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10 commits

Author SHA1 Message Date
Thomas Gleixner d2912cb15b treewide: Replace GPLv2 boilerplate/reference with SPDX - rule 500
Based on 2 normalized pattern(s):

  this program is free software you can redistribute it and or modify
  it under the terms of the gnu general public license version 2 as
  published by the free software foundation

  this program is free software you can redistribute it and or modify
  it under the terms of the gnu general public license version 2 as
  published by the free software foundation #

extracted by the scancode license scanner the SPDX license identifier

  GPL-2.0-only

has been chosen to replace the boilerplate/reference in 4122 file(s).

Signed-off-by: Thomas Gleixner <tglx@linutronix.de>
Reviewed-by: Enrico Weigelt <info@metux.net>
Reviewed-by: Kate Stewart <kstewart@linuxfoundation.org>
Reviewed-by: Allison Randal <allison@lohutok.net>
Cc: linux-spdx@vger.kernel.org
Link: https://lkml.kernel.org/r/20190604081206.933168790@linutronix.de
Signed-off-by: Greg Kroah-Hartman <gregkh@linuxfoundation.org>
2019-06-19 17:09:55 +02:00
Thierry Reding cb2b58391e memory: tegra: Properly spell "tegra"
Rename all occurrences of "terga" to "tegra". It's an easy typo to make
and a difficult one to spot.

Reviewed-by: Dmitry Osipenko <digetx@gmail.com>
Signed-off-by: Thierry Reding <treding@nvidia.com>
2019-04-11 17:58:41 +02:00
Dmitry Osipenko 45594c683e memory: tegra: Use relaxed versions of readl/writel
There is no need for inserting of memory barriers to access registers of
Memory Controller. Hence use the relaxed versions of the accessors.

Signed-off-by: Dmitry Osipenko <digetx@gmail.com>
Acked-by: Thierry Reding <treding@nvidia.com>
Signed-off-by: Joerg Roedel <jroedel@suse.de>
2019-01-16 13:54:12 +01:00
Dmitry Osipenko 96efa118c0 memory: tegra: Adapt to Tegra20 device-tree binding changes
The tegra20-mc device-tree binding has been changed, GART has been
squashed into Memory Controller and now the clock property is mandatory
for Tegra20, the DT compatible has been changed as well. Adapt driver to
the DT changes.

Signed-off-by: Dmitry Osipenko <digetx@gmail.com>
Acked-by: Thierry Reding <treding@nvidia.com>
Signed-off-by: Joerg Roedel <jroedel@suse.de>
2019-01-16 13:54:11 +01:00
Dmitry Osipenko 20e92462cd memory: tegra: Introduce memory client hot reset
In order to reset busy HW properly, memory controller needs to be
involved, otherwise it is possible to get corrupted memory or hang machine
if HW was reset during DMA. Introduce memory client 'hot reset' that will
be used for resetting of busy HW.

Signed-off-by: Dmitry Osipenko <digetx@gmail.com>
Signed-off-by: Thierry Reding <treding@nvidia.com>
2018-04-30 10:12:21 +02:00
Dmitry Osipenko a8d502fd33 memory: tegra: Squash tegra20-mc into common tegra-mc driver
Tegra30+ has some minor differences in registers / bits layout compared
to Tegra20. Let's squash Tegra20 driver into the common tegra-mc driver
in a preparation for the upcoming MC hot reset controls implementation,
avoiding code duplication.

Note that this currently doesn't report the value of MC_GART_ERROR_REQ
because it is located within the GART register area and cannot be safely
accessed from the MC driver (this happens to work only by accident). The
proper solution is to integrate the GART driver with the MC driver, much
like is done for the Tegra SMMU, but that is an invasive change and will
be part of a separate patch series.

Signed-off-by: Dmitry Osipenko <digetx@gmail.com>
Signed-off-by: Thierry Reding <treding@nvidia.com>
2018-04-30 10:10:00 +02:00
Dmitry Osipenko 1c74d5c0de memory: tegra: Apply interrupts mask per SoC
Currently we are enabling handling of interrupts specific to Tegra124+
which happen to overlap with previous generations. Let's specify
interrupts mask per SoC generation for consistency and in a preparation
of squashing of Tegra20 driver into the common one that will enable
handling of GART faults which may be undesirable by newer generations.

Signed-off-by: Dmitry Osipenko <digetx@gmail.com>
Signed-off-by: Thierry Reding <treding@nvidia.com>
2018-04-27 11:23:04 +02:00
Thierry Reding 588c43a7bd memory: tegra: Add Tegra210 support
Add the table of memory clients and SWGROUPs for Tegra210 to enable SMMU
support for this new SoC.

Signed-off-by: Thierry Reding <treding@nvidia.com>
2015-08-13 16:07:52 +02:00
Thierry Reding 242b1d7133 memory: tegra: Add Tegra132 support
The memory controller on Tegra132 is very similar to the one found on
Tegra124. But the Denver CPUs don't have an outer cache, so dcache
maintenance is done slightly differently.

Signed-off-by: Thierry Reding <treding@nvidia.com>
2015-05-04 12:54:23 +02:00
Thierry Reding 8918465163 memory: Add NVIDIA Tegra memory controller support
The memory controller on NVIDIA Tegra exposes various knobs that can be
used to tune the behaviour of the clients attached to it.

Currently this driver sets up the latency allowance registers to the HW
defaults. Eventually an API should be exported by this driver (via a
custom API or a generic subsystem) to allow clients to register latency
requirements.

This driver also registers an IOMMU (SMMU) that's implemented by the
memory controller. It is supported on Tegra30, Tegra114 and Tegra124
currently. Tegra20 has a GART instead.

The Tegra SMMU operates on memory clients and SWGROUPs. A memory client
is a unidirectional, special-purpose DMA master. A SWGROUP represents a
set of memory clients that form a logical functional unit corresponding
to a single device. Typically a device has two clients: one client for
read transactions and one client for write transactions, but there are
also devices that have only read clients, but many of them (such as the
display controllers).

Because there is no 1:1 relationship between memory clients and devices
the driver keeps a table of memory clients and the SWGROUPs that they
belong to per SoC. Note that this is an exception and due to the fact
that the SMMU is tightly integrated with the rest of the Tegra SoC. The
use of these tables is discouraged in drivers for generic IOMMU devices
such as the ARM SMMU because the same IOMMU could be used in any number
of SoCs and keeping such tables for each SoC would not scale.

Acked-by: Joerg Roedel <jroedel@suse.de>
Signed-off-by: Thierry Reding <treding@nvidia.com>
2014-12-04 16:11:47 +01:00