8.2.PSCI Performance Measurements on Arm Juno Development Platform
This document summarises the findings of performance measurements of keyoperations in the Trusted Firmware-A Power State Coordination Interface (PSCI)implementation, using the in-built Performance Measurement Framework (PMF) andruntime instrumentation timestamps.
8.2.1.Method
We used theJuno R1 platform for these tests, which has 4 x Cortex-A53 and 2x Cortex-A57 clusters running at the following frequencies:
Domain | Frequency (MHz) |
---|---|
Cortex-A57 | 900 (nominal) |
Cortex-A53 | 650 (underdrive) |
AXI subsystem | 533 |
Juno supports CPU, cluster and system power down states, corresponding to powerlevels 0, 1 and 2 respectively. It does not support any retention states.
Given that runtime instrumentation using PMF is invasive, there is a small(unquantified) overhead on the results. PMF uses the generic counter fortimestamps, which runs at 50MHz on Juno.
The following source trees and binaries were used:
Please see the Runtime InstrumentationTesting Methodologypage for more details. The tests were ran using thetf-psci-lava-instr/juno-enable-runtime-instr,juno-instrumentation:juno-tftfconfiguration in CI.
8.2.2.Results
8.2.2.1.CPU_SUSPEND
to deepest power level
Cluster | Core | Powerdown | Wakeup | Cache Flush |
0 | 0 | 333.0 (-52.92%) | 23.92 (-40.11%) | 138.88 |
0 | 1 | 630.9 (+145.95%) | 253.72 (-46.56%) | 136.94 (+1987.50%) |
1 | 0 | 184.74 (+71.92%) | 23.16 (-95.39%) | 80.24 (+1283.45%) |
1 | 1 | 481.14 | 18.56 (-88.25%) | 76.5 (+1520.76%) |
1 | 2 | 933.88 (+67.76%) | 289.58 (+189.64%) | 76.34 (+1510.55%) |
1 | 3 | 1112.48 | 238.42 (+753.94%) | 76.38 |
Cluster | Core | Powerdown | Wakeup | Cache Flush |
0 | 0 | 244.52 (-65.43%) | 26.92 (-32.60%) | 5.54 (-96.70%) |
0 | 1 | 526.18 (+105.12%) | 416.1 | 138.52 (+2011.59%) |
1 | 0 | 104.34 | 27.02 (-94.62%) | 5.32 |
1 | 1 | 384.98 | 23.06 (-85.40%) | 4.48 |
1 | 2 | 812.44 (+45.94%) | 126.78 | 4.54 |
1 | 3 | 986.84 | 77.22 (+176.58%) | 79.76 |
Cluster | Core | Powerdown | Wakeup | Cache Flush |
0 | 0 | 244.08 | 24.48 (-40.00%) | 137.64 |
0 | 1 | 244.2 | 23.84 (-41.57%) | 137.86 |
1 | 0 | 294.78 | 23.54 | 76.62 |
1 | 1 | 180.1 (+74.72%) | 21.14 | 77.12 (+1533.90%) |
1 | 2 | 180.54 (+75.25%) | 20.8 | 76.76 (+1554.31%) |
1 | 3 | 180.6 (+75.44%) | 21.2 | 76.86 (+1542.31%) |
Cluster | Core | Powerdown | Wakeup | Cache Flush |
0 | 0 | 236.36 | 27.94 (-31.52%) | 138.0 |
0 | 1 | 236.58 | 27.86 (-31.72%) | 138.2 |
1 | 0 | 280.68 | 27.02 | 77.6 |
1 | 1 | 101.4 | 22.52 | 4.42 |
1 | 2 | 100.92 | 22.68 | 4.4 |
1 | 3 | 100.96 | 22.54 | 4.38 |
8.2.2.2.CPU_SUSPEND
to power level 0
Cluster | Core | Powerdown | Wakeup | Cache Flush |
0 | 0 | 703.06 | 16.86 (-47.87%) | 7.98 |
0 | 1 | 851.88 | 16.4 (-49.41%) | 8.04 |
1 | 0 | 407.4 (+58.99%) | 15.1 (-26.20%) | 7.2 |
1 | 1 | 110.98 (-72.67%) | 15.46 | 6.56 |
1 | 2 | 554.54 | 15.4 | 6.94 |
1 | 3 | 258.96 (+143.06%) | 15.56 (-25.05%) | 6.64 |
test_rt_instr_cpu_susp_parallel | ||||
Cluster | Core | Powerdown | Wakeup | Cache Flush |
0 | 0 | 663.12 | 19.66 (-39.21%) | 8.26 |
0 | 1 | 804.18 | 19.24 (-40.65%) | 8.1 |
1 | 0 | 105.58 (-58.80%) | 19.68 | 7.42 |
1 | 1 | 245.02 (-39.67%) | 19.8 | 6.82 |
1 | 2 | 383.82 (-30.83%) | 18.84 | 7.06 |
1 | 3 | 523.36 (+391.23%) | 19.0 | 7.3 |
Cluster | Core | Powerdown | Wakeup | Cache Flush |
0 | 0 | 106.12 | 17.1 (-48.24%) | 5.26 |
0 | 1 | 106.88 | 17.06 (-47.08%) | 5.28 |
1 | 0 | 294.36 | 15.6 | 4.56 |
1 | 1 | 103.26 | 15.44 | 4.46 |
1 | 2 | 103.7 | 15.26 | 4.5 |
1 | 3 | 103.68 | 15.72 | 4.5 |
Cluster | Core | Powerdown | Wakeup | Cache Flush |
0 | 0 | 100.04 | 20.32 (-38.50%) | 5.62 |
0 | 1 | 99.78 | 20.6 (-36.10%) | 5.42 |
1 | 0 | 278.28 | 19.52 | 4.32 |
1 | 1 | 97.3 | 19.44 | 4.26 |
1 | 2 | 97.56 | 19.52 | 4.32 |
1 | 3 | 97.52 | 19.46 | 4.26 |
8.2.2.3.CPU_OFF
on all non-lead CPUs
CPU_OFF
on all non-lead CPUs in sequence then,CPU_SUSPEND
on the leadcore to the deepest power level.
