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 miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 GFInst/s > Higher Is Better Common KVM . 133.70 |========================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Billion Interactions/s > Higher Is Better Common KVM . 5.348 |=========================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 GFInst/s > Higher Is Better Common KVM . 167.78 |========================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 Billion Interactions/s > Higher Is Better Common KVM . 6.711 |=========================================================== CloverLeaf Lagrangian-Eulerian Hydrodynamics Seconds < Lower Is Better Common KVM . 84.26 |=========================================================== Rodinia 3.1 Test: OpenMP LavaMD Seconds < Lower Is Better Common KVM . 217.36 |========================================================== Rodinia 3.1 Test: OpenMP Leukocyte Seconds < Lower Is Better Common KVM . 176.67 |========================================================== Rodinia 3.1 Test: OpenMP CFD Solver Seconds < Lower Is Better Common KVM . 19.08 |=========================================================== Rodinia 3.1 Test: OpenMP Streamcluster Seconds < Lower Is Better Common KVM . 20.50 |=========================================================== NAMD 2.14 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better Common KVM . 1.68134 |========================================================= Dolfyn 0.527 Computational Fluid Dynamics Seconds < Lower Is Better Common KVM . 29.38 |=========================================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 32 Mflops > Higher Is Better Common KVM . 5500.0 |========================================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 32 Mflops > Higher Is Better Common KVM . 5564.9 |========================================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 4096 Mflops > Higher Is Better Common KVM . 4550.5 |========================================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 4096 Mflops > Higher Is Better Common KVM . 3389.6 |========================================================== FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 32 Mflops > Higher Is Better Common KVM . 9666.9 |========================================================== FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 32 Mflops > Higher Is Better Common KVM . 17990 |=========================================================== FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 4096 Mflops > Higher Is Better Common KVM . 17520 |=========================================================== FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 4096 Mflops > Higher Is Better Common KVM . 10466.6 |========================================================= oneDNN 2.7 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better Common KVM . 18.12 |=========================================================== oneDNN 2.7 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better Common KVM . 14.40 |=========================================================== oneDNN 2.7 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Common KVM . 49.73 |=========================================================== oneDNN 2.7 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Common KVM . 86.73 |=========================================================== oneDNN 2.7 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better Common KVM . 45.86 |=========================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better Common KVM . 104.41 |========================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better Common KVM . 29.38 |=========================================================== oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Common KVM . 1190.10 |========================================================= oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Common KVM . 137.54 |========================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Common KVM . 57.31 |=========================================================== oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better Common KVM . 17503.0 |========================================================= oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better Common KVM . 8173.88 |========================================================= oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Common KVM . 17832.1 |========================================================= oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Common KVM . 8183.33 |========================================================= oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better Common KVM . 6.85221 |========================================================= oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better Common KVM . 18112.5 |========================================================= oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better Common KVM . 8095.32 |========================================================= oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Common KVM . 22.38 |=========================================================== oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better