similar to: [PATCH 0/3] New instmem implementation for Tegra

On 3 September 2015 at 16:42, Alexandre Courbot <acourbot at nvidia.com> wrote: > Allow clients to manually flush and invalidate L2. This will be useful > for Tegra systems for which we want to write instmem using the CPU. > > Signed-off-by: Alexandre Courbot <acourbot at nvidia.com> > --- > drm/nouveau/include/nvkm/subdev/ltc.h | 1 + >

From: Thierry Reding <treding at nvidia.com> Hi Ben, here's a revised subset of the patches I had sent out a couple of weeks ago. I've reworked the BAR2 accesses in the way that you had suggested, which at least for GP10B turned out to be fairly trivial to do. I have not looked in detail at this for GV11B yet, but a cursory look showed that BAR2 is accessed in more places, so the

From: Thierry Reding <treding at nvidia.com> Hi Ben, here's a revised subset of the patches I had sent out a couple of weeks ago. I've reworked the BAR2 accesses in the way that you had suggested, which at least for GP10B turned out to be fairly trivial to do. I have not looked in detail at this for GV11B yet, but a cursory look showed that BAR2 is accessed in more places, so the

On 3 September 2015 at 17:13, Alexandre Courbot <gnurou at gmail.com> wrote: > On Thu, Sep 3, 2015 at 4:09 PM, Ben Skeggs <skeggsb at gmail.com> wrote: >> On 3 September 2015 at 16:42, Alexandre Courbot <acourbot at nvidia.com> wrote: >>> Allow clients to manually flush and invalidate L2. This will be useful >>> for Tegra systems for which we want to

From: Thierry Reding <treding at nvidia.com> Hi, the GPU on Jetson TX2 (GP10B) does not work properly on all devices. Why exactly is not clear, but there are slight differences between the SKUs that were tested. It turns out that the biggest issue is that on some devices (e.g. the one that I have), pulsing the GPU reset twice as is done in the current code (once as part of the power-ungate

LTC operations timeout was set to 2ms, which may be too low for devices that run at very low clocks (e.g. GM20B) and trigger timeout messages. Set the timeout to the default 2s. Also remove the redundant error messages since nvkm_wait_msec() will already display a warning. Signed-off-by: Alexandre Courbot <acourbot at nvidia.com> --- drm/nouveau/nvkm/subdev/ltc/gf100.c | 8 ++------ 1

From: Thierry Reding <treding at nvidia.com> The gk20a implementation of instance memory uses vmap()/vunmap() to map memory regions into the kernel's virtual address space. These functions may sleep, so protecting them by a spin lock is not safe. This triggers a warning if the DEBUG_ATOMIC_SLEEP Kconfig option is enabled. Fix this by using a mutex instead. Signed-off-by: Thierry Reding

Although I would not have expected this to happen, we seem to run into race conditions if instobjs are accessed concurrently. Use a global lock for safety. Signed-off-by: Alexandre Courbot <acourbot at nvidia.com> --- drm/nouveau/nvkm/subdev/instmem/gk20a.c | 15 ++++++--------- 1 file changed, 6 insertions(+), 9 deletions(-) diff --git a/drm/nouveau/nvkm/subdev/instmem/gk20a.c

On 02/24/2017 01:20 AM, Thierry Reding wrote: > * PGP Signed by an unknown key > > On Mon, Jan 30, 2017 at 09:03:07PM +0100, Thierry Reding wrote: >> From: Thierry Reding <treding at nvidia.com> >> >> The gk20a implementation of instance memory uses vmap()/vunmap() to map >> memory regions into the kernel's virtual address space. These functions >>

Commit 69c4938249fb ("drm/nouveau/instmem/gk20a: use direct CPU access") tried to be smart while using the DMA-API by managing the CPU mappings of buffers allocated with the DMA-API by itself. In doing so, it relied on dma_to_phys() which is an architecture-private function not available everywhere. This broke the build on several architectures. Since there is no reliable and portable

The INA3221 is usually found on mid and high end kepler+ gpus Marins Patch implements the new iccsense subdev and all needed bits for the INA3221 power sensor. My Patch implements the hwmon power1 interface to expose the current power consumption through hwmon (and can be read out via sysfs or the sensors tool) Please test these patches for Fermi+ GPUs, that nothing gets messed up and works as

This is a complete rework from the first version I sent out. Now the implementation is more centered around the power_rails we find in the SENSE table instead of extdev centered. This makes the implementation a lot easier and straightforward. I've added support for the INA219, INA209 and INA3221 sensors found on multiple Fermi and Kepler cards. The power consumption is also exported via

This is a complete rework from the last version I sent out. Now the implementation is more centered around the power_rails we find in the SENSE table instead of extdev centered. This makes the implementation a lot easier and straightforward. I've added support for the INA219, INA209 and INA3221 sensors found on multiple Fermi and Kepler cards, but only the INA3221 bits are tested so far.

This is a complete rework from the first version I sent out. Now the implementation is more centered around the power_rails we find in the SENSE table instead of extdev centered. This makes the implementation a lot easier and straightforward. I've added support for the INA219, INA209 and INA3221 sensors found on multiple Fermi and Kepler cards. The power consumption is also exported via

This is a complete rework from the first version I sent out. Now the implementation is more centered around the power_rails we find in the SENSE table instead of extdev centered. This makes the implementation a lot easier and straightforward. I've added support for the INA219, INA209 and INA3221 sensors found on multiple Fermi and Kepler cards. The power consumption is also exported via

Signed-off by: Rosen Penev <rosenp at gmail.com> --- drm/nouveau/dispnv04/disp.h | 4 ++-- drm/nouveau/dispnv04/hw.h | 2 +- drm/nouveau/nouveau_bo.h | 2 +- drm/nouveau/nouveau_display.h | 4 ++-- drm/nouveau/nvkm/engine/dma/user.h | 2 +- drm/nouveau/nvkm/subdev/clk/pll.h | 2 +- drm/nouveau/nvkm/subdev/fb/priv.h | 2 +-

Hi, Generally the the imported buffers which has memory type TTM_PL_TT are mapped as small pages probably due to lack of big page allocation. But the platform device which also use memory type TTM_PL_TT, like GK20A, can *allocate* big page though the IOMMU hardware inside the SoC. This is a try to map the imported buffers as big pages in GMMU by the platform IOMMU. With some preparation work to

Hi, I am trying to find an efficient way of applying a linear regression model to different factor combinations in a data frame. I want to obtain the output with minimal or no use of loops if possible. Please let me know if this query is unclear. Thanks, Murtaza

On Mon, Sep 16, 2019 at 04:35:30PM +0100, Ben Dooks wrote: > On 16/09/2019 16:04, Thierry Reding wrote: > > From: Thierry Reding <treding at nvidia.com> > > > > There are extra registers that need to be programmed to make the level 2 > > cache work on GP10B, such as the stream ID register that is used when an > > SMMU is used to translate memory addresses.

On Mon, Sep 16, 2019 at 05:49:46PM +0200, Thierry Reding wrote: > On Mon, Sep 16, 2019 at 04:35:30PM +0100, Ben Dooks wrote: > > On 16/09/2019 16:04, Thierry Reding wrote: > > > From: Thierry Reding <treding at nvidia.com> > > > > > > There are extra registers that need to be programmed to make the level 2 > > > cache work on GP10B, such as the