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LLVM-EXEGESIS(1) |
LLVM |
LLVM-EXEGESIS(1) |
llvm-exegesis - LLVM Machine Instruction Benchmark
llvm-exegesis is a benchmarking tool that uses information
available in LLVM to measure host machine instruction characteristics like
latency, throughput, or port decomposition.
Given an LLVM opcode name and a benchmarking mode,
llvm-exegesis generates a code snippet that makes execution as serial
(resp. as parallel) as possible so that we can measure the latency (resp.
inverse throughput/uop decomposition) of the instruction. The code snippet
is jitted and, unless requested not to, executed on the host subtarget. The
time taken (resp. resource usage) is measured using hardware performance
counters. The result is printed out as YAML to the standard output.
The main goal of this tool is to automatically (in)validate the
LLVM's TableDef scheduling models. To that end, we also provide analysis of
the results.
llvm-exegesis can also benchmark arbitrary user-provided
code snippets.
llvm-exegesis currently only supports X86 (64-bit only),
ARM (AArch64 only, snippet generation is sparse), MIPS, and PowerPC
(PowerPC64LE only) on Linux for benchmarking. Not all benchmarking
functionality is guaranteed to work on every platform. llvm-exegesis
also has a separate analysis mode that is supported on every platform that
LLVM is.
To enable benchmarking in llvm-exegesis, LLVM must be configured
and built with LLVM_ENABLE_LIBPFM enabled, as llvm-exegesis
depends on libpfm4 for accessing performance counters. Benchmarking may fail
if the target CPU is unsupported by libpfm. This can be verified by setting
LIBPFM_VERBOSE and LIBPFM_DEBUG environment variables to
enable verbose or debug mode for libpfm. If libpfm is installed in a
non-standard directory, LLVM can be configured to locate the necessary
library and header files by setting LIBRARY_PATH,
C_INCLUDE_PATH, and CPLUS_INCLUDE_PATH environment variables.
Additionally, LD_LIBRARY_PATH should be set so that
llvm-exegesis can locate the libpfm library during execution.
llvm-exegesis supports benchmarking arbitrary snippets of
assembly. However, benchmarking these snippets often requires some setup so
that they can execute properly. llvm-exegesis has five annotations
and some additional utilities to help with setup so that snippets can be
benchmarked properly.
- LLVM-EXEGESIS-DEFREG <register name> - Adding this annotation
to the text assembly snippet to be benchmarked marks the register as
requiring a definition. A value will automatically be provided unless a
second parameter, a hex value, is passed in. This is done with the
LLVM-EXEGESIS-DEFREG <register name> <hex value>
format. <hex value> is a bit pattern used to fill the
register. If it is a value smaller than the register, it is sign extended
to match the size of the register.
- LLVM-EXEGESIS-LIVEIN <register name> - This annotation allows
specifying registers that should keep their value upon starting the
benchmark. Values can be passed through registers from the benchmarking
setup in some cases. The registers and the values assigned to them that
can be utilized in the benchmarking script with a
LLVM-EXEGESIS-LIVEIN are as follows:
- •
- Scratch memory register - The specific register that this value is put in
is platform dependent (e.g., it is the RDI register on X86 Linux). Setting
this register as a live in ensures that a pointer to a block of memory
(1MB) is placed within this register that can be used by the snippet.
- LLVM-EXEGESIS-MEM-DEF <value name> <size> <value>
- This annotation allows specifying memory definitions that can later be
mapped into the execution process of a snippet with the
LLVM-EXEGESIS-MEM-MAP annotation. Each value is named using the
<value name> argument so that it can be referenced later
within a map annotation. The size is specified in a decimal number of
bytes and the value is given in hexadecimal. If the size of the value is
less than the specified size, the value will be repeated until it fills
the entire section of memory. Using this annotation requires using the
subprocess execution mode.
- LLVM-EXEGESIS-MEM-MAP <value name> <address> - This
annotation allows for mapping previously defined memory definitions into
the execution context of a process. The value name refers to a previously
defined memory definition and the address is a decimal number that
specifies the address the memory definition should start at. Note that a
single memory definition can be mapped multiple times. Using this
annotation requires the subprocess execution mode.
