saa Intel Core i9-13900K testing with a ASUS PRIME Z790-P WIFI (0812 BIOS) and AMD Radeon RX 6800 XT 16GB on Ubuntu 23.04 via the Phoronix Test Suite. a: Processor: Intel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (0812 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 6800 XT 16GB (2575/1000MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 23.04, Kernel: 6.2.0-20-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.0.2 (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160 b: Processor: Intel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (0812 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 6800 XT 16GB (2575/1000MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 23.04, Kernel: 6.2.0-20-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.0.2 (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160 c: Processor: Intel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (0812 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 6800 XT 16GB (2575/1000MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 23.04, Kernel: 6.2.0-20-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.0.2 (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160 d: Processor: Intel Core i9-13900K @ 5.50GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (0812 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 6800 XT 16GB (2575/1000MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 23.04, Kernel: 6.2.0-20-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.0.2 (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160 CP2K Molecular Dynamics 2023.1 Input: H20-64 Seconds < Lower Is Better a . 53.18 |=================================================================== b . 54.04 |==================================================================== c . 54.23 |==================================================================== CP2K Molecular Dynamics 2023.1 Input: H2O-DFT-LS Seconds < Lower Is Better CP2K Molecular Dynamics 2023.1 Input: Fayalite-FIST Seconds < Lower Is Better a . 106.10 |=================================================================== b . 106.30 |=================================================================== c . 97.15 |============================================================= GPAW 23.6 Input: Carbon Nanotube Seconds < Lower Is Better a . 191.83 |=================================================================== b . 190.55 |=================================================================== c . 190.10 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better a . 106.80 |=================================================================== b . 100.05 |=============================================================== c . 100.93 |=============================================================== d . 100.21 |=============================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256 GFLOP/s > Higher Is Better a . 27.75 |==================================================================== b . 27.63 |==================================================================== c . 27.72 |==================================================================== d . 27.73 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better a . 201.34 |=================================================================== b . 198.48 |================================================================== c . 202.00 |=================================================================== d . 196.36 |================================================================= HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256 GFLOP/s > Higher Is Better a . 53.71 |==================================================================== b . 53.49 |==================================================================== c . 53.56 |==================================================================== d . 53.52 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better a . 19.31 |==================================================================== b . 19.05 |=================================================================== c . 19.25 |==================================================================== d . 19.05 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256 GFLOP/s > Higher Is Better a . 14.09 |==================================================================== b . 14.09 |==================================================================== c . 14.10 |==================================================================== d . 14.03 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better a . 66.21 |==================================================================== b . 64.06 |================================================================== c . 60.40 |============================================================== d . 64.57 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: float - X Y Z: 256 GFLOP/s > Higher Is Better a . 27.68 |==================================================================== b . 27.63 |==================================================================== c . 27.70 |==================================================================== d . 27.69 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better a . 67.74 |==================================================================== b . 66.33 |=================================================================== c . 62.28 |=============================================================== d . 65.11 |================================================================= HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256 GFLOP/s > Higher Is Better a . 25.77 |==================================================================== b . 25.45 |=================================================================== c . 25.73 |==================================================================== d . 25.75 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better a . 120.39 |=================================================================== b . 120.36 |=================================================================== c . 120.07 |=================================================================== d . 120.92 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: float - X Y Z: 256 GFLOP/s > Higher Is Better a . 57.79 |================================================================== b . 57.32 |================================================================== c . 57.58 |================================================================== d . 59.16 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better a . 17.54 |==================================================================== b . 17.49 |==================================================================== c . 17.51 |==================================================================== d . 17.37 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: double - X Y Z: 256 GFLOP/s > Higher Is Better a . 14.05 |==================================================================== b . 14.01 |==================================================================== c . 14.09 |==================================================================== d . 14.03 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better a . 54.62 |==================================================================== b . 53.64 |=================================================================== c . 52.55 |================================================================= d . 53.41 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: double - X Y Z: 256 GFLOP/s > Higher Is Better a . 27.54 |==================================================================== b . 27.69 |==================================================================== c . 27.49 |==================================================================== d . 27.56 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 104.94 |=================================================================== b . 101.34 |================================================================= c . 93.14 |=========================================================== d . 100.17 |================================================================ HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 27.74 |==================================================================== b . 27.71 |==================================================================== c . 27.67 |==================================================================== d . 27.61 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 201.18 |=================================================================== b . 200.95 |=================================================================== c . 195.81 |================================================================= d . 196.53 |================================================================= HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 53.75 |==================================================================== b . 53.77 |==================================================================== c . 53.88 |==================================================================== d . 53.95 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 19.16 |==================================================================== b . 18.92 |=================================================================== c . 18.98 |=================================================================== d . 19.09 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 14.08 |==================================================================== b . 14.05 |==================================================================== c . 14.03 |==================================================================== d . 14.03 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 65.73 |==================================================================== b . 64.31 |=================================================================== c . 61.14 |=============================================================== d . 64.13 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 27.67 |==================================================================== b . 27.59 |==================================================================== c . 27.68 |==================================================================== d . 27.71 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 67.34 |==================================================================== b . 65.75 |================================================================== c . 63.05 |================================================================ d . 64.87 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 25.74 |==================================================================== b . 25.62 |==================================================================== c . 25.75 |==================================================================== d . 25.66 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 120.80 |=================================================================== b . 119.67 |================================================================== c . 118.54 |================================================================== d . 119.90 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 58.44 |=================================================================== b . 58.34 |=================================================================== c . 59.36 |==================================================================== d . 58.88 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 17.62 |==================================================================== b . 17.35 |=================================================================== c . 17.36 |=================================================================== d . 17.45 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 14.07 |==================================================================== b . 14.01 |==================================================================== c . 14.02 |==================================================================== d . 14.06 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 55.29 |==================================================================== b . 55.17 |==================================================================== c . 54.17 |=================================================================== d . 54.25 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 27.59 |==================================================================== b . 27.35 |=================================================================== c . 26.52 |================================================================= d . 27.14 |=================================================================== Monte Carlo Simulations of Ionised Nebulae 2.02.73.3 Input: Gas HII40 Seconds < Lower Is Better a . 12.58 |========================================================= b . 15.04 |==================================================================== c . 15.00 |==================================================================== Monte Carlo Simulations of Ionised Nebulae 2.02.73.3 Input: Dust 2D tau100.0 Seconds < Lower Is Better a . 89.62 |==================================================================== b . 90.14 |==================================================================== c . 89.41 |=================================================================== Palabos 2.3 Grid Size: 100 Mega Site Updates Per Second > Higher Is Better a . 89.12 |==================================================================== b . 88.66 |==================================================================== c . 88.63 |==================================================================== d . 88.97 |==================================================================== Palabos 2.3 Grid Size: 400 Mega Site Updates Per Second > Higher Is Better a . 128.83 |=================================================================== b . 128.69 |=================================================================== c . 128.82 |=================================================================== d . 128.87 |=================================================================== Palabos 2.3 Grid Size: 500 Mega Site Updates Per Second > Higher Is Better a . 134.08 |=================================================================== b . 134.05 |=================================================================== c . 134.24 |=================================================================== Palabos 2.3 Grid Size: 1000 Mega Site Updates Per Second > Higher Is Better