2022-11-27-0323 KVM testing on Debian 11 via the Phoronix Test Suite. ,,"Common KVM" Processor,,Common KVM (40 Cores) Motherboard,,QEMU Standard PC (i440FX + PIIX 1996) (rel-1.15.0-0-g2dd4b9b3f840-prebuilt.qemu.org BIOS) Chipset,,Intel 440FX 82441FX PMC Memory,,60GB Disk,,64GB QEMU HDD Graphics,,bochs-drmdrmfb Monitor,,QEMU Monitor Network,,Red Hat Virtio device OS,,Debian 11 Kernel,,5.10.0-19-amd64 (x86_64) Vulkan,,1.0.2 Compiler,,GCC 10.2.1 20210110 File-System,,ext4 Screen Resolution,,1024x768 System Layer,,KVM ,,"Common KVM" "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (GFInst/s)",HIB,133.698 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s)",HIB,5.348 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,167.777 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,6.711 "CloverLeaf - Lagrangian-Eulerian Hydrodynamics (sec)",LIB,84.26 "Rodinia - Test: OpenMP LavaMD (sec)",LIB,217.361 "Rodinia - Test: OpenMP Leukocyte (sec)",LIB,176.667 "Rodinia - Test: OpenMP CFD Solver (sec)",LIB,19.083 "Rodinia - Test: OpenMP Streamcluster (sec)",LIB,20.500 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,1.68134 "Dolfyn - Computational Fluid Dynamics (sec)",LIB,29.378 "FFTW - Build: Stock - Size: 1D FFT Size 32 (Mflops)",HIB,5500.0 "FFTW - Build: Stock - Size: 2D FFT Size 32 (Mflops)",HIB,5564.9 "FFTW - Build: Stock - Size: 1D FFT Size 4096 (Mflops)",HIB,4550.5 "FFTW - Build: Stock - Size: 2D FFT Size 4096 (Mflops)",HIB,3389.6 "FFTW - Build: Float + SSE - Size: 1D FFT Size 32 (Mflops)",HIB,9666.9 "FFTW - Build: Float + SSE - Size: 2D FFT Size 32 (Mflops)",HIB,17990 "FFTW - Build: Float + SSE - Size: 1D FFT Size 4096 (Mflops)",HIB,17520 "FFTW - Build: Float + SSE - Size: 2D FFT Size 4096 (Mflops)",HIB,10466.6 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,18.1241 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,14.3996 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,49.7334 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,86.7272 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB, "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB, "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,45.8635 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,104.4138 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,29.3763 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1190.10 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,137.537 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,57.3071 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,17503.0 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,8173.88 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,17832.1 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB, "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB, "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB, "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,8183.33 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,6.85221 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,18112.5 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,8095.32 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,22.3759 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,