The individual benchmarks are described in the README
file in the
collector/benchmarks
directory.
Before doing anything else, you should build collector
(for running the
benchmarks) and site
(for viewing the results):
cargo +nightly build --release
You may need to install OpenSSL libraries so that the openssl-sys
crate used
by several benchmarks will compile. On Ubuntu Linux 18.10 do the following:
sudo apt install libssl1.0-dev
Without this, you will likely get the following build panic on some benchmarks:
This crate is only compatible with OpenSSL 1.0.1, 1.0.2, and 1.1.0, or LibreSSL
2.5 and 2.6.0, but a different version of OpenSSL was found. The build is now
aborting due to this version mismatch.
This section is about benchmarking rustc, i.e. measuring its performance on the standard benchmark suite. The most likely reason for doing this is to evaluate the performance effect of a change you've made to rustc. It's also done regularly by the benchmark server.
An easy (but slow) way to benchmark the performance effect of a change is to request a run on the benchmark server for a specific PR.
First, create a PR with the changes.
After that, you need try privileges, or the assistance of someone with try
privileges. Ask in #t-compiler/help on Zulip and/or
ping @simulacrum
as a starting point.
There are two ways for that person to do a benchmark run.
- The easier way: they enter
@bors try @rust-timer queue
as a comment in the PR. This queues a try build and a benchmarking run. Several hours later, the results will be available at the given URL. - The harder way: they must first enter
@bors try
to trigger a try build. Once that completes, they must enter@rust-timer build $MERGE
, where$MERGE
is the full 40 character merge revision ID from the try build.
Various measurements are available: instructions (the default), cycles, wall
time, peak RSS memory, etc. There is some non-determinism and natural variation
in the measurements. Instructions is the default because it has the least
variation. Benchmarks that are known to have high instructions variance are
marked with a '?' in the compare
page.
The following command runs the benchmark suite using a local rustc:
./target/release/collector bench_local <RUSTC>
It will benchmark the entire suite and put the results in a SQLite database
file called results.db
. The full benchmark suite takes hours to run, but the
time can be reduced greatly by using the options below to reduce the number of
benchmarks, profiles, or scenarios. Progress output is printed to stderr.
The following arguments are mandatory.
<RUSTC>
: a path (relative or absolute) to a rustc executable that will be benchmarked. The value is likely to be something like$RUST/build/x86_64-unknown-linux-gnu/stage1/bin/rustc
, where$RUST
is a path (relative or absolute) to arust
repository. You can use either a stage 1 or a stage 2 compiler, but if you're comparing two versions you should choose consistently. Alternatively, it can be a+
-prefixed toolchain specifier such as+nightly
or+f7bb8e3677ba4277914e85a3060e5d69151aed44
in which caserustup
will be used to obtain the toolchain, downloading it if necessary.
The identifier under which the results will be put into the database varies.
- If the
--id
option is specified, that identifer will be used. - Otherwise, if rustc is specified via a path,
Id
will be used. - Otherwise, rustc is specified via a
+
-prefixed toolchain specifier, and the toolchain name will be used.
The following options alter the behaviour of the bench_local
subcommand.
--bench-rustc
: there is a specialrustc
benchmark that involves downloading a recent Rust compiler and measuring the time taken to compile it. This benchmark works very differently to all the other benchmarks. For example,--profiles
and--scenarios
don't affect it, and the givenID
is used as therust-lang/rust
ref (falling back toHEAD
if theID
is not a valid ref). It is for advanced and CI use only. This option enables it.--cargo <CARGO>
: a path (relative or absolute) to a Cargo executable that will be used to build the benchmarks. By default, the nightly Cargo installed byrustup
will be used. This is usually fine, though in rare cases it may cause local results to not exactly match production results, because Cargo sometimes begins passing (or stops passing) various flags to rustc.--db <DATABASE>
: a path (relative or absolute) to a sqlite database file in which the timing data will be placed. It will be created if it does not already exist. The default isresults.db
. Alternatively, the collector supports postgres as a backend and the URL can be specified (beginning withpostgres://
), but this is unlikely to be useful for local collection.--exclude <EXCLUDE>
: this is used to run a subset of the benchmarks. The argument is a comma-separated list of benchmark names. When this option is specified, a benchmark is excluded from the run if its name matches one or more of the given names.--id <ID>
the identifier that will be used to identify the results in the database.--include <INCLUDE>
: the inverse of--exclude
. The argument is a comma-separated list of benchmark names. When this option is specified, a benchmark is included in the run only if its name matches one or more of the given names.--profiles <PROFILES>
: the profiles to be benchmarked. The possible choices are one or more (comma-separated) ofCheck
,Debug
,Doc
,Opt
, andAll
. The default isCheck,Debug,Opt
.--rustdoc <RUSTDOC>
: a path (relative or absolute) to a rustdoc executable that will be benchmarked (but only if aDoc
profile is requested with--profiles
). If aDoc
profile is requested, by default the tool will look for a rustdoc executable next to the rustc specified via the<RUSTC>
argument.--scenarios <SCENARIOS>
: the scenarios to be benchmarked. The possible choices are one or more (comma-separated) ofFull
,IncrFull
,IncrUnchanged
,IncrPatched
, andAll
. The default isAll
. Note thatIncrFull
is always run if either ofIncrUnchanged
orIncrPatched
are run (even if not requested).--self-profile
: use rustc's-Zself-profile
option to produce query/function tables in the output. Themeasureme
tool must be installed for this to work.
