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.

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 Regressionrodinia: OpenMP LavaMDdacapobench: Jythonbuild-linux-kernel: Time To Compileblender: BMW27 - CPU-Onlypybench: Total For Average Test Timesphpbench: PHP Benchmark 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.07485849.03125130949669520.51326545.5911694969523626.09483748.94125130549464720.34324645.3511694870228926.79485548.83125131149617120.63327445.4311694870323920.37326445.2011695270322420.33322745.5211694970209026.46484948.78124131149481820.33325445.5611694969873426.31482448.90125130849087820.55324245.6511695570293626.75483149.38125131249431020.75324745.3311794870085221.17324545.6211695270239720.51325245.18117947700999OpenBenchmarking.org

Rodinia

Test: OpenMP LavaMD

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenMP 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 +/- 0.01, N = 3SE +/- 0.30, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.35, N = 3SE +/- 0.31, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.28, N = 3SE +/- 0.05, N = 3SE +/- 0.29, N = 3SE +/- 0.32, N = 5SE +/- 0.21, N = 3SE +/- 0.27, N = 12SE +/- 0.37, N = 12SE +/- 0.21, N = 1126.0720.5126.0920.3426.7920.6320.3720.3326.4620.3326.3120.5526.7520.7521.1720.511. (CXX) g++ options: -O2 -lOpenCL

DaCapo Benchmark

Java Test: Jython

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: 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 +/- 13.87, N = 4SE +/- 12.66, N = 4SE +/- 11.87, N = 4SE +/- 19.65, N = 4SE +/- 42.18, N = 4SE +/- 9.39, N = 4SE +/- 6.87, N = 4SE +/- 12.50, N = 4SE +/- 25.91, N = 4SE +/- 14.07, N = 4SE +/- 24.56, N = 4SE +/- 9.81, N = 4SE +/- 9.08, N = 4SE +/- 8.51, N = 4SE +/- 22.68, N = 4SE +/- 13.04, N = 44858326548373246485532743264322748493254482432424831324732453252

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 4.18Time To 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 +/- 0.76, N = 5SE +/- 0.70, N = 5SE +/- 0.76, N = 4SE +/- 0.59, N = 6SE +/- 0.69, N = 6SE +/- 0.61, N = 6SE +/- 0.58, N = 7SE +/- 0.61, N = 6SE +/- 0.67, N = 6SE +/- 0.69, N = 5SE +/- 0.67, N = 6SE +/- 0.70, N = 5SE +/- 0.76, N = 5SE +/- 0.62, N = 6SE +/- 0.65, N = 5SE +/- 0.53, N = 849.0345.5948.9445.3548.8345.4345.2045.5248.7845.5648.9045.6549.3845.3345.6245.18

Blender

Blend File: BMW27 - Compute: CPU-Only

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

PyBench

Total For Average Test Times

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test 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 +/- 0.67, N = 3SE +/- 1.20, N = 3SE +/- 0.58, N = 3SE +/- 3.53, N = 3SE +/- 3.53, N = 3SE +/- 3.61, N = 3SE +/- 2.85, N = 3SE +/- 1.20, N = 3SE +/- 1.33, N = 3SE +/- 2.60, N = 3SE +/- 4.48, N = 3SE +/- 2.89, N = 3SE +/- 2.33, N = 3SE +/- 4.67, N = 3SE +/- 3.48, N = 3130994913059481311948952949131194913089551312948952947

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark 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 +/- 982.03, N = 3SE +/- 5003.94, N = 3SE +/- 1109.84, N = 3SE +/- 2131.07, N = 3SE +/- 704.30, N = 3SE +/- 561.50, N = 3SE +/- 1267.96, N = 3SE +/- 698.16, N = 3SE +/- 1381.43, N = 3SE +/- 4699.76, N = 3SE +/- 2717.98, N = 3SE +/- 1111.73, N = 3SE +/- 904.93, N = 3SE +/- 2692.64, N = 3SE +/- 1167.35, N = 3SE +/- 1789.98, N = 3496695695236494647702289496171703239703224702090494818698734490878702936494310700852702397700999

Phoronix Test Suite v10.8.4