Linux 4.20 Bisected Regression

Intel Core i9-7980XE testing with a ASUS PRIME X299-A (1503 BIOS) and NV120 12GB on Ubuntu 18.10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/1811161-SK-LINUX420B53&grw&sor.

Linux 4.20 Bisected RegressionProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolutionda5322e65940e4e8426613a8ff3d99a08b350a5284df9525b0c27f3ebc2ebb1864fa62a97fdedb7dda19a102ce87bf3e0a7fe277a659d1fc35330d6d3f80e08f40cdb308589a49077c87632fa4508b2108ffb584d9eb17940321317ef6c9c7383ad4f149114b5f8f7efc036dd7dd16efb0f218a88e6c6c020200fbdd431519d730b5d399a12840ec832b27cc382d72a9aa525b56ab8453ce61751fa712414d3d44786880df196a4200c178945c4d41675faf9fb7f682a7920baf7b721d01dd317f3b532265357cbb034bda1cd5abbe7b170ce76b618768d164030bbdbcc4a62a73cb65327d7268fbfa3a786d603f52dc53c613fe6349994f023245519265999eed75957fbf904d2762ee6fc1e4acfcb0772bbfb4a27ad8a60cbb76d6285794f30953bfa3ab831714b59dd700dbfe2953f63c640463c630746cd5d9de8b2f63aeIntel Core i9-7980XE @ 4.20GHz (18 Cores / 36 Threads)ASUS PRIME X299-A (1503 BIOS)Intel Sky Lake-E DMI3 Registers16384MB240GB Force MP510NV120 12GBRealtek ALC1220ASUS PB278Intel ConnectionUbuntu 18.104.20.0-rc2-phoronix (x86_64) 20181116GNOME Shell 3.30.1X Server 1.20.1modesetting 1.20.14.3 Mesa 18.2.2GCC 8.2.0ext42560x14404.19.0-phoronix (x86_64)4.19.0-rc8-phoronix (x86_64) 201811164.19.0-phoronix (x86_64)4.19.0-rc6-phoronix (x86_64) 201811164.19.0-rc2-phoronix (x86_64) 20181116OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic --without-cuda-driver -vProcessor Details- Scaling Governor: intel_pstate powersavePython Details- Python 2.7.15+ + Python 3.6.7Security Details- da5322e65940e4e8426613a8ff3d99a08b350a52: KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW STIBP RSB filling + SSB disabled via prctl and seccomp + PTE Inversion; VMX: conditional cache flushes SMT vulnerable- 84df9525b0c27f3ebc2ebb1864fa62a97fdedb7d: KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp + PTE Inversion; VMX: conditional cache flushes SMT vulnerable- da19a102ce87bf3e0a7fe277a659d1fc35330d6d: KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW STIBP RSB filling + SSB disabled via prctl and seccomp + PTE Inversion; VMX: conditional cache flushes SMT vulnerable- 3f80e08f40cdb308589a49077c87632fa4508b21: KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp + PTE Inversion; VMX: conditional cache flushes SMT vulnerable- 08ffb584d9eb17940321317ef6c9c7383ad4f149: KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW STIBP RSB filling + SSB disabled via prctl and seccomp + PTE Inversion; VMX: conditional cache flushes SMT vulnerable- 114b5f8f7efc036dd7dd16efb0f218a88e6c6c02: KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp + PTE Inversion; VMX: conditional cache flushes SMT vulnerable- 0200fbdd431519d730b5d399a12840ec832b27cc: KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp + PTE Inversion; VMX: conditional cache flushes SMT vulnerable- 382d72a9aa525b56ab8453ce61751fa712414d3d: KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp + PTE Inversion; VMX: conditional cache flushes SMT vulnerable- 44786880df196a4200c178945c4d41675faf9fb7: KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW STIBP RSB filling + SSB disabled via prctl and seccomp + PTE Inversion; VMX: conditional cache flushes SMT vulnerable- f682a7920baf7b721d01dd317f3b532265357cbb: KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp + PTE Inversion; VMX: conditional cache flushes SMT vulnerable- 034bda1cd5abbe7b170ce76b618768d164030bbd: KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW STIBP RSB filling + SSB disabled via prctl and seccomp + PTE Inversion; VMX: conditional cache flushes SMT vulnerable- bcc4a62a73cb65327d7268fbfa3a786d603f52dc: KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp + PTE Inversion; VMX: conditional cache flushes SMT vulnerable- 53c613fe6349994f023245519265999eed75957f: KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW STIBP + SSB disabled via prctl and seccomp + PTE Inversion; VMX: conditional cache flushes SMT vulnerable- bf904d2762ee6fc1e4acfcb0772bbfb4a27ad8a6: KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp + PTE Inversion; VMX: conditional cache flushes SMT vulnerable- 0cbb76d6285794f30953bfa3ab831714b59dd700: KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp + PTE Inversion; VMX: conditional cache flushes SMT vulnerable- dbfe2953f63c640463c630746cd5d9de8b2f63ae: KPTI + __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp + PTE Inversion; VMX: conditional cache flushes SMT vulnerable