RUST_LOG=debug
can be specified to enable verbose logging, which is useful
for debugging collector
itself.
Often you'll want to compare two different compiler versions. For example, you might have two clones of the rustc repository: one that is unmodified, and a second that contains a branch of your changes. To compare the two versions, do something like this:
./target/release/collector bench_local --id Original $RUST_ORIGINAL
./target/release/collector bench_local --id Modified $RUST_MODIFIED
where $RUST_ORIGINAL
and $RUST_MODIFIED
are paths (relative or absolute) to
the relevant rustc executables.
Once the benchmarks have been run, start the website:
./target/release/site <DATABASE>
wait for the "Loading complete" message to be printed, and then visit
localhost:2346/compare.html
in a web browser.
Enter the IDs for two runs in the "Commit/Date A" and "Commit/Date B" text boxes and click on "Submit". You can enter the same ID twice, though in that case you won't be shown any percentage differences.
If you've collected new data, you can run curl -X POST localhost:2346/perf/onpush
to update the site's view of the data, or just
restart the server.
To benchmark on Windows, you will need to run the collector in a elevated context so that it can access the hardware performance counters. Note: some virtualized environments do not permit access to these counters for guest VMs.
You will also need to provide the paths to the xperf and tracelog tools (or have them available on your PATH). Some common paths to these tools look like:
$env:XPERF="C:\Program Files (x86)\Windows Kits\10\Windows Performance Toolkit\xperf.exe"
$env:TRACELOG="C:\Program Files (x86)\Windows Kits\10\bin\10.0.19041.0\x64\tracelog.exe"
Finally, while most of the options you can pass to the collector are supported, the majority of
the profilers used in the profile_local
command are not. In Windows, the only currently supported
profiler is the self-profiler
.
As a complete example, let's run just the regex-1.5.5
benchmark in the Debug
profile with self-profiling results available:
$env:XPERF="C:\Program Files (x86)\Windows Kits\10\Windows Performance Toolkit\xperf.exe"
$env:TRACELOG="C:\Program Files (x86)\Windows Kits\10\bin\10.0.19041.0\x64\tracelog.exe"
.\target\release\collector.exe bench_local $env:RUST_ORIGINAL --id Original --profiles Debug --include regex-1.5.5 --self-profile
.\target\release\collector.exe bench_local $env:RUST_MODIFIED --id Modified --profiles Debug --include regex-1.5.5 --self-profile
.\target\release\site.exe .\results.db
The open a web browser to http://localhost:2346/compare.html?start=Original&end=Modified&stat=instructions%3Au
.
Note: This example uses Powershell syntax.
We download the artifacts (rustc, rust-std, cargo) produced by CI and properly
unarchive them into the correct directories to allow cargo and rustc to
function. Currently only x86_64-unknown-linux-gnu
is supported, but the
system should expand to other platforms (e.g., Windows) with some work.
The Linux perf
tool is used to gather most of the data.
Benchmarking will only work for commits that have been built on rust-lang/rust repository in the last ~168 days, including try commits. Local benchmarking is of course theoretically possible for any commit, though some of the benchmarks may require recent compilers to build without patching.
This section is about profiling rustc, in order to determine how its execution might be optimized.
If you are going to use any of the profilers that rely on line numbers
(OProfile, Cachegrind, Callgrind, DHAT, or Massif) use the following
config.toml
file for your local build.
[llvm]
release-debuginfo = true
[rust]
debuginfo-level = 1
Without this you won't get useful file names and line numbers in the output.
To profile a local rustc with one of several profilers:
./target/release/collector profile_local <PROFILER> <RUSTC>
It will profile the entire suite and put the results in a directory called
results/
.