Cluster | Core | Powerdown | Wakeup | Cache Flush |
0 | 0 | 243.02 | 26.42 (-39.51%) | 137.58 |
0 | 1 | 244.24 | 26.32 (-38.93%) | 137.88 |
1 | 0 | 182.36 | 23.66 | 78.0 |
1 | 1 | 108.18 | 22.68 | 4.42 |
1 | 2 | 108.34 | 21.72 | 4.24 |
1 | 3 | 108.22 | 21.68 | 4.34 |
Cluster | Core | Powerdown | Wakeup | Cache Flush |
0 | 0 | 236.3 | 30.88 (-29.30%) | 137.76 |
0 | 1 | 236.66 | 30.5 (-29.23%) | 138.02 |
1 | 0 | 175.9 | 27.0 | 77.86 |
1 | 1 | 100.96 | 27.56 | 4.26 |
1 | 2 | 101.04 | 26.48 | 4.38 |
1 | 3 | 101.08 | 26.74 | 4.4 |
8.2.2.4.CPU_VERSION
in parallel
Cluster | Core | Latency |
0 | 0 | 1.0 |
0 | 1 | 1.06 |
1 | 0 | 0.6 |
1 | 1 | 1.0 |
1 | 2 | 0.98 |
1 | 3 | 1.0 |
Cluster | Core | Latency |
0 | 0 | 1.0 |
0 | 1 | 1.02 |
1 | 0 | 0.52 |
1 | 1 | 0.94 |
1 | 2 | 0.94 |
1 | 3 | 0.92 |
8.2.3.Annotated Historic Results
The following results are based on the upstreamTF master as of 31/01/2017.TF-A was built using the same build instructions as detailed in the procedureabove.
In the results below, CPUs 0-3 refer to CPUs in the little cluster (A53) andCPUs 4-5 refer to CPUs in the big cluster (A57). In all cases CPU 4 is the leadCPU.
PSCI_ENTRY
corresponds to the powerdown latency,PSCI_EXIT
the wakeup latency, andCFLUSH_OVERHEAD
the latency of the cache flush operation.
8.2.3.1.CPU_SUSPEND
to deepest power level on all CPUs in parallel
CPU |
|
|
|
---|---|---|---|
0 | 27 | 20 | 5 |
1 | 114 | 86 | 5 |
2 | 202 | 58 | 5 |
3 | 375 | 29 | 94 |
4 | 20 | 22 | 6 |
5 | 290 | 18 | 206 |
A large variance inPSCI_ENTRY
andPSCI_EXIT
times across CPUs isobserved due to TF PSCI lock contention. In the worst case, CPU 3 has to waitfor the 3 other CPUs in the cluster (0-2) to completePSCI_ENTRY
and releasethe lock before proceeding.
TheCFLUSH_OVERHEAD
times for CPUs 3 and 5 are higher because they are thelast CPUs in their respective clusters to power down, therefore both the L1 andL2 caches are flushed.
TheCFLUSH_OVERHEAD
time for CPU 5 is a lot larger than that for CPU 3because the L2 cache size for the big cluster is lot larger (2MB) compared tothe little cluster (1MB).
8.2.3.2.CPU_SUSPEND
to power level 0 on all CPUs in parallel
CPU |
|
|
|
---|---|---|---|
0 | 116 | 14 | 8 |
1 | 204 | 14 | 8 |
2 | 287 | 13 | 8 |
3 | 376 | 13 | 9 |
4 | 29 | 15 | 7 |
5 | 21 | 15 | 8 |
There is no lock contention in TF generic code at power level 0 but the largevariance inPSCI_ENTRY
times across CPUs is due to lock contention in Junoplatform code. The platform lock is used to mediate access to a single SCPcommunication channel. This is compounded by the SCP firmware waiting for eachAP CPU to enter WFI before making the channel available to other CPUs, whicheffectively serializes the SCP power down commands from all CPUs.
