PERF-ARM-SPE(1) perf Manual PERF-ARM-SPE(1)
perf-arm-spe - Support for Arm Statistical Profiling Extension
within Perf tools
perf record -e arm_spe//
The SPE (Statistical Profiling Extension) feature provides
accurate attribution of latencies and events down to individual
instructions. Rather than being interrupt-driven, it picks an
instruction to sample and then captures data for it during
execution. Data includes execution time in cycles. For loads and
stores it also includes data address, cache miss events, and data
origin.
The sampling has 5 stages:
1. Choose an operation
2. Collect data about the operation
3. Optionally discard the record based on a filter
4. Write the record to memory
5. Interrupt when the buffer is full
Choose an operation
This is chosen from a sample population, for SPE this is an
IMPLEMENTATION DEFINED choice of all architectural instructions or
all micro-ops. Sampling happens at a programmable interval. The
architecture provides a mechanism for the SPE driver to infer the
minimum interval at which it should sample. This minimum interval
is used by the driver if no interval is specified. A pseudo-random
perturbation is also added to the sampling interval by default.
Collect data about the operation
Program counter, PMU events, timings and data addresses related to
the operation are recorded. Sampling ensures there is only one
sampled operation is in flight.
Optionally discard the record based on a filter
Based on programmable criteria, choose whether to keep the record
or discard it. If the record is discarded then the flow stops here
for this sample.
Write the record to memory
The record is appended to a memory buffer
Interrupt when the buffer is full
When the buffer fills, an interrupt is sent and the driver signals
Perf to collect the records. Perf saves the raw data in the
perf.data file.
Up until this point no decoding of the SPE data was done by either
the kernel or Perf. Only when the recorded file is opened with
perf report or perf script does the decoding happen. When decoding
the data, Perf generates "synthetic samples" as if these were
generated at the time of the recording. These samples are the same
as if normal sampling was done by Perf without using SPE, although
they may have more attributes associated with them. For example a
normal sample may have just the instruction pointer, but an SPE
sample can have data addresses and latency attributes.
• Sampling, rather than tracing, cuts down the profiling problem
to something more manageable for hardware. Only one sampled
operation is in flight at a time.
• Allows precise attribution data, including: Full PC of
instruction, data virtual and physical addresses.
• Allows correlation between an instruction and events, such as
TLB and cache miss. (Data source indicates which particular
cache was hit, but the meaning is implementation defined
because different implementations can have different cache
configurations.)
However, SPE does not provide any call-graph information, and
relies on statistical methods.
When an operation is sampled while a previous sampled operation
has not finished, a collision occurs. The new sample is dropped.
Collisions affect the integrity of the data, so the sample rate
should be set to avoid collisions.
The sample_collision PMU event can be used to determine the number
of lost samples. Although this count is based on collisions before
filtering occurs. Therefore this can not be used as an exact
number for samples dropped that would have made it through the
filter, but can be a rough guide.
If an implementation samples micro-operations instead of
instructions, the results of sampling must be weighted
accordingly.
For example, if a given instruction A is always converted into two
micro-operations, A0 and A1, it becomes twice as likely to appear
in the sample population.
The coarse effect of conversions, and, if applicable, sampling of
speculative operations, can be estimated from the sample_pop and
inst_retired PMU events.
The ARM_SPE_PMU config must be set to build as either a module or
statically.
Depending on CPU model, the kernel may need to be booted with page
table isolation disabled (kpti=off). If KPTI needs to be disabled,
this will fail with a console message "profiling buffer
inaccessible. Try passing kpti=off on the kernel command line".
For the full criteria that determine whether KPTI needs to be
forced off or not, see function unmap_kernel_at_el0() in the
kernel sources. Common cases where it’s not required are on the
CPUs in kpti_safe_list, or on Arm v8.5+ where FEAT_E0PD is
mandatory.
The SPE interrupt must also be described by the firmware. If the
module is loaded and KPTI is disabled (or isn’t required to be
disabled) but the SPE PMU still doesn’t show in
/sys/bus/event_source/devices/, then it’s possible that the SPE
interrupt isn’t described by ACPI or DT. In this case no warning
will be printed by the driver.
You can record a session with SPE samples:
perf record -e arm_spe// -- ./mybench
The sample period is set from the -c option, and because the
minimum interval is used by default it’s recommended to set this
to a higher value. The value is written to PMSIRR.INTERVAL.
Config parameters
These are placed between the // in the event and comma separated.