- LLVM-EXEGESIS-SNIPPET-ADDRESS <address> - This annotation
allows for setting the address where the beginning of the snippet to be
executed will be mapped in at. The address is given in hexadecimal. Note
that the snippet also includes setup code, so the instruction exactly at
the specified address will not be the first instruction in the snippet.
Using this annotation requires the subprocess execution mode. This is
useful in cases where the memory accessed by the snippet depends on the
location of the snippet, like RIP-relative addressing.
- LLVM-EXEGESIS-LOOP-REGISTER <register name> - This annotation
specifies the loop register to use for keeping track of the current
iteration when using the loop repetition mode. llvm-exegesis needs
to keep track of the current loop iteration within the loop repetition
mode in a performant manner (i.e., no memory accesses), and uses a
register to do this. This register has an architecture specific default
(e.g., R8 on X86), but this might conflict with some snippets. This
annotation allows changing the register to prevent interference between
the loop index register and the snippet.
Assume you have an X86-64 machine. To measure the latency of a
single instruction, run:
$ llvm-exegesis --mode=latency --opcode-name=ADD64rr
Measuring the uop decomposition or inverse throughput of an
instruction works similarly:
$ llvm-exegesis --mode=uops --opcode-name=ADD64rr
$ llvm-exegesis --mode=inverse_throughput --opcode-name=ADD64rr
The output is a YAML document (the default is to write to stdout,
but you can redirect the output to a file using
--benchmarks-file):
---
key:
opcode_name: ADD64rr
mode: latency
config: ''
cpu_name: haswell
llvm_triple: x86_64-unknown-linux-gnu
num_repetitions: 10000
measurements:
- { key: latency, value: 1.0058, debug_string: '' }
error: ''
info: 'explicit self cycles, selecting one aliasing configuration.
Snippet:
ADD64rr R8, R8, R10
'
...
To measure the latency of all instructions for the host
architecture, run:
$ llvm-exegesis --mode=latency --opcode-index=-1
To measure the latency/uops of a custom piece of code, you can
specify the snippets-file option (- reads from standard
input).
$ echo "vzeroupper" | llvm-exegesis --mode=uops --snippets-file=-
Real-life code snippets typically depend on registers or memory.
llvm-exegesis checks the liveliness of registers (i.e. any register
use has a corresponding def or is a "live in"). If your code
depends on the value of some registers, you need to use snippet annotations
to ensure setup is performed properly.
For example, the following code snippet depends on the values of
XMM1 (which will be set by the tool) and the memory buffer passed in RDI
(live in).
# LLVM-EXEGESIS-LIVEIN RDI
# LLVM-EXEGESIS-DEFREG XMM1 42
vmulps (%rdi), %xmm1, %xmm2
vhaddps %xmm2, %xmm2, %xmm3
addq $0x10, %rdi
Some snippets require memory setup in specific places to execute
without crashing. Setting up memory can be accomplished with the
LLVM-EXEGESIS-MEM-DEF and LLVM-EXEGESIS-MEM-MAP annotations.
To execute the following snippet:
movq $8192, %rax
movq (%rax), %rdi
We need to have at least eight bytes of memory allocated starting
0x2000. We can create the necessary execution environment with the
following annotations added to the snippet:
# LLVM-EXEGESIS-MEM-DEF test1 4096 7fffffff
# LLVM-EXEGESIS-MEM-MAP test1 8192
movq $8192, %rax
movq (%rax), %rdi
Assuming you have a set of benchmarked instructions (either
latency or uops) as YAML in file /tmp/benchmarks.yaml, you can
analyze the results using the following command:
$ llvm-exegesis --mode=analysis \
--benchmarks-file=/tmp/benchmarks.yaml \
--analysis-clusters-output-file=/tmp/clusters.csv \
--analysis-inconsistencies-output-file=/tmp/inconsistencies.html
This will group the instructions into clusters with the same
performance characteristics. The clusters will be written out to
/tmp/clusters.csv in the following format:
cluster_id,opcode_name,config,sched_class
...
