| |
| Situation: |
| ---------- |
| |
| Under certain circumstances a SoC can reach a critical temperature |
| limit and is unable to stabilize the temperature around a temperature |
| control. When the SoC has to stabilize the temperature, the kernel can |
| act on a cooling device to mitigate the dissipated power. When the |
| critical temperature is reached, a decision must be taken to reduce |
| the temperature, that, in turn impacts performance. |
| |
| Another situation is when the silicon temperature continues to |
| increase even after the dynamic leakage is reduced to its minimum by |
| clock gating the component. This runaway phenomenon can continue due |
| to the static leakage. The only solution is to power down the |
| component, thus dropping the dynamic and static leakage that will |
| allow the component to cool down. |
| |
| Last but not least, the system can ask for a specific power budget but |
| because of the OPP density, we can only choose an OPP with a power |
| budget lower than the requested one and under-utilize the CPU, thus |
| losing performance. In other words, one OPP under-utilizes the CPU |
| with a power less than the requested power budget and the next OPP |
| exceeds the power budget. An intermediate OPP could have been used if |
| it were present. |
| |
| Solutions: |
| ---------- |
| |
| If we can remove the static and the dynamic leakage for a specific |
| duration in a controlled period, the SoC temperature will |
| decrease. Acting on the idle state duration or the idle cycle |
| injection period, we can mitigate the temperature by modulating the |
| power budget. |
| |
| The Operating Performance Point (OPP) density has a great influence on |
| the control precision of cpufreq, however different vendors have a |
| plethora of OPP density, and some have large power gap between OPPs, |
| that will result in loss of performance during thermal control and |
| loss of power in other scenarios. |
| |
| At a specific OPP, we can assume that injecting idle cycle on all CPUs |
| belong to the same cluster, with a duration greater than the cluster |
| idle state target residency, we lead to dropping the static and the |
| dynamic leakage for this period (modulo the energy needed to enter |
| this state). So the sustainable power with idle cycles has a linear |
| relation with the OPP’s sustainable power and can be computed with a |
| coefficient similar to: |
| |
| Power(IdleCycle) = Coef x Power(OPP) |
| |
| Idle Injection: |
| --------------- |
| |
| The base concept of the idle injection is to force the CPU to go to an |
| idle state for a specified time each control cycle, it provides |
| another way to control CPU power and heat in addition to |
| cpufreq. Ideally, if all CPUs belonging to the same cluster, inject |
| their idle cycles synchronously, the cluster can reach its power down |
| state with a minimum power consumption and reduce the static leakage |
| to almost zero. However, these idle cycles injection will add extra |
| latencies as the CPUs will have to wakeup from a deep sleep state. |
| |
| We use a fixed duration of idle injection that gives an acceptable |
| performance penalty and a fixed latency. Mitigation can be increased |
| or decreased by modulating the duty cycle of the idle injection. |
| |
| :: |
| |
| ^ |
| | |
| | |
| |------- ------- |
| |_______|_______________________|_______|___________ |
| |
| <------> |
| idle <----------------------> |
| running |
| |
| <-----------------------------> |
| duty cycle 25% |
| |
| |
| The implementation of the cooling device bases the number of states on |
| the duty cycle percentage. When no mitigation is happening the cooling |
| device state is zero, meaning the duty cycle is 0%. |
| |
| When the mitigation begins, depending on the governor's policy, a |
| starting state is selected. With a fixed idle duration and the duty |
| cycle (aka the cooling device state), the running duration can be |
| computed. |
| |
| The governor will change the cooling device state thus the duty cycle |
| and this variation will modulate the cooling effect. |
| |
| :: |
| |
| ^ |
| | |
| | |
| |------- ------- |
| |_______|_______________|_______|___________ |
| |
| <------> |
| idle <--------------> |
| running |
| |
| <-----------------------------> |
| duty cycle 33% |
| |
| |
| ^ |
| | |
| | |
| |------- ------- |
| |_______|_______|_______|___________ |
| |
| <------> |
| idle <------> |
| running |
| |
| <-------------> |
| duty cycle 50% |
| |
| The idle injection duration value must comply with the constraints: |
| |
| - It is less than or equal to the latency we tolerate when the |
| mitigation begins. It is platform dependent and will depend on the |
| user experience, reactivity vs performance trade off we want. This |
| value should be specified. |
| |
| - It is greater than the idle state’s target residency we want to go |
| for thermal mitigation, otherwise we end up consuming more energy. |
| |
| Power considerations |
| -------------------- |
| |
| When we reach the thermal trip point, we have to sustain a specified |
| power for a specific temperature but at this time we consume: |
| |
| Power = Capacitance x Voltage^2 x Frequency x Utilisation |
| |
| ... which is more than the sustainable power (or there is something |
| wrong in the system setup). The ‘Capacitance’ and ‘Utilisation’ are a |
| fixed value, ‘Voltage’ and the ‘Frequency’ are fixed artificially |
| because we don’t want to change the OPP. We can group the |
| ‘Capacitance’ and the ‘Utilisation’ into a single term which is the |
| ‘Dynamic Power Coefficient (Cdyn)’ Simplifying the above, we have: |
| |
| Pdyn = Cdyn x Voltage^2 x Frequency |
| |
| The power allocator governor will ask us somehow to reduce our power |
| in order to target the sustainable power defined in the device |
| tree. So with the idle injection mechanism, we want an average power |
| (Ptarget) resulting in an amount of time running at full power on a |
| specific OPP and idle another amount of time. That could be put in a |
| equation: |
| |
| P(opp)target = ((Trunning x (P(opp)running) + (Tidle x P(opp)idle)) / |
| (Trunning + Tidle) |
| |
| ... |
| |
| Tidle = Trunning x ((P(opp)running / P(opp)target) - 1) |
| |
| At this point if we know the running period for the CPU, that gives us |
| the idle injection we need. Alternatively if we have the idle |
| injection duration, we can compute the running duration with: |
| |
| Trunning = Tidle / ((P(opp)running / P(opp)target) - 1) |
| |
| Practically, if the running power is less than the targeted power, we |
| end up with a negative time value, so obviously the equation usage is |
| bound to a power reduction, hence a higher OPP is needed to have the |
| running power greater than the targeted power. |
| |
| However, in this demonstration we ignore three aspects: |
| |
| * The static leakage is not defined here, we can introduce it in the |
| equation but assuming it will be zero most of the time as it is |
| difficult to get the values from the SoC vendors |
| |
| * The idle state wake up latency (or entry + exit latency) is not |
| taken into account, it must be added in the equation in order to |
| rigorously compute the idle injection |
| |
| * The injected idle duration must be greater than the idle state |
| target residency, otherwise we end up consuming more energy and |
| potentially invert the mitigation effect |
| |
| So the final equation is: |
| |
| Trunning = (Tidle - Twakeup ) x |
| (((P(opp)dyn + P(opp)static ) - P(opp)target) / P(opp)target ) |