Commit Graph

7 Commits

Author SHA1 Message Date
Varun Wadekar 6cf8d65f27 cpus: denver: Implement static workaround for CVE-2018-3639
For Denver CPUs, this approach enables the mitigation during EL3
initialization, following every PE reset. No mechanism is provided to
disable the mitigation at runtime.

This approach permanently mitigates the EL3 software stack only. Other
software components are responsible to enable it for their exception
levels.

TF-A implements this approach for the Denver CPUs with DENVER_MIDR_PN3
and earlier:

*   By setting bit 11 (Disable speculative store buffering) of
    `ACTLR_EL3`

*   By setting bit 9 (Disable speculative memory disambiguation) of
    `ACTLR_EL3`

TF-A implements this approach for the Denver CPUs with DENVER_MIDR_PN4
and later:

*   By setting bit 18 (Disable speculative store buffering) of
    `ACTLR_EL3`

*   By setting bit 17 (Disable speculative memory disambiguation) of
    `ACTLR_EL3`

Change-Id: If1de96605ce3f7b0aff5fab2c828e5aecb687555
Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
2018-09-04 17:34:08 -07:00
Varun Wadekar cf3ed0dcc7 cpus: denver: reset power state to 'C1' on boot
Denver CPUs expect the power state field to be reset to 'C1'
during boot. This patch updates the reset handler to reset the
ACTLR_.PMSTATE field to 'C1' state during CPU boot.

Change-Id: I7cb629627a4dd1a30ec5cbb3a5e90055244fe30c
Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
2018-09-04 17:33:56 -07:00
Varun Wadekar 030567e6f5 include: add U()/ULL() macros for constants
This patch uses the U() and ULL() macros for constants, to fix some
of the signed-ness defects flagged by the MISRA scanner.

Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
2017-06-14 17:00:30 -07:00
dp-arm 82cb2c1ad9 Use SPDX license identifiers
To make software license auditing simpler, use SPDX[0] license
identifiers instead of duplicating the license text in every file.

NOTE: Files that have been imported by FreeBSD have not been modified.

[0]: https://spdx.org/

Change-Id: I80a00e1f641b8cc075ca5a95b10607ed9ed8761a
Signed-off-by: dp-arm <dimitris.papastamos@arm.com>
2017-05-03 09:39:28 +01:00
Varun Wadekar 9f1c5dd19b cpus: denver: disable DCO operations from platform code
This patch moves the code to disable DCO operations out from common
CPU files. This allows the platform code to call thsi API as and
when required. There are certain CPU power down states which require
the DCO to be kept ON and platforms can decide selectively now.

Change-Id: Icb946fe2545a7d8c5903c420d1ee169c4921a2d1
Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
2017-02-23 10:50:31 -08:00
Varun Wadekar e956e228d4 cpus: Add support for all Denver variants
This patch adds support for all variants of the Denver CPUs. The
variants export their cpu_ops to allow all Denver platforms to run
the Trusted Firmware stack.

Change-Id: I1488813ddfd506ffe363d8a32cda1b575e437035
Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
2017-02-22 09:16:34 -08:00
Varun Wadekar 3a8c55f600 Add "Project Denver" CPU support
Denver is NVIDIA's own custom-designed, 64-bit, dual-core CPU which is
fully ARMv8 architecture compatible.  Each of the two Denver cores
implements a 7-way superscalar microarchitecture (up to 7 concurrent
micro-ops can be executed per clock), and includes a 128KB 4-way L1
instruction cache, a 64KB 4-way L1 data cache, and a 2MB 16-way L2
cache, which services both cores.

Denver implements an innovative process called Dynamic Code Optimization,
which optimizes frequently used software routines at runtime into dense,
highly tuned microcode-equivalent routines. These are stored in a
dedicated, 128MB main-memory-based optimization cache. After being read
into the instruction cache, the optimized micro-ops are executed,
re-fetched and executed from the instruction cache as long as needed and
capacity allows.

Effectively, this reduces the need to re-optimize the software routines.
Instead of using hardware to extract the instruction-level parallelism
(ILP) inherent in the code, Denver extracts the ILP once via software
techniques, and then executes those routines repeatedly, thus amortizing
the cost of ILP extraction over the many execution instances.

Denver also features new low latency power-state transitions, in addition
to extensive power-gating and dynamic voltage and clock scaling based on
workloads.

Signed-off-by: Varun Wadekar <vwadekar@nvidia.com>
2015-07-24 09:08:27 +05:30