svc05_hpc_run_1_23-09-22
v1.59
Samsung SSD 980 PRO 1TB
Processor: AMD Ryzen Threadripper PRO 5995WX 64-Cores @ 2.70GHz (64 Cores), Motherboard: ASRock WRX80 Creator (5.01 BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 1000GB Samsung SSD 980 PRO 1TB, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Network: 2 x Intel X710 for 10GBASE-T + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 22.04, Kernel: 6.2.0-33-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.3, OpenGL: 4.5 Mesa 23.0.4-0ubuntu1~22.04.1 (LLVM 15.0.7 256 bits), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1024x768
Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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-build-config=bootstrap-lto-lean --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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa008204
Python Notes: Python 3.10.12
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
IOR
IOR is a parallel I/O storage benchmark making use of MPI with a particular focus on HPC (High Performance Computing) systems. IOR is developed at the Lawrence Livermore National Laboratory (LLNL). Learn more via the OpenBenchmarking.org test page.
Darmstadt Automotive Parallel Heterogeneous Suite
DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.
IOR
IOR is a parallel I/O storage benchmark making use of MPI with a particular focus on HPC (High Performance Computing) systems. IOR is developed at the Lawrence Livermore National Laboratory (LLNL). Learn more via the OpenBenchmarking.org test page.
Darmstadt Automotive Parallel Heterogeneous Suite
DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.
Graph500
This is a benchmark of the reference implementation of Graph500, an HPC benchmark focused on data intensive loads and commonly tested on supercomputers for complex data problems. Graph500 primarily stresses the communication subsystem of the hardware under test. Learn more via the OpenBenchmarking.org test page.
Scale: 29
Samsung SSD 980 PRO 1TB: The test quit with a non-zero exit status. E: mpirun noticed that process rank 28 with PID 0 on node incooling-desktop exited on signal 9 (Killed).
HPL Linpack
HPL is a well known portable Linpack implementation for distributed memory systems. This test profile is testing HPL upstream directly, outside the scope of the HPC Challenge test profile also available through the Phoronix Test Suite (hpcc). The test profile attempts to generate an optimized HPL.dat input file based on the CPU/memory under test. The automated HPL.dat input generation is still being tuned and thus for now this test profile remains "experimental". Learn more via the OpenBenchmarking.org test page.
miniBUDE
MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.
nekRS
nekRS is an open-source Navier Stokes solver based on the spectral element method. NekRS supports both CPU and GPU/accelerator support though this test profile is currently configured for CPU execution. NekRS is part of Nek5000 of the Mathematics and Computer Science MCS at Argonne National Laboratory. This nekRS benchmark is primarily relevant to large core count HPC servers and otherwise may be very time consuming on smaller systems. Learn more via the OpenBenchmarking.org test page.
OpenRadioss
Model: INIVOL and Fluid Structure Interaction Drop Container
Samsung SSD 980 PRO 1TB: 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: ** ERROR: INPUT FILE /fsi_drop_container_0001. NOT FOUND
HeFFTe - Highly Efficient FFT for Exascale
HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.
RELION
RELION - REgularised LIkelihood OptimisatioN - is a stand-alone computer program for Maximum A Posteriori refinement of (multiple) 3D reconstructions or 2D class averages in cryo-electron microscopy (cryo-EM). It is developed in the research group of Sjors Scheres at the MRC Laboratory of Molecular Biology. Learn more via the OpenBenchmarking.org test page.
WRF
WRF, the Weather Research and Forecasting Model, is a "next-generation mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications. It features two dynamical cores, a data assimilation system, and a software architecture supporting parallel computation and system extensibility." Learn more via the OpenBenchmarking.org test page.
FFTW
FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Timed HMMer Search
This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.
Timed MAFFT Alignment
This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.
Timed MrBayes Analysis
This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.
Himeno Benchmark
The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.
TensorFlow
This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.
HeFFTe - Highly Efficient FFT for Exascale
HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.
TensorFlow
This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.
HeFFTe - Highly Efficient FFT for Exascale
HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.
TensorFlow
This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.
HeFFTe - Highly Efficient FFT for Exascale
HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.
TensorFlow
This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.
Laghos
Laghos (LAGrangian High-Order Solver) is a miniapp that solves the time-dependent Euler equations of compressible gas dynamics in a moving Lagrangian frame using unstructured high-order finite element spatial discretization and explicit high-order time-stepping. Learn more via the OpenBenchmarking.org test page.
libxsmm
Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.
