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-rw-r--r--doc/benchmark.odsbin60946 -> 58458 bytes
-rw-r--r--doc/benchmark.txt216
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diff --git a/doc/benchmark.ods b/doc/benchmark.ods
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+++ b/doc/benchmark.ods
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diff --git a/doc/benchmark.txt b/doc/benchmark.txt
index 9098fa2..4b5e01e 100644
--- a/doc/benchmark.txt
+++ b/doc/benchmark.txt
@@ -1,8 +1,13 @@
- 1) Parallel Compression Benchmark
- *********************************
+ 1) Test Setup
+ *************
+
+ The tests were performed an a system with the following specifications:
+
+ AMD Ryzen 7 3700X
+ 32GiB DDR4 RAM
+ Fedora 32
- 1.1) How was the Benchmark Performed?
An optimized build of squashfs-tools-ng was compiled and installed to a tmpfs:
@@ -14,57 +19,99 @@
$ make -j install
$ cd out
- A SquashFS image to be tested was unpacked in this directory:
- $ ./bin/sqfs2tar <IMAGE> > test.tar
+ This was done to eliminate any influence of I/O performance and I/O caching
+ side effects to the extend possible and only measure the actual processing
+ time.
+
+
+ For all benchmark tests, a Debian image extracted from the Debian 10.2 LiveDVD
+ for AMD64 with XFCE was used.
+
+ The Debian image is expected to contain realistic input data for a Linux
+ file system and also provide enough data for an interesting benchmark.
+
+
+ For all performed benchmarks, graphical representations of the results and
+ derived values can be seen in "benchmark.ods".
+
+
+ 1) Parallel Compression Benchmark
+ *********************************
+
+ 1.1) What was measured?
+
+ The Debian image was first converted to a tarball:
- And then repacked as follows:
+ $ ./bin/sqfs2tar debian.sqfs > test.tar
+
+ The tarball was then repacked and time was measured as follows:
$ time ./bin/tar2sqfs -j <NUM_CPU> -c <COMPRESSOR> -f test.sqfs < test.tar
- Out of 4 runs, the worst wall-clock time ("real") was used for comparison.
+ The repacking was repeated 4 times and the worst wall-clock time ("real") was
+ used for comparison.
+ Altough not relevant for this benchmark, the resulting image sizes where
+ for a specific compressor, so that the compression ratio could be estimated:
- For the serial reference version, configure was re-run with the option
- --without-pthread, the tools re-compiled and re-installed.
+ $ stat test.tar
+ $ stat test.sqfs
- 1.2) What Image was Tested?
- A Debian image extracted from the Debian 10.2 LiveDVD for AMD64 with XFCE
- was used.
+ The <NUM_CPU> was varied from 1 to 16 and for <COMPRESSOR>, all available
+ compressors were used. All possible combinations <NUM_CPU> and <COMPRESSOR>
+ were measured.
- The input size and resulting output sizes turned out to be as follows:
+ In addition, a serial reference version was compiled by running configure
+ with the additional option --without-pthread and re-running the tests for
+ all compressors without the <NUM_CPU> option.
- - As uncompressed tarball: ~6.5GiB (7,008,118,272)
- - As LZ4 compressed SquashFS image: ~3.1GiB (3,381,751,808)
- - As LZO compressed SquashFS image: ~2.5GiB (2,732,015,616)
- - As zstd compressed SquashFS image: ~2.1GiB (2,295,017,472)
- - As gzip compressed SquashFS image: ~2.3GiB (2,471,276,544)
- - As lzma compressed SquashFS image: ~2.0GiB (2,102,169,600)
- - As XZ compressed SquashFS image: ~2.0GiB (2,098,466,816)
+ 1.2) What was computed from the results?
- The Debian image is expected to contain realistic input data for a Linux
- file system and also provide enough data for an interesting benchmark.
+ The relative and absolute speedup were determined as follows:
+ runtime_parallel(compressor, num_cpu)
+ spedup_rel(compressor, num_cpu) = -------------------------------------
+ runtime_parallel(compressor, 1)
- 1.3) What Test System was used?