2,ADD32ri8_DB,,WriteALU,1.00
2,ADD32ri_DB,,WriteALU,1.01
2,ADD32rr,,WriteALU,1.01
2,ADD32rr_DB,,WriteALU,1.00
2,ADD32rr_REV,,WriteALU,1.00
2,ADD64i32,,WriteALU,1.01
2,ADD64ri32,,WriteALU,1.01
2,MOVSX64rr32,,BSWAP32r_BSWAP64r_MOVSX64rr32,1.00
2,VPADDQYrr,,VPADDBYrr_VPADDDYrr_VPADDQYrr_VPADDWYrr_VPSUBBYrr_VPSUBDYrr_VPSUBQYrr_VPSUBWYrr,1.02
2,VPSUBQYrr,,VPADDBYrr_VPADDDYrr_VPADDQYrr_VPADDWYrr_VPSUBBYrr_VPSUBDYrr_VPSUBQYrr_VPSUBWYrr,1.01
2,ADD64ri8,,WriteALU,1.00
2,SETBr,,WriteSETCC,1.01
...
llvm-exegesis will also analyze the clusters to point out
inconsistencies in the scheduling information. The output is an html file.
For example, /tmp/inconsistencies.html will contain messages like the
following : [image]
Note that the scheduling class names will be resolved only when
llvm-exegesis is compiled in debug mode, else only the class id will
be shown. This does not invalidate any of the analysis results though.
- --help
- Print a summary of command line options.
- --opcode-index=<LLVM
opcode index>
- Specify the opcode to measure, by index. Specifying -1 will result
in measuring every existing opcode. See example 1 for details. Either
opcode-index, opcode-name or snippets-file must be
set.
- --snippets-file=<filename>
- Specify the custom code snippet to measure. See example 2 for details.
Either opcode-index, opcode-name or snippets-file
must be set.
- --mode=[latency|uops|inverse_throughput|analysis]
- Specify the run mode. Note that some modes have additional requirements
and options.
latency mode can be make use of either RDTSC or LBR.
latency[LBR] is only available on X86 (at least Skylake).
To run in latency mode, a positive value must be specified for
x86-lbr-sample-period and --repetition-mode=loop.
In analysis mode, you also need to specify at least one
of the -analysis-clusters-output-file= and
-analysis-inconsistencies-output-file=.
- --benchmark-phase=[prepare-snippet|prepare-and-assemble-snippet|assemble-measured-code|measure]
- By default, when -mode= is specified, the generated snippet will be
executed and measured, and that requires that we are running on the
hardware for which the snippet was generated, and that supports
performance measurements. However, it is possible to stop at some stage
before measuring. Choices are: * prepare-snippet: Only generate the
minimal instruction sequence. * prepare-and-assemble-snippet: Same
as prepare-snippet, but also dumps an excerpt of the sequence (hex
encoded). * assemble-measured-code: Same as
prepare-and-assemble-snippet. but also creates the full sequence
that can be dumped to a file using --dump-object-to-disk. *
measure: Same as assemble-measured-code, but also runs the
measurement.
- --x86-lbr-sample-period=<nBranches/sample>
- Specify the LBR sampling period - how many branches before we take a
sample. When a positive value is specified for this option and when the
mode is latency, we will use LBRs for measuring. On choosing the
"right" sampling period, a small value is preferred, but
throttling could occur if the sampling is too frequent. A prime number
should be used to avoid consistently skipping certain blocks.
- --x86-disable-upper-sse-registers
- Using the upper xmm registers (xmm8-xmm15) forces a longer instruction
encoding which may put greater pressure on the frontend fetch and decode
stages, potentially reducing the rate that instructions are dispatched to
the backend, particularly on older hardware. Comparing baseline results
with this mode enabled can help determine the effects of the frontend and
can be used to improve latency and throughput estimates.
- --repetition-mode=[duplicate|loop|min|middle-half-duplicate|middle-half-loop]
- Specify the repetition mode. duplicate will create a large,
straight line basic block with min-instructions instructions
(repeating the snippet min-instructions/snippet size times).
loop will, optionally, duplicate the snippet until the loop body
contains at least loop-body-size instructions, and then wrap the
result in a loop which will execute min-instructions instructions
(thus, again, repeating the snippet min-instructions/snippet
size times). The loop mode, especially with loop unrolling
tends to better hide the effects of the CPU frontend on architectures that
cache decoded instructions, but consumes a register for counting
iterations. If performing an analysis over many opcodes, it may be best to
instead use the min mode, which will run each other mode, and
produce the minimal measured result. The middle half repetition modes will
either duplicate or run the snippet in a loop depending upon the specific
mode. The middle half repetition modes will run two benchmarks, one twice
the length of the first one, and then subtract the difference between them
to get values without overhead.
