KVM testing on Ubuntu 24.04 via the Phoronix Test Suite.
Processor: 2 x Intel Xeon Gold 6226R @ 3.90GHz (32 Cores / 64 Threads), Motherboard: (5.14 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 512GB, Disk: 2 x 8002GB INTEL SSDPE2KX080T8, Graphics: ASPEED 16GB, Audio: NVIDIA GA104 HD Audio, Monitor: 27B2G5, Network: 2 x Intel X722 for 1GbE + 2 x Broadcom BCM57414 NetXtreme-E 10Gb/25Gb
OS: Ubuntu 24.04, Kernel: 6.8.0-38-generic (x86_64), Display Server: X Server, Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.4.131, Compiler: GCC 13.2.0 + CUDA 12.4, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --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=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x5003605
Graphics Notes: BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 94.04.57.00.08
Python Notes: Python 3.8.13
Security Notes: gather_data_sampling: Mitigation of Microcode + itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + reg_file_data_sampling: Not affected + retbleed: Mitigation of Enhanced IBRS + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: SW sequence; BHI: SW loop KVM: SW loop + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled
Processor: 4 x Intel Xeon E7-4880 v2 (60 Cores / 120 Threads), Motherboard: QEMU Standard PC (Q35 + ICH9 2009) (edk2-20240813-1.fc40 BIOS), Chipset: Intel 82G33/G31/P35/P31 + ICH9, Memory: 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 4 GB RAM, Disk: 21GB VIRTUAL-DISK, Graphics: Red Hat QXL paravirtual graphic card 22GB, Audio: QEMU Generic, Network: 2 x Red Hat Virtio 1.0 device
OS: Ubuntu 24.04, Kernel: 6.8.0-45-generic (x86_64), Display Server: X Server, Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.4.131, Compiler: GCC 13.2.0 + CUDA 12.0, File-System: ext4, Screen Resolution: 1024x768, System Layer: KVM
Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --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=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: CPU Microcode: 0x715
Graphics Notes: BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 94.02.6d.00.0d
Python Notes: Python 3.12.3
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Mitigation of PTE Inversion; VMX: flush not necessary SMT vulnerable + mds: Mitigation of Clear buffers; SMT Host state unknown + meltdown: Mitigation of PTI + mmio_stale_data: Unknown: No mitigations + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines; IBPB: conditional; IBRS_FW; STIBP: conditional; RSB filling; PBRSB-eIBRS: Not affected; BHI: Retpoline + srbds: Not affected + tsx_async_abort: Not affected
NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.
A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.
A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.
LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.
A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.
LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.
Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.
ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.
Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.
ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.
FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.
FAHBench is a Folding@Home benchmark on the GPU. Learn more via the OpenBenchmarking.org test page.
ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.
A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.
ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.
Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page.
ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.
A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.
ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.
Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.
This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.
FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL
5x A5000 kw-dl580-3-4 NVIDIA: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'
FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL
5x A5000 kw-dl580-3-4 NVIDIA: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'
FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL
5x A5000 kw-dl580-3-4 NVIDIA: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'
FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL
5x A5000 kw-dl580-3-4 NVIDIA: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'
The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.
Target: OpenCL - Benchmark: Texture Read Bandwidth
5x A5000 kw-dl580-3-4 NVIDIA: The test quit with a non-zero exit status. E: ./shoc: 3: ./bin/shocdriver: not found
Target: OpenCL - Benchmark: Bus Speed Readback
5x A5000 kw-dl580-3-4 NVIDIA: The test quit with a non-zero exit status. E: ./shoc: 3: ./bin/shocdriver: not found
Target: OpenCL - Benchmark: Bus Speed Download
5x A5000 kw-dl580-3-4 NVIDIA: The test quit with a non-zero exit status. E: ./shoc: 3: ./bin/shocdriver: not found
Target: OpenCL - Benchmark: Max SP Flops
5x A5000 kw-dl580-3-4 NVIDIA: The test quit with a non-zero exit status. E: ./shoc: 3: ./bin/shocdriver: not found
Target: OpenCL - Benchmark: GEMM SGEMM_N
5x A5000 kw-dl580-3-4 NVIDIA: The test quit with a non-zero exit status. E: ./shoc: 3: ./bin/shocdriver: not found
Target: OpenCL - Benchmark: Reduction
5x A5000 kw-dl580-3-4 NVIDIA: The test quit with a non-zero exit status. E: ./shoc: 3: ./bin/shocdriver: not found
Target: OpenCL - Benchmark: MD5 Hash
5x A5000 kw-dl580-3-4 NVIDIA: The test quit with a non-zero exit status. E: ./shoc: 3: ./bin/shocdriver: not found
Target: OpenCL - Benchmark: FFT SP
5x A5000 kw-dl580-3-4 NVIDIA: The test quit with a non-zero exit status. E: ./shoc: 3: ./bin/shocdriver: not found
Target: OpenCL - Benchmark: Triad
5x A5000 kw-dl580-3-4 NVIDIA: The test quit with a non-zero exit status. E: ./shoc: 3: ./bin/shocdriver: not found
Target: OpenCL - Benchmark: S3D
5x A5000 kw-dl580-3-4 NVIDIA: The test quit with a non-zero exit status. E: ./shoc: 3: ./bin/shocdriver: not found
NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
NeatBench is a benchmark of the cross-platform Neat Video software on the CPU and optional GPU (OpenCL / CUDA) support. Learn more via the OpenBenchmarking.org test page.