Linux 4.20 Bisected Regressiondacapobench: Jythonrodinia: OpenMP LavaMDbuild-linux-kernel: Time To Compileblender: BMW27 - CPU-Onlyphpbench: PHP Benchmark Suitepybench: Total For Average Test 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.0749.031254966951309326520.5145.59116695236949483726.0948.941254946471305324620.3445.35116702289948485526.7948.831254961711311327420.6345.43116703239948326420.3745.20116703224952322720.3345.52116702090949484926.4648.781244948181311325420.3345.56116698734949482426.3148.901254908781308324220.5545.65116702936955483126.7549.381254943101312324720.7545.33117700852948324521.1745.62116702397952325220.5145.18117700999947OpenBenchmarking.org

DaCapo Benchmark

Java Test: Jython

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: 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 +/- 12.50, N = 4SE +/- 9.81, N = 4SE +/- 22.68, N = 4SE +/- 19.65, N = 4SE +/- 8.51, N = 4SE +/- 13.04, N = 4SE +/- 14.07, N = 4SE +/- 6.87, N = 4SE +/- 12.66, N = 4SE +/- 9.39, N = 4SE +/- 24.56, N = 4SE +/- 9.08, N = 4SE +/- 11.87, N = 4SE +/- 25.91, N = 4SE +/- 42.18, N = 4SE +/- 13.87, N = 43227324232453246324732523254326432653274482448314837484948554858

Rodinia

Test: OpenMP LavaMD

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenMP 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 +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.30, N = 3SE +/- 0.21, N = 11SE +/- 0.32, N = 5SE +/- 0.31, N = 3SE +/- 0.27, N = 12SE +/- 0.37, N = 12SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.29, N = 3SE +/- 0.28, N = 3SE +/- 0.21, N = 3SE +/- 0.35, N = 320.3320.3320.3420.3720.5120.5120.5520.6320.7521.1726.0726.0926.3126.4626.7526.791. (CXX) g++ options: -O2 -lOpenCL

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 4.18Time To 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 +/- 0.53, N = 8SE +/- 0.58, N = 7SE +/- 0.62, N = 6SE +/- 0.59, N = 6SE +/- 0.61, N = 6SE +/- 0.61, N = 6SE +/- 0.69, N = 5SE +/- 0.70, N = 5SE +/- 0.65, N = 5SE +/- 0.70, N = 5SE +/- 0.67, N = 6SE +/- 0.69, N = 6SE +/- 0.67, N = 6SE +/- 0.76, N = 4SE +/- 0.76, N = 5SE +/- 0.76, N = 545.1845.2045.3345.3545.4345.5245.5645.5945.6245.6548.7848.8348.9048.9449.0349.38

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.79aBlend File: BMW27 - Compute: CPU-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

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark 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 +/- 561.50, N = 3SE +/- 1267.96, N = 3SE +/- 1111.73, N = 3SE +/- 1167.35, N = 3SE +/- 2131.07, N = 3SE +/- 698.16, N = 3SE +/- 1789.98, N = 3SE +/- 2692.64, N = 3SE +/- 4699.76, N = 3SE +/- 5003.94, N = 3SE +/- 982.03, N = 3SE +/- 704.30, N = 3SE +/- 1381.43, N = 3SE +/- 1109.84, N = 3SE +/- 904.93, N = 3SE +/- 2717.98, N = 3703239703224702936702397702289702090700999700852698734695236496695496171494818494647494310490878

PyBench

Total For Average Test Times

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test 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 +/- 3.48, N = 3SE +/- 3.53, N = 3SE +/- 2.33, N = 3SE +/- 1.20, N = 3SE +/- 2.85, N = 3SE +/- 1.33, N = 3SE +/- 3.61, N = 3SE +/- 4.67, N = 3SE +/- 4.48, N = 3SE +/- 0.58, N = 3SE +/- 2.60, N = 3SE +/- 0.67, N = 3SE +/- 3.53, N = 3SE +/- 1.20, N = 3SE +/- 2.89, N = 3947948948948949949949952952955130513081309131113111312

Phoronix Test Suite v10.8.4