From 78004e9a87f240df03e2f73120d291763c32e0a7 Mon Sep 17 00:00:00 2001 From: Ali Ahmet Memis Date: Fri, 21 Aug 2026 01:45:27 +0000 Subject: openrisc: fix arbitrary kernel memory access via or1k_atomic syscall sys_or1k_atomic() (syscall 244 in the "or1k" ABI) takes two user pointers, v1 and v2, and swaps the words they point to in hand-written assembly. l.lwz r29,0(r4) l.lwz r27,0(r5) l.sw 0(r4),r27 l.sw 0(r5),r29 The pointers are not checked with access_ok(). The four memory accesses also have no exception table entries. A caller passes a kernel address as either pointer, and the syscall reads from and writes to it directly. This gives an unprivileged process a kernel read/write primitive. It overwrites kernel data such as the sys_call_table, gaining code execution in kernel context. Check both pointers before entering the critical section. Add fixups for the four memory accesses so faults on valid but unmapped user addresses return -EFAULT. [shorne@gmail.com: fix comment style] Fixes: 9d02a4283e9c ("OpenRISC: Boot code") Cc: stable@vger.kernel.org Signed-off-by: Ali Ahmet Memis Signed-off-by: Stafford Horne --- .../driver-api/thermal/cpu-cooling-api.rst | 107 +++++++++++++++++++++ 1 file changed, 107 insertions(+) create mode 100644 Documentation/driver-api/thermal/cpu-cooling-api.rst (limited to 'Documentation/driver-api/thermal/cpu-cooling-api.rst') diff --git a/Documentation/driver-api/thermal/cpu-cooling-api.rst b/Documentation/driver-api/thermal/cpu-cooling-api.rst new file mode 100644 index 000000000..645d914c4 --- /dev/null +++ b/Documentation/driver-api/thermal/cpu-cooling-api.rst @@ -0,0 +1,107 @@ +======================= +CPU cooling APIs How To +======================= + +Written by Amit Daniel Kachhap + +Updated: 6 Jan 2015 + +Copyright (c) 2012 Samsung Electronics Co., Ltd(http://www.samsung.com) + +0. Introduction +=============== + +The generic cpu cooling(freq clipping) provides registration/unregistration APIs +to the caller. The binding of the cooling devices to the trip point is left for +the user. The registration APIs returns the cooling device pointer. + +1. cpu cooling APIs +=================== + +1.1 cpufreq registration/unregistration APIs +-------------------------------------------- + + :: + + struct thermal_cooling_device + *cpufreq_cooling_register(struct cpumask *clip_cpus) + + This interface function registers the cpufreq cooling device with the name + "thermal-cpufreq-%x". This api can support multiple instances of cpufreq + cooling devices. + + clip_cpus: + cpumask of cpus where the frequency constraints will happen. + + :: + + struct thermal_cooling_device + *of_cpufreq_cooling_register(struct cpufreq_policy *policy) + + This interface function registers the cpufreq cooling device with + the name "thermal-cpufreq-%x" linking it with a device tree node, in + order to bind it via the thermal DT code. This api can support multiple + instances of cpufreq cooling devices. + + policy: + CPUFreq policy. + + + :: + + void cpufreq_cooling_unregister(struct thermal_cooling_device *cdev) + + This interface function unregisters the "thermal-cpufreq-%x" cooling device. + + cdev: Cooling device pointer which has to be unregistered. + +2. Power models +=============== + +The power API registration functions provide a simple power model for +CPUs. The current power is calculated as dynamic power (static power isn't +supported currently). This power model requires that the operating-points of +the CPUs are registered using the kernel's opp library and the +`cpufreq_frequency_table` is assigned to the `struct device` of the +cpu. If you are using CONFIG_CPUFREQ_DT then the +`cpufreq_frequency_table` should already be assigned to the cpu +device. + +The dynamic power consumption of a processor depends on many factors. +For a given processor implementation the primary factors are: + +- The time the processor spends running, consuming dynamic power, as + compared to the time in idle states where dynamic consumption is + negligible. Herein we refer to this as 'utilisation'. +- The voltage and frequency levels as a result of DVFS. The DVFS + level is a dominant factor governing power consumption. +- In running time the 'execution' behaviour (instruction types, memory + access patterns and so forth) causes, in most cases, a second order + variation. In pathological cases this variation can be significant, + but typically it is of a much lesser impact than the factors above. + +A high level dynamic power consumption model may then be represented as:: + + Pdyn = f(run) * Voltage^2 * Frequency * Utilisation + +f(run) here represents the described execution behaviour and its +result has a units of Watts/Hz/Volt^2 (this often expressed in +mW/MHz/uVolt^2) + +The detailed behaviour for f(run) could be modelled on-line. However, +in practice, such an on-line model has dependencies on a number of +implementation specific processor support and characterisation +factors. Therefore, in initial implementation that contribution is +represented as a constant coefficient. This is a simplification +consistent with the relative contribution to overall power variation. + +In this simplified representation our model becomes:: + + Pdyn = Capacitance * Voltage^2 * Frequency * Utilisation + +Where `capacitance` is a constant that represents an indicative +running time dynamic power coefficient in fundamental units of +mW/MHz/uVolt^2. Typical values for mobile CPUs might lie in range +from 100 to 500. For reference, the approximate values for the SoC in +ARM's Juno Development Platform are 530 for the Cortex-A57 cluster and +140 for the Cortex-A53 cluster. -- cgit v1.3.1