Acceleration: GPU
ASPEED - 2 x Intel Xeon Gold 6226R: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
5x A5000 kw-dl580-3-4 NVIDIA: The test run did not produce a result.
MandelGPU is an OpenCL benchmark and this test runs with the OpenCL rendering float4 kernel with a maximum of 4096 iterations. Learn more via the OpenBenchmarking.org test page.
OpenCL Device: GPU
ASPEED - 2 x Intel Xeon Gold 6226R: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.
5x A5000 kw-dl580-3-4 NVIDIA: The test quit with a non-zero exit status.
This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.
FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL
ASPEED - 2 x Intel Xeon Gold 6226R: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.
5x A5000 kw-dl580-3-4 NVIDIA: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'
NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.
Test: Conjugate Gradient OpenCL
ASPEED - 2 x Intel Xeon Gold 6226R: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result. E: ./arrayfire: 7: ./cg_opencl: not found
5x A5000 kw-dl580-3-4 NVIDIA: The test run did not produce a result. E: ./arrayfire: 7: ./cg_opencl: not found
LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.
LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.
Backend: OpenCL
ASPEED - 2 x Intel Xeon Gold 6226R: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./lczero: line 4: ./lc0: No such file or directory
5x A5000 kw-dl580-3-4 NVIDIA: The test quit with a non-zero exit status. E: ./lczero: line 4: ./lc0: No such file or directory
This is a test of MAXON's RedShift demo build that currently requires NVIDIA GPU acceleration. Learn more via the OpenBenchmarking.org test page.
ASPEED - 2 x Intel Xeon Gold 6226R: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./redshift: 3: /usr/redshift/bin/redshiftBenchmark: not found
5x A5000 kw-dl580-3-4 NVIDIA: The test quit with a non-zero exit status. E: ./redshift: 3: /usr/redshift/bin/redshiftBenchmark: not found
Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page.
Processor: 2 x Intel Xeon Gold 6226R @ 3.90GHz (32 Cores / 64 Threads), Motherboard: (5.14 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 512GB, Disk: 2 x 8002GB INTEL SSDPE2KX080T8, Graphics: ASPEED 16GB, Audio: NVIDIA GA104 HD Audio, Monitor: 27B2G5, Network: 2 x Intel X722 for 1GbE + 2 x Broadcom BCM57414 NetXtreme-E 10Gb/25Gb
OS: Ubuntu 24.04, Kernel: 6.8.0-38-generic (x86_64), Display Server: X Server, Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.4.131, Compiler: GCC 13.2.0 + CUDA 12.4, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --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=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x5003605
Graphics Notes: BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 94.04.57.00.08
Python Notes: Python 3.8.13
Security Notes: gather_data_sampling: Mitigation of Microcode + itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + reg_file_data_sampling: Not affected + retbleed: Mitigation of Enhanced IBRS + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: SW sequence; BHI: SW loop KVM: SW loop + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled
Testing initiated at 19 July 2024 23:42 by user malogica.
Processor: 4 x Intel Xeon E7-4880 v2 (60 Cores / 120 Threads), Motherboard: QEMU Standard PC (Q35 + ICH9 2009) (edk2-20240813-1.fc40 BIOS), Chipset: Intel 82G33/G31/P35/P31 + ICH9, Memory: 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 4 GB RAM, Disk: 21GB VIRTUAL-DISK, Graphics: Red Hat QXL paravirtual graphic card 22GB, Audio: QEMU Generic, Network: 2 x Red Hat Virtio 1.0 device
OS: Ubuntu 24.04, Kernel: 6.8.0-45-generic (x86_64), Display Server: X Server, Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.4.131, Compiler: GCC 13.2.0 + CUDA 12.0, File-System: ext4, Screen Resolution: 1024x768, System Layer: KVM
Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --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=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: CPU Microcode: 0x715
Graphics Notes: BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 94.02.6d.00.0d
Python Notes: Python 3.12.3
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Mitigation of PTE Inversion; VMX: flush not necessary SMT vulnerable + mds: Mitigation of Clear buffers; SMT Host state unknown + meltdown: Mitigation of PTI + mmio_stale_data: Unknown: No mitigations + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines; IBPB: conditional; IBRS_FW; STIBP: conditional; RSB filling; PBRSB-eIBRS: Not affected; BHI: Retpoline + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 7 October 2024 22:58 by user root.