- --min-instructions=<Number
of instructions>
- Specify the target number of executed instructions. Note that the actual
repetition count of the snippet will be min-instructions/snippet
size. Higher values lead to more accurate measurements but lengthen
the benchmark.
- --loop-body-size=<Preferred
loop body size>
- Only effective for -repetition-mode=[loop|min]. Instead of looping
over the snippet directly, first duplicate it so that the loop body
contains at least this many instructions. This potentially results in loop
body being cached in the CPU Op Cache / Loop Cache, which allows to which
may have higher throughput than the CPU decoders.
- --max-configs-per-opcode=<value>
- Specify the maximum configurations that can be generated for each opcode.
By default this is 1, meaning that we assume that a single
measurement is enough to characterize an opcode. This might not be true of
all instructions: for example, the performance characteristics of the LEA
instruction on X86 depends on the value of assigned registers and
immediates. Setting a value of -max-configs-per-opcode larger than
1 allows llvm-exegesis to explore more configurations to
discover if some register or immediate assignments lead to different
performance characteristics.
- --analysis-filter=[all|reg-only|mem-only]
- By default, all benchmark results are analysed, but sometimes it may be
useful to only look at those that to not involve memory, or vice versa.
This option allows to either keep all benchmarks, or filter out (ignore)
either all the ones that do involve memory (involve instructions that may
read or write to memory), or the opposite, to only keep such
benchmarks.
- --analysis-clustering=[dbscan,naive]
- Specify the clustering algorithm to use. By default DBSCAN will be used.
Naive clustering algorithm is better for doing further work on the
-analysis-inconsistencies-output-file= output, it will create one
cluster per opcode, and check that the cluster is stable (all points are
neighbours).
- --analysis-display-unstable-clusters
- If there is more than one benchmark for an opcode, said benchmarks may end
up not being clustered into the same cluster if the measured performance
characteristics are different. by default all such opcodes are filtered
out. This flag will instead show only such unstable opcodes.
- --mcpu=<cpu
name>
- If set, measure the cpu characteristics using the counters for this CPU.
This is useful when creating new sched models (the host CPU is unknown to
LLVM). (-mcpu=help for details)
- --analysis-override-benchmark-triple-and-cpu
- By default, llvm-exegesis will analyze the benchmarks for the triple/CPU
they were measured for, but if you want to analyze them for some other
combination (specified via -mtriple/-mcpu), you can pass
this flag.
- --dump-object-to-disk=true
- If set, llvm-exegesis will dump the generated code to a temporary file to
enable code inspection. Disabled by default.
- --use-dummy-perf-counters
- If set, llvm-exegesis will not read any real performance counters and
return a dummy value instead. This can be used to ensure a snippet doesn't
crash when hardware performance counters are unavailable and for debugging
llvm-exegesis itself.
- --execution-mode=[inprocess,subprocess]
- This option specifies what execution mode to use. The inprocess
execution mode is the default. The subprocess execution mode allows
for additional features such as memory annotations but is currently
restricted to X86-64 on Linux.
- --benchmark-repeat-count=<repeat-count>
- This option enables specifying the number of times to repeat the
measurement when performing latency measurements. By default,
llvm-exegesis will repeat a latency measurement enough times to balance
run-time and noise reduction.
- --benchmark-process-cpu=<cpu
id>
- This option specifies the number of the CPU that should be used to run the
benchmarking subprocess. When starting the subprocess,
llvm-exegesis will set the affinity of the subprocess to only
include the specified CPU. This option only works in the subprocess
execution mode.
llvm-exegesis returns 0 on success. Otherwise, an error
message is printed to standard error, and the tool returns a non 0
value.
Maintained by the LLVM Team (https://llvm.org/).
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