpc mask, SM version, SM SPA version and warp count, and IOCTL interface levels. Also, add new IOCTL to fetch TPC masks. Bug 1551769 Bug 1558186 Change-Id: I8a47d882645f29c7bf0c8f74334ebf47240e41de Signed-off-by: Sami Kiminki <skiminki@nvidia.com> Reviewed-on: http://git-master/r/562904 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: force CAR reset in do_idle() for gm20bDeepak Nibade2015-03-18
| | | | | | | | | | | | | | | | | | | | | | In gk20a_do_idle(), we wait for platform->railgate_delay to allow GPU to go into rail gate But sometimes we set platform->railgate_delay = INT_MAX to disable GPU rail gating but allow it to suspend during low power state Due to this, force_idle API fails (it waits for INT_MAX) To fix this, allow forcing CAR reset instead of rail gating with flag "force_reset_in_do_idle" defined in gk20a_platform Set this flag for gm20b until we fix the railgate_delay Bug 1517584 Change-Id: I031aa56f87d4db3727e2c3a3e5eeaf18503dd449 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/593704 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Do not call ELPG if disabledTerje Bergstrom2015-03-18
| | | | | | | | | | | | | Do not call PMU ELPG calls if ELPG should be disabled. Also skips initialization of PMU ucode if PMU is disabled. Bug 1567274 Change-Id: Ia9cd3b553c358142ee05a1b0e0832f9412f7cf17 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/593335 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Seshendra Gadagottu <sgadagottu@nvidia.com>
* gpu: nvgpu: fix sparse warningsDeepak Nibade2015-03-18
| | | | | | | | | | | | | | | | | | | Fix below sparse warnings : warning: Using plain integer as NULL pointer warning: symbol <variable/funcion> was not declared. Should it be static? warning: Initializer entry defined twice Also, remove dead functions Bug 1573254 Change-Id: I29d71ecc01c841233cf6b26c9088ca8874773469 Signed-off-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-on: http://git-master/r/593363 Reviewed-by: Amit Sharma (SW-TEGRA) <amisharma@nvidia.com> Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Sachin Nikam <snikam@nvidia.com>
* gpu: nvgpu: cde: cancel delayed_work during suspendSeshendra Gadagottu2015-03-18
| | | | | | | | | | | | | | | | | During gpu suspend, cancel all pending delayed cde work to avoid issues of scheduling this delayed work during suspend/resume when gpu is not ready. Bug 1574000 Change-Id: I2b6bfa489435a781dc576a077f9af01b1e1628ce Signed-off-by: Seshendra Gadagottu <sgadagottu@nvidia.com> Reviewed-on: http://git-master/r/593557 Reviewed-by: Shridhar Rasal <srasal@nvidia.com> Reviewed-by: Deepak Nibade <dnibade@nvidia.com> Reviewed-by: Prashant Gaikwad <pgaikwad@nvidia.com> Tested-by: Prashant Gaikwad <pgaikwad@nvidia.com> Reviewed-by: Bharat Nihalani <bnihalani@nvidia.com>
* gpu: nvgpu: fix reset clock in gm20bDeepak Nibade2015-03-18
| | | | | | | | | | | | | | | | | | | | | | | | To assert reset on GPU, we store "gpu_ref" clock in platform->clk[0] and use it to assert/deassert reset But for gm20b, "gpu_ref" is no longer resettable. To fix this, add two callbacks in gk20a_platform : .reset_assert and .reset_deassert Also, add a pointer "clk_reset" to store the clock which needs to be reset For gk20a specific implementation, we continue to reset platform->clk[0] For gm20b specific implementation, we first request "gpu_gate" clock, store it and use it to assert reset Bug 1513685 Bug 1517584 Change-Id: I15a583a4a07eb663b442084be8b8c7d0c7c7a142 Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
* gpu: nvgpu: Assign T18x an own platform dataTerje Bergstrom2015-03-18
| | | | | | | | | | Bug 1572701 Change-Id: Id135eb2328765d00349b478d695914f7f8c5edf0 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/592095 Reviewed-by: Automatic_Commit_Validation_User GVS: Gerrit_Virtual_Submit
* gpu: nvgpu: T18x supportKenneth Adams2015-03-18
| | | | | | | | | | nvgpu framework and build for T18x Bug 1567274 Change-Id: I77835302a1110573008869d1106eface512bb9b1 Signed-off-by: Ken Adams <kadams@nvidia.com> Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Per-chip interrupt processingTerje Bergstrom2015-03-18