+ runtime_parallel(compressor, num_cpu)
+ spedup_abs(compressor, num_cpu) = -------------------------------------
+ runtime_serial(compressor)
- AMD Ryzen 7 3700X
- 32GiB DDR4 RAM
- Fedora 31
+
+ In addition, relative and absolute efficiency of the parellel implementation
+ was determined:
+
+ speedup_rel(compressor, num_cpu)
+ efficiency_rel(compressor, num_cpu) = --------------------------------
+ num_cpu
+
+ speedup_abs(compressor, num_cpu)
+ efficiency_abs(compressor, num_cpu) = --------------------------------
+ num_cpu
- 1.4) What software version was used?
+ Furthermore, altough not relevant for this specific benchmark, having the
+ converted tarballs available, the compression ratio was computed as follows:
+
+ file_size(tarball)
+ compression_ratio(compressor) = ---------------------
+ file_size(compressor)
+
+
+ 1.3) What software versions were used?
squashfs-tools-ng v0.9
- TODO: update data and write the *exact* commit hash here.
+ TODO: update data and write the *exact* commit hash here, as well as gcc and
+ Linux versions.
- 1.5) Results
+ 1.4) Results
The raw timing results are as follows:
@@ -87,11 +134,20 @@
15 1m58.298s 1m45.079s 58.348s 1m21.445s 10.192s 1m12.134s
16 1m55.940s 1m42.176s 56.615s 1m19.030s 10.964s 1m11.049s
- The file "benchmark.ods" contains those values, values derived from this and
- charts depicting the results.
+ The sizes of the tarball and the resulting images:
+
+ - LZ4 compressed SquashFS image: ~3.1GiB (3,381,751,808)
+ - LZO compressed SquashFS image: ~2.5GiB (2,732,015,616)
+ - zstd compressed SquashFS image: ~2.1GiB (2,295,017,472)
+ - gzip compressed SquashFS image: ~2.3GiB (2,471,276,544)
+ - lzma compressed SquashFS image: ~2.0GiB (2,102,169,600)
+ - XZ compressed SquashFS image: ~2.0GiB (2,098,466,816)
+ - raw tarball: ~6.5GiB (7,008,118,272)
- 1.6) Discussion
+
+
+ 1.5) Discussion
Most obviously, the results indicate that LZ4, unlike the other compressors,
is clearly I/O bound and not CPU bound and doesn't benefit from parallelization
@@ -140,68 +196,82 @@
2) Reference Decompression Benchmark
************************************
- 2.1) How was the Benchmark Performed?
+ 1.1) What was measured?
- An optimized build of squashfs-tools-ng was compiled and installed to a tmpfs:
+ A SquashFS image was generated for each supported compressor:
- $ mkdir /dev/shm/temp
- $ ln -s /dev/shm/temp out
- $ ./autogen.sh
- $ ./configure CFLAGS="-O3 -Ofast -march=native -mtune=native" \
- LDFLAGS="-O3 -Ofast" --prefix=$(pwd)/out
- $ make -j install
- $ cd out
+ $ ./bin/sqfs2tar debian.sqfs | ./bin/tar2sqfs -c <COMPRESSOR> test.sqfs
- A SquashFS image to be tested was repacked with a desired compressor in
- this directory:
+ And then, for each compressor, the unpacking time was measured:
- $ ./bin/sqfs2tar <IMAGE> | ./bin/tar2sqfs -c <COMPRESSOR> test.sqfs
+ $ time ./bin/sqfs2tar test.sqfs > /dev/null
- And then unpacked as follows:
- $ time ./bin/sqfs2tar test.sqfs > /dev/null
+ The unpacking step was repeated 4 times and the worst wall-clock time ("real")
+ was used for comparison.
- Out of 4 runs, the worst wall-clock time ("real") was used for comparison.
+ 2.2) What software version was used?