The mandatory <PROFILER>
argument must be one of the following.
self-profile
: Profile with rustc's-Zself-profile
.- Purpose. This gathers the same high-level query/function data as the
--self-profile
option of thebench_local
subcommand, but it presents the data in three different forms. - Slowdown. Minimal.
- Output. Raw output is written to a directory with a
Zsp
prefix. The files in that directory can be processed with variousmeasureme
tools. Human-readable output fromsummarize
is written to a file with asummarize
prefix; this is very similar to the query/function tables produced bybench_local
with the--self-profile
option. Output fromflamegraph
, viewable with a web browser, is written to a file with aflamegraph
prefix. Output fromcrox
, viewable with Chromium's profiler, is written to a file with acrox
prefix.
- Purpose. This gathers the same high-level query/function data as the
time-passes
: Profile with rustc's-Ztime-passes
.- Purpose. This gives a high-level indication of compiler performance by showing how long each compilation pass takes.
- Slowdown. None.
- Output. Human-readable text output is written to files with a
Ztp
prefix. Note that the parents of indented sub-passes are shown below those passes, rather than above. Note also that the LLVM passes run in parallel, which can make the output confusing.
perf-record
: Profile withperf-record
, a sampling profiler.- Purpose.
perf-record
is a general-purpose profiler, good for seeing where execution time is spent and finding hot functions. - Slowdown. Negligible.
- Output. Binary output is written to files with a
perf
prefix. Those files can be read withperf-report
and other similarperf
commands, or with the excellent Hotspot viewer.
- Purpose.
oprofile
: Profile with OProfile, a sampling profiler.- Purpose. OProfile is a general-purpose profiler, good for seeing where execution time is spent and finding hot functions and lines.
- Slowdown. Negligible.
- Output. Binary output is written to a directory with an
opout
prefix. That directory can be processed withopreport
andopannotate
. Human-readable output is also written to files with anoprep
and anopann
prefix. - Notes. OProfile fails moderately often with this message: "operf-record process killed by signal 13". The failures seem to be random; re-running often results in success.
cachegrind
: Profile with Cachegrind, a tracing profiler. Requires Valgrind 3.15 or later.- Purpose. Cachegrind provides global, per-function, and per-source-line instruction counts. This fine-grained information can be extremely useful. Cachegrind's results are almost deterministic, which eases comparisons across multiple runs.
- Slowdown. Roughly 3--10x.
- Configuration. Within
profile_local
, Cachegrind is configured to not simulate caches and the branch predictor, even though it can, because the simulation slows it down and 99% of the time instruction counts are all you need. - Output. Raw output is written to files with a
cgout
prefix. Human-readable text output is written to files with acgann
prefix. - Diffs. The
cg_diff
command can be used to diff two different raw output files, which is very useful for comparing profiles produce by two different versions of rustc. If those two versions are in different directories (such asrust0
andrust1
), use a flag like--mod-filename='s/rust[01]/rustN/g'
to eliminate path differences.
callgrind
: Profile with Callgrind, a tracing profiler. Requires Valgrind 3.15 or later.- Purpose. Callgrind collects the same information as Cachegrind, plus
function call information. So it can be used like either Cachegrind or
perf-record
. However, it cannot perform diffs between profiles. - Slowdown. Roughly 5--20x.
- Configuration. Like Cachegrind, within
profile_local
Callgrind is configured to not simulate caches and the branch predictor. - Output. Raw output is written to files with a
clgout
prefix; those files can be viewed with the graphical KCachegrind tool. Human-readable text output is also written to files with aclgann
prefix; this output is much the same as thecgann
-prefixed files produced by Cachegrind, but with extra annotations showing function call counts.
- Purpose. Callgrind collects the same information as Cachegrind, plus
function call information. So it can be used like either Cachegrind or
dhat
: Profile with DHAT, a heap profiler. Requires Valgrind 3.15 or later.- Purpose. DHAT is good for finding which parts of the code are causing a
lot of allocations. This is relevant if another profiler such as
perf-record
or Cachegrind tell you thatmalloc
andfree
are hot functions (as they often are). It also gives insight into peak memory usage, similar to Massif. - Slowdown. Roughly 5--20x.
- Configuration. DHAT is configured within
profile_local
to run with the non-default--num-callers=4
option, which dictates stack depths. (This value of 4 does not include inlined stack frames, so in practice the depths of stack traces are a lot more than 4.) This is almost always enough, but on the rare occasion it isn't, you can change the value inrustc-fake.rs
and rebuildcollector
. Note that higher values make DHAT run more slowly and increase the size of its data files. - Output. Raw output is written to files with a
dhout
prefix. Those files can be viewed with DHAT's viewer (dh_view.html
).