For example -e arm_spe/load_filter=1,min_latency=10/
event_filter=<mask> - logical AND filter on specific events (PMSEVFR) - see bitfield description below
inv_event_filter=<mask> - logical OR to filter out specific events (PMSNEVFR, FEAT_SPEv1p2) - see bitfield description below
jitter=1 - use jitter to avoid resonance when sampling (PMSIRR.RND)
min_latency=<n> - collect only samples with this latency or higher* (PMSLATFR)
pa_enable=1 - collect physical address (as well as VA) of loads/stores (PMSCR.PA) - requires privilege
pct_enable=1 - collect physical timestamp instead of virtual timestamp (PMSCR.PCT) - requires privilege
ts_enable=1 - enable timestamping with value of generic timer (PMSCR.TS)
discard=1 - enable SPE PMU events but don't collect sample data - see 'Discard mode' (PMBLIMITR.FM = DISCARD)
inv_data_src_filter=<mask> - mask to filter from 0-63 possible data sources (PMSDSFR, FEAT_SPE_FDS) - See 'Data source filtering'
* Latency is the total latency from the point at which sampling
started on that instruction, rather than only the execution
latency.
Only some events can be filtered on using event_filter bits. The
overall filter is the logical AND of these bits, for example if
bits 3 and 5 are set only samples that have both L1D cache refill
AND TLB walk are recorded. When FEAT_SPEv1p2 is implemented
inv_event_filter can also be used to exclude events that have any
(OR) of the filter’s bits set. For example setting bits 3 and 5 in
inv_event_filter will exclude any events that are either L1D cache
refill OR TLB walk. If the same bit is set in both filters it’s
UNPREDICTABLE whether the sample is included or excluded. Filter
bits for both event_filter and inv_event_filter are:
bit 1 - Instruction retired (i.e. omit speculative instructions)
bit 2 - L1D access (FEAT_SPEv1p4)
bit 3 - L1D refill
bit 4 - TLB access (FEAT_SPEv1p4)
bit 5 - TLB refill
bit 6 - Not taken event (FEAT_SPEv1p2)
bit 7 - Mispredict
bit 8 - Last level cache access (FEAT_SPEv1p4)
bit 9 - Last level cache miss (FEAT_SPEv1p4)
bit 10 - Remote access (FEAT_SPEv1p4)
bit 11 - Misaligned access (FEAT_SPEv1p1)
bit 12-15 - IMPLEMENTATION DEFINED events (when implemented)
bit 16 - Transaction (FEAT_TME)
bit 17 - Partial or empty SME or SVE predicate (FEAT_SPEv1p1)
bit 18 - Empty SME or SVE predicate (FEAT_SPEv1p1)
bit 19 - L2D access (FEAT_SPEv1p4)
bit 20 - L2D miss (FEAT_SPEv1p4)
bit 21 - Cache data modified (FEAT_SPEv1p4)
bit 22 - Recently fetched (FEAT_SPEv1p4)
bit 23 - Data snooped (FEAT_SPEv1p4)
bit 24 - Streaming SVE mode event (when FEAT_SPE_SME is implemented), or
IMPLEMENTATION DEFINED event 24 (when implemented, only versions
less than FEAT_SPEv1p4)
bit 25 - SMCU or external coprocessor operation event when FEAT_SPE_SME is
implemented, or IMPLEMENTATION DEFINED event 25 (when implemented,
only versions less than FEAT_SPEv1p4)
bit 26-31 - IMPLEMENTATION DEFINED events (only versions less than FEAT_SPEv1p4)
bit 48-63 - IMPLEMENTATION DEFINED events (when implemented)
For IMPLEMENTATION DEFINED bits, refer to the CPU TRM if these
bits are implemented.
The driver will reject events if requested filter bits require
unimplemented SPE versions, but will not reject filter bits for
unimplemented IMPDEF bits or when their related feature is not
present (e.g. SME). For example, if FEAT_SPEv1p2 is not
implemented, filtering on "Not taken event" (bit 6) will be
rejected.