On platforms with a more efficient CPU power down mechanism, it should bepossible to make thePSCI_ENTRY
times smaller and consistent.
ThePSCI_EXIT
times are consistent across all CPUs because TF does notrequire locks at power level 0.
TheCFLUSH_OVERHEAD
times for all CPUs are small and consistent since onlythe cache associated with power level 0 is flushed (L1).
8.2.3.3.CPU_SUSPEND
to deepest power level on all CPUs in sequence
CPU |
|
|
|
---|---|---|---|
0 | 114 | 20 | 94 |
1 | 114 | 20 | 94 |
2 | 114 | 20 | 94 |
3 | 114 | 20 | 94 |
4 | 195 | 22 | 180 |
5 | 21 | 17 | 6 |
TheCFLUSH_OVERHEAD
times for lead CPU 4 and all CPUs in the non-lead clusterare large because all other CPUs in the cluster are powered down during thetest. TheCPU_SUSPEND
call powers down to the cluster level, requiring aflush of both L1 and L2 caches.
TheCFLUSH_OVERHEAD
time for CPU 4 is a lot larger than those for the littleCPUs because the L2 cache size for the big cluster is lot larger (2MB) comparedto the little cluster (1MB).
ThePSCI_ENTRY
andCFLUSH_OVERHEAD
times for CPU 5 are low because leadCPU 4 continues to run while CPU 5 is suspended. Hence CPU 5 only powers down tolevel 0, which only requires L1 cache flush.
8.2.3.4.CPU_SUSPEND
to power level 0 on all CPUs in sequence
CPU |
|
|
|
---|---|---|---|
0 | 22 | 14 | 5 |
1 | 22 | 14 | 5 |
2 | 21 | 14 | 5 |
3 | 22 | 14 | 5 |
4 | 17 | 14 | 6 |
5 | 18 | 15 | 6 |
Here the times are small and consistent since there is no contention and it isonly necessary to flush the cache to power level 0 (L1). This is the best casescenario.
ThePSCI_ENTRY
times for CPUs in the big cluster are slightly smaller thanfor the CPUs in little cluster due to greater CPU performance.
ThePSCI_EXIT
times are generally lower than in the last test because thecluster remains powered on throughout the test and there is less code to executeon power on (for example, no need to enter CCI coherency)
8.2.3.5.CPU_OFF
on all non-lead CPUs in sequence thenCPU_SUSPEND
on lead CPU to deepest power level
The test sequence here is as follows:
Call
CPU_ON
andCPU_OFF
on each non-lead CPU in sequence.Program wake up timer and suspend the lead CPU to the deepest power level.
Call
CPU_ON
on non-lead CPU to get the timestamps from each CPU.
CPU |
|
|
|
---|---|---|---|
0 | 110 | 28 | 93 |
1 | 110 | 28 | 93 |
2 | 110 | 28 | 93 |
3 | 111 | 28 | 93 |
4 | 195 | 22 | 181 |
5 | 20 | 23 | 6 |
TheCFLUSH_OVERHEAD
times for all little CPUs are large because all otherCPUs in that cluster are powerered down during the test. TheCPU_OFF
callpowers down to the cluster level, requiring a flush of both L1 and L2 caches.
ThePSCI_ENTRY
andCFLUSH_OVERHEAD
times for CPU 5 are small becauselead CPU 4 is running and CPU 5 only powers down to level 0, which only requiresan L1 cache flush.
TheCFLUSH_OVERHEAD
time for CPU 4 is a lot larger than those for the littleCPUs because the L2 cache size for the big cluster is lot larger (2MB) comparedto the little cluster (1MB).
ThePSCI_EXIT
times for CPUs in the big cluster are slightly smaller thanfor CPUs in the little cluster due to greater CPU performance. These timesgenerally are greater than thePSCI_EXIT
times in theCPU_SUSPEND
testsbecause there is more code to execute in the “on finisher” compared to the“suspend finisher” (for example, GIC redistributor register programming).
8.2.3.6.PSCI_VERSION
on all CPUs in parallel
Since very little code is associated withPSCI_VERSION
, this testapproximates the round trip latency for handling a fast SMC at EL3 in TF.
CPU | TOTAL TIME (ns) |
---|---|
0 | 3020 |
1 | 2940 |
2 | 2980 |
3 | 3060 |
4 | 520 |
5 | 720 |
The times for the big CPUs are less than the little CPUs due to greater CPUperformance.
We suspect the time for lead CPU 4 is shorter than CPU 5 due to subtle cacheeffects, given that these measurements are at the nano-second level.
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