- Purpose. DHAT is good for finding which parts of the code are causing a
lot of allocations. This is relevant if another profiler such as
dhat-copy
: Profile with DHAT in "copy mode". Requires Valgrind 3.17 or later.- Purpose. DHAT's copy mode is good for finding which parts of the code
are causing a lot of memory copies. This is relevant if another profiler
such as
perf-record
or Cachegrind tell you that functions likememcpy
ormemmove
are hot (as they often are). - Slowdown. Roughly 5--20x.
- Configuration. Same as for DHAT.
- Output. Raw output is written to files with a
dhcopy
prefix. Those files can be viewed with DHAT's viewer (dh_view.html
).
- Purpose. DHAT's copy mode is good for finding which parts of the code
are causing a lot of memory copies. This is relevant if another profiler
such as
massif
: Profile with Massif, a heap profiler.- Purpose. Massif is designed to give insight into a program's peak memory usage.
- Slowdown. Roughly 3--10x.
- Output. Raw output is written to files with a
msout
prefix. Those files can be post-processed withms_print
or viewed with the graphicalmassif-visualizer
; the latter is recommended, though it sometimes fails to read output files thatms_print
can handle.
eprintln
: Profile witheprintln!
statements.- Purpose. Sometimes it is useful to do ad hoc profiling by inserting
eprintln!
statements into rustc, e.g. to count how often particular paths are hit, or to see what values particular expressions have each time they are executed. - Slowdown. Depends where the
eprintln!
statements are inserted. - Output. The output of these
eprintln!
statements (and everything else written tostderr
) is written to files with aneprintln
prefix. Those files can be post-processed in any appropriate fashion;counts
is one possibility.
- Purpose. Sometimes it is useful to do ad hoc profiling by inserting
llvm-lines
: Profile withcargo llvm-lines
a code size measurer.- Purpose. This command counts the number of lines of LLVM IR are generated across all instantiations of each function. In other words, it's a tool for finding code bloat.
- Slowdown. It Is likely to run faster than normal compilation.
- Output. Human-readable output is written to files with an
ll
prefix. - Notes. Does not work with the
Check
profile. Also does not work with theIncrFull
,IncrUnchanged
, andIncrPatched
scenarios.
llvm-ir
: Dump rustc-generated LLVM IR (before any LLVM passes)- Purpose. This command provides access to the raw LLVM IR rustc produces, which can be used for targeted improvements to functions (e.g., those that get monomorphized a lot) and optimization of rustc IR emission in general.
- Slowdown. Likely runs faster than regular builds due to skipping most of the LLVM work.
- Output. Produces
llir
prefixed files, in LLVM IR textual format.
mono-items
: Dump monomorphization items for each (merged) CGU in the crate. These are also post-processed from the raw format into per-file dumps.- Purpose. This is useful to investigate changes in CGU partionining.
- Slowdown. Equivalent to normal compilation.
- Output. File per CGU, currently, placed in a directory inside results.
- Notes. Will likely work best with the
Full
scenario, on eitherDebug
orOpt
profiles.
dep-graph
: Dump the incremental dependency graph (as produced by -Zdump-dep-graph).- Purpose. This is useful when debugging changes to incremental behavior.
- Slowdown. Equivalent to normal compilation.
- Output. .dot and .txt file (.txt likely is what you want to see first).
- Notes. Works primarily with incremental compilation scenarios.
The mandatory <RUSTC>
argument is a path to a rustc executable or a
+
-prefixed toolchain specifier, the same as for bench_local
.
The identifier that forms part of the output filenames is chosen in a similar
fashion to the one chosen for bench_local
.
The following options alter the behaviour of the profile_local
subcommand.
--cargo <CARGO>
: as forbench_local
.--exclude <EXCLUDE>
: as forbench_local
.--id <ID>
: an identifer that will form part of the output filenames.--include <INCLUDE>
: as forbench_local
.--out-dir <OUT_DIR>
: a path (relative or absolute) to a directory in which the output will be placed. If the directory doesn't exist, it will be created. The default isresults/
.--profiles <PROFILES>
: as forbench_local
.--rustc2 <RUSTC>
: if given, profiles a second Rust compiler for comparison against the first. If a non-toolchain identifier is being used, a1
will be appended to the identifier for the first run and a2
will be appended to the identifier for the second run. If the profiler being used is Cachegrind, diff files will also be produced.--rustdoc <RUSTDOC>
as forbench_local
.--scenarios <SCENARIOS>
: as forbench_local
.
RUST_LOG=debug
can be specified to enable verbose logging, which is useful
for debugging collector
itself.