Laghos
Laghos (LAGrangian High-Order Solver) is a miniapp that solves the time-dependent Euler equations of compressible gas dynamics in a moving Lagrangian frame using unstructured high-order finite element spatial discretization and explicit high-order time-stepping. Learn more via the OpenBenchmarking.org test page.
libxsmm
Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.
TensorFlow
This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.
HeFFTe - Highly Efficient FFT for Exascale
HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.
TensorFlow
This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.
PlaidML
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: VGG16 - Device: CPU
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)
HeFFTe - Highly Efficient FFT for Exascale
HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.
PlaidML
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: ResNet 50 - Device: CPU
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)
HeFFTe - Highly Efficient FFT for Exascale
HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.
libxsmm
Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.
HeFFTe - Highly Efficient FFT for Exascale
HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.
LeelaChessZero
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.
HeFFTe - Highly Efficient FFT for Exascale
HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.
Numenta Anomaly Benchmark
Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.
HeFFTe - Highly Efficient FFT for Exascale
HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.
Numenta Anomaly Benchmark
Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.
HeFFTe - Highly Efficient FFT for Exascale
HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.
Palabos
The Palabos library is a framework for general purpose Computational Fluid Dynamics (CFD). Palabos uses a kernel based on the Lattice Boltzmann method. This test profile uses the Palabos MPI-based Cavity3D benchmark. Learn more via the OpenBenchmarking.org test page.
Numenta Anomaly Benchmark
Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.
Scikit-Learn
Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.
Benchmark: GLM
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Benchmark: SAGA
Samsung SSD 980 PRO 1TB: 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: ModuleNotFoundError: No module named 'sklearn.utils.parallel'
Benchmark: Tree
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Benchmark: Lasso
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Palabos
The Palabos library is a framework for general purpose Computational Fluid Dynamics (CFD). Palabos uses a kernel based on the Lattice Boltzmann method. This test profile uses the Palabos MPI-based Cavity3D benchmark. Learn more via the OpenBenchmarking.org test page.
Scikit-Learn
Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.
Benchmark: Glmnet
Samsung SSD 980 PRO 1TB: 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: ModuleNotFoundError: No module named 'glmnet'
Benchmark: Plot Ward
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
HeFFTe - Highly Efficient FFT for Exascale
HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.
Palabos
The Palabos library is a framework for general purpose Computational Fluid Dynamics (CFD). Palabos uses a kernel based on the Lattice Boltzmann method. This test profile uses the Palabos MPI-based Cavity3D benchmark. Learn more via the OpenBenchmarking.org test page.
Scikit-Learn
Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.
Benchmark: MNIST Dataset
Samsung SSD 980 PRO 1TB: 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: TypeError: fetch_openml() got an unexpected keyword argument 'parser'
Benchmark: Plot Neighbors
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Palabos
The Palabos library is a framework for general purpose Computational Fluid Dynamics (CFD). Palabos uses a kernel based on the Lattice Boltzmann method. This test profile uses the Palabos MPI-based Cavity3D benchmark. Learn more via the OpenBenchmarking.org test page.
Grid Size: 4000
Samsung SSD 980 PRO 1TB: 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.
Scikit-Learn
Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.
Benchmark: SGD Regression
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Benchmark: SGDOneClassSVM
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'SGDOneClassSVM' from 'sklearn.linear_model' (/usr/lib/python3/dist-packages/sklearn/linear_model/__init__.py)
Benchmark: Plot Lasso Path
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Benchmark: Isolation Forest
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Benchmark: Plot Fast KMeans
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Benchmark: Plot Hierarchical
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Benchmark: Plot OMP vs. LARS
Samsung SSD 980 PRO 1TB: 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: TypeError: make_sparse_coded_signal() got an unexpected keyword argument 'data_transposed'
Benchmark: Feature Expansions
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Benchmark: LocalOutlierFactor
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Benchmark: TSNE MNIST Dataset
Samsung SSD 980 PRO 1TB: 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: TypeError: fetch_openml() got an unexpected keyword argument 'parser'
Benchmark: Isotonic / Logistic
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Benchmark: Plot Incremental PCA
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Benchmark: Hist Gradient Boosting
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Benchmark: Plot Parallel Pairwise
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Benchmark: Isotonic / Pathological
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Benchmark: RCV1 Logreg Convergencet
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Benchmark: Sample Without Replacement
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Benchmark: Hist Gradient Boosting Adult
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'HistGradientBoostingClassifier' from 'sklearn.ensemble' (/usr/lib/python3/dist-packages/sklearn/ensemble/__init__.py)
Benchmark: Isotonic / Perturbed Logarithm
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
SPECFEM3D
simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.