So to sample just retired instructions:
perf record -e arm_spe/event_filter=2/ -- ./mybench
or just mispredicted branches:
perf record -e arm_spe/event_filter=0x80/ -- ./mybench
When set, the following filters can be used to select samples that
match any of the operation types (OR filtering). If only one is
set then only samples of that type are collected:
branch_filter=1 - Collect branches (PMSFCR.B)
load_filter=1 - Collect loads (PMSFCR.LD)
store_filter=1 - Collect stores (PMSFCR.ST)
When extended filtering is supported (FEAT_SPE_EFT), SIMD and
float pointer operations can also be selected:
simd_filter=1 - Collect SIMD loads, stores and operations (PMSFCR.SIMD)
float_filter=1 - Collect floating point loads, stores and operations (PMSFCR.FP)
When extended filtering is supported (FEAT_SPE_EFT), operation
type filters can be changed to AND using _mask fields. For example
samples could be selected if they are store AND SIMD by setting
store_filter=1,simd_filter=1,
store_filter_mask=1,simd_filter_mask=1. The new masks are as
follows:
branch_filter_mask=1 - Change branch filter behavior from OR to AND (PMSFCR.Bm)
load_filter_mask=1 - Change load filter behavior from OR to AND (PMSFCR.LDm)
store_filter_mask=1 - Change store filter behavior from OR to AND (PMSFCR.STm)
simd_filter_mask=1 - Change SIMD filter behavior from OR to AND (PMSFCR.SIMDm)
float_filter_mask=1 - Change floating point filter behavior from OR to AND (PMSFCR.FPm)
Viewing the data
By default perf report and perf script will assign samples to
separate groups depending on the attributes/events of the SPE
record. Because instructions can have multiple events associated
with them, the samples in these groups are not necessarily unique.
For example perf report shows these groups:
Available samples
0 arm_spe//
0 dummy:u
21 l1d-miss
897 l1d-access
5 llc-miss
7 llc-access
2 tlb-miss
1K tlb-access
36 branch
0 remote-access
900 memory
1800 instructions
The arm_spe// and dummy:u events are implementation details and
are expected to be empty.
The instructions group contains the full list of unique samples
that are not sorted into other groups. To generate only this group
use --itrace=i1i.
1i (1 instruction interval) signifies no further downsampling.
Rather than an instruction interval, this generates a sample every
n SPE samples. For example to generate the default set of events
for every 100 SPE samples:
perf report --itrace==bxofmtMai100i
Other period types, for example nanoseconds (ns) are not currently
supported.
Memory access details are also stored on the samples and this can
be viewed with:
perf report --mem-mode
The latency value from the SPE sample is stored in the weight
field of the Perf samples and can be displayed in Perf script and
report outputs by enabling its display from the command line.
Common errors
• "Cannot find PMU ‘arm_spe’. Missing kernel support?"
Module not built or loaded, KPTI not disabled, interrupt not described by firmware,
or running on a VM. See 'Kernel Requirements' above.
• "Arm SPE CONTEXT packets not found in the traces."
Root privilege is required to collect context packets. But these only increase the accuracy of
assigning PIDs to kernel samples. For userspace sampling this can be ignored.
• Excessively large perf.data file size
Increase sampling interval (see above)
PMU events
SPE has events that can be counted on core PMUs. These are
prefixed with SAMPLE_, for example SAMPLE_POP, SAMPLE_FEED,
SAMPLE_COLLISION and SAMPLE_FEED_BR.
These events will only count when an SPE event is running on the
same core that the PMU event is opened on, otherwise they read as
0. There are various ways to ensure that the PMU event and SPE
event are scheduled together depending on the way the event is
opened. For example opening both events as per-process events on
the same process, although it’s not guaranteed that the PMU event
is enabled first when context switching. For that reason it may be
better to open the PMU event as a systemwide event and then open
SPE on the process of interest.
Discard mode
SPE related (SAMPLE_* etc) core PMU events can be used without the
overhead of collecting sample data if discard mode is supported
(optional from Armv8.6). First run a system wide SPE session (or
on the core of interest) using options to minimize output. Then
run perf stat:
perf record -e arm_spe/discard/ -a -N -B --no-bpf-event -o - > /dev/null &
perf stat -e SAMPLE_FEED_LD
Data source filtering
When FEAT_SPE_FDS is present, inv_data_src_filter can be used as a
mask to filter on a subset (0 - 63) of possible data source IDs.
The full range of data sources is 0 - 65535 although these are
unlikely to be used in practice. Data sources are IMPDEF so refer
to the TRM for the mappings. Each bit N of the filter maps to data
source N. The filter is an OR of all the bits, and the value
provided inv_data_src_filter is inverted before writing to
PMSDSFR_EL1 so that set bits exclude that data source and cleared
bits include that data source. Therefore the default value of 0 is
equivalent to no filtering (all data sources included).
For example, to include only data sources 0 and 3, clear bits 0
and 3 (0xFFFFFFFFFFFFFFF6)
When inv_data_src_filter is set to 0xFFFFFFFFFFFFFFFF, any samples
with any data source set are excluded.
perf-record(1), perf-script(1), perf-report(1), perf-inject(1)
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perf 2025-11-24 PERF-ARM-SPE(1)
Pages that refer to this page: perf(1), perf-c2c(1), perf-mem(1)