+ squashfs-tools-ng commit cc1141984a03da003e15ff229d3b417f8e5a24ad
+
+ gcc version: 10.2.1 20201016 (Red Hat 10.2.1-6)
+ Linux version: 5.8.16-200.fc32.x86_64
- 2.2) What Image was Tested?
- A Debian image extracted from the Debian 10.2 LiveDVD for AMD64 with XFCE
- was used.
+ 2.3) Results
- The input size and resulting output sizes turned out to be as follows:
+ gzip 20.466s
+ lz4 2.519s
+ lzma 1m58.455s
+ lzo 10.521s
+ xz 1m59.451s
+ zstd 7.833s
- - As LZ4 compressed SquashFS image: ~3.1GiB (3,381,751,808)
- - As LZO compressed SquashFS image: ~2.5GiB (2,732,015,616)
- - As zstd compressed SquashFS image: ~2.1GiB (2,295,017,472)
- - As gzip compressed SquashFS image: ~2.3GiB (2,471,276,544)
- - As lzma compressed SquashFS image: ~2.0GiB (2,102,169,600)
- - As XZ compressed SquashFS image: ~2.0GiB (2,098,466,816)
- - As uncompressed tarball: ~6.5GiB (7,008,118,272)
+ 2.4) Discussion
- The Debian image is expected to contain realistic input data for a Linux
- file system and also provide enough data for an interesting benchmark.
+ From the measurement, it becomes obvious that LZ4 and zstd are the two fastest
+ decompressors. Zstd is particularly noteworth here, because it is not far
+ behind LZ4 in speed, but also achievs a substantially better compression ratio
+ that is somewhere between gzip and lzma. LZ4, despite being the fastest in
+ decompression and beating the others in compression speed by orders of
+ magnitudes, has by far the worst compression ratio.
+ It should be noted that the actual number of actually compressed blocks has not
+ been determined. A worse compression ratio can lead to more blocks being stored
+ uncompressed, reducing the workload and thus affecting decompression time.
- 2.3) What Test System was used?
+ However, since zstd has a better compression ratio than gzip, takes only 30% of
+ the time to decompress, and in the serial compression benchmark only takes 2%
+ of the time to compress, we cane safely say that in this benchmark, zstd beats
+ gzip by every metric.
- AMD Ryzen 7 3700X
- 32GiB DDR4 RAM
- Fedora 32
+ Furthermore, while XZ stands out as the compressor with the best compression
+ ratio, zstd only takes ~6% of the time to decompress the entire image, while
+ being ~17% bigger than XZ. Shaving off 17% is definitely signifficant,
+ especially considering that in absolute numbers it is in the 100MB range, but
+ it clearly comes at a substential performance cost.
- 2.4) What software version was used?
+ Also interesting are the results for the LZO compressor. Its compression speed
+ is between gzip and LZMA, decompression speed is about 50% of gzip, and only a
+ little bit worse than zstd, but its compression ratio is the second worst only
+ after LZ4, which beats it by a factor of 5 in decompression speed and by ~60
+ in compression speed.
- squashfs-tools-ng commit cc1141984a03da003e15ff229d3b417f8e5a24ad
+ Concluding, for applications where a good compression ratio is most imporant,
+ XZ is obviously the best choice, but if speed is favoured, zstd is probably a
+ very good option to go with. LZ4 is much faster, but has a lot worse
+ compression ratio. It is probably best suited as transparent compression for a
+ read/write file system or network protocols.
- 2.5) Results
- gzip 20.466s
- lz4 2.519s
- lzma 1m58.455s
- lzo 10.521s
- xz 1m59.451s
- zstd 7.833s
+ Finally, it should be noted, that this serial decompression benchmark is not
+ representative of a real-life workload where only a small set of files are
+ accessed in a random access fashion. In that case, a caching layer can largely
+ mitigate the decompression cost, translating it into an initial or only
+ occasionally occouring cache miss latency. But this benchmark should in theory
+ give an approximate idea how those cache miss latencies are expected to
+ compare between the different compressors.