| | | | | | | | | | | | | Move accesses to MC registers under HAL so that they can be reimplemented per chip. Do chip detection and HAL initialization only once. Bug 1567274 Change-Id: I20bf2f439d267d284bfd536f1a1dfb5d5a2dce4c Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/590385
* Revert "gpu: nvgpu: GR and LTC HAL to use const structs"Sam Payne2015-03-18
| | | | | | | | | | | This reverts commit 41b82e97164138f45fbdaef6ab6939d82ca9419e. Change-Id: Iabd01fcb124e0d22cd9be62151a6552cbb27fc94 Signed-off-by: Sam Payne <spayne@nvidia.com> Reviewed-on: http://git-master/r/592221 Tested-by: Hoang Pham <hopham@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Mitch Luban <mluban@nvidia.com>
* gpu: nvgpu: cde: move GK20A_CDE to platform dataKonsta Holtta2015-03-18
| | | | | | | | | | | | | | | | | CONFIG_GK20A_CDE has not even been used for enabling CDE, just for initializing it at boot time, and it was disabled; initialization has been done late when the engine is first used. Remove the config setting and add information about CDE support in gk20a platform data, forcing the initialization at boot time. Boot time init removes rare race conditions when CDE would be initialized by first user. Bug 200046882 Change-Id: I85d5fb73dc27acbbe203138d25f6e342de030d93 Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/562855 Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com> Tested-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: GR and LTC HAL to use const structsTerje Bergstrom2015-03-18
| | | | | | | | | | | Convert GR and LTC HALs to use const structs, and initialize them with macros. Bug 1567274 Change-Id: Ia3f24a5eccb27578d9cba69755f636818d11275c Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/590371
* gpu: nvgpu: Enable clocks only if definedTerje Bergstrom2015-03-18
| | | | | | | | | | Enable clocks only if they are defined. This prevents panic in cases where clock does not need to be enabled explicitly. Bug 1567274 Change-Id: I7113c6d874b61acc2646effda9c02d3d1817c531 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com>
* gpu: nvgpu: Fix build without Tegra clk frameworkTerje Bergstrom2015-03-18
| | | | | | | | | | | | Do not build clock code if TEGRA_CLK_FRAMEWORK is not defined. Also make GK20A_DEVFREQ depend on TEGRA_CLK_FRAMEWORK, and build scaling governor only if GK20A_DEVFREQ is enabled. Bug 1567274 Change-Id: I6ea1462e7a110fb46c9d66ceda71167cff19699e Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/562475
* gpu: nvgpu: Fix build break with no PM runtimeTerje Bergstrom2015-03-18
| | | | | | | | | | Bug 1567274 Change-Id: I6ca10e329a46edf859f5b22f18d0da9bc8f41cd6 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: http://git-master/r/562474 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Konsta Holtta <kholtta@nvidia.com>
* gpu: nvgpu: Remove get and put client routinesKonsta Holtta2015-03-18
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | gk20a_get_client() and gk20a_put_client() routines are effectively dead code. The GPU has been using pm_runtime for reference counting whether the device should be turned on or off, and gk20a_get_client() and gk20a_put_client() have had no positive effect on the behaviour. In worst case these functions trigger some issues as they may trigger code paths that should not be run. There is also a race between get/put and busy/idle. This patch removes the functions and reworks as_gk20a.c to correctly use gk20a_busy()/gk20a_idle() where put/get was required. Additionally, finalize_poweron() is moved to gk20a_busy(), similarly as it was with gk20a_get_client(). If pm_runtime is not in use, the device is only powered on and never off. Currently this affects vgpu power management since it does not use pm_runtime yet. Bug 1562096 Change-Id: I3162655f83457e9caccd9264eed36b5d51e60c52 Signed-off-by: Arto Merilainen <amerilainen@nvidia.com> Signed-off-by: Konsta Holtta <kholtta@nvidia.com> Reviewed-on: http://git-master/r/414998 Reviewed-by: Automatic_Commit_Validation_User Reviewed-by: Seshendra Gadagottu <sgadagottu@nvidia.com> Tested-by: Seshendra Gadagottu <sgadagottu@nvidia.com> GVS: Gerrit_Virtual_Submit Reviewed-by: Terje Bergstrom <tbergstrom@nvidia.com>
generated by cgit v1.2.2 (git 2.25.0) at 2024-08-27 15:25:12 -0400