Remhos
Remhos (REMap High-Order Solver) is a miniapp that solves the pure advection equations that are used to perform monotonic and conservative discontinuous field interpolation (remap) as part of the Eulerian phase in Arbitrary Lagrangian Eulerian (ALE) simulations. Learn more via the OpenBenchmarking.org test page.
Scikit-Learn
Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.
Benchmark: Hist Gradient Boosting Threading
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'HistGradientBoostingRegressor' from 'sklearn.ensemble' (/usr/lib/python3/dist-packages/sklearn/ensemble/__init__.py)
Benchmark: Plot Singular Value Decomposition
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Benchmark: Hist Gradient Boosting Higgs Boson
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'HistGradientBoostingClassifier' from 'sklearn.ensemble' (/usr/lib/python3/dist-packages/sklearn/ensemble/__init__.py)
Benchmark: Plot Polynomial Kernel Approximation
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Benchmark: Plot Non-Negative Matrix Factorization
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Benchmark: Hist Gradient Boosting Categorical Only
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'HistGradientBoostingClassifier' from 'sklearn.ensemble' (/usr/lib/python3/dist-packages/sklearn/ensemble/__init__.py)
Benchmark: Kernel PCA Solvers / Time vs. N Samples
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
Benchmark: Kernel PCA Solvers / Time vs. N Components
Samsung SSD 980 PRO 1TB: 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: ImportError: cannot import name 'docstring' from 'matplotlib' (/home/incooling/.local/lib/python3.10/site-packages/matplotlib/__init__.py)
R Benchmark
This test is a quick-running survey of general R performance Learn more via the OpenBenchmarking.org test page.
Numpy Benchmark
This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.
HPC Challenge
HPC Challenge (HPCC) is a cluster-focused benchmark consisting of the HPL Linpack TPP benchmark, DGEMM, STREAM, PTRANS, RandomAccess, FFT, and communication bandwidth and latency. This HPC Challenge test profile attempts to ship with standard yet versatile configuration/input files though they can be modified. Learn more via the OpenBenchmarking.org test page.
CloverLeaf
CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm.in input file (Problem 5). Learn more via the OpenBenchmarking.org test page.
Dolfyn
Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.
GNU Octave Benchmark
This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page.
DeepSpeech
Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.
RNNoise
RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.
AI Benchmark Alpha
AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.
ECP-CANDLE
The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.
Benchmark: P1B2
Samsung SSD 980 PRO 1TB: The test quit with a non-zero exit status. E: ValueError: decay is deprecated in the new Keras optimizer, please check the docstring for valid arguments, or use the legacy optimizer, e.g., tf.keras.optimizers.legacy.RMSprop.
Benchmark: P3B1
Samsung SSD 980 PRO 1TB: The test quit with a non-zero exit status. E: ValueError: decay is deprecated in the new Keras optimizer, please check the docstring for valid arguments, or use the legacy optimizer, e.g., tf.keras.optimizers.legacy.SGD.
Benchmark: P3B2
Samsung SSD 980 PRO 1TB: The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'bool'.
Mobile Neural Network
MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.
Neural Magic DeepSparse
ONNX Runtime
ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.
Model: GPT-2 - Device: CPU - Executor: Parallel
Samsung SSD 980 PRO 1TB: 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: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: GPT-2 - Device: CPU - Executor: Standard
Samsung SSD 980 PRO 1TB: 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: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: yolov4 - Device: CPU - Executor: Parallel
Samsung SSD 980 PRO 1TB: 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: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: yolov4 - Device: CPU - Executor: Standard
Samsung SSD 980 PRO 1TB: 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: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: bertsquad-12 - Device: CPU - Executor: Parallel
Samsung SSD 980 PRO 1TB: 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: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
IOR
IOR is a parallel I/O storage benchmark making use of MPI with a particular focus on HPC (High Performance Computing) systems. IOR is developed at the Lawrence Livermore National Laboratory (LLNL). Learn more via the OpenBenchmarking.org test page.
Neural Magic DeepSparse
ONNX Runtime
ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.
Model: bertsquad-12 - Device: CPU - Executor: Standard
Samsung SSD 980 PRO 1TB: 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: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel
Samsung SSD 980 PRO 1TB: 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: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard
Samsung SSD 980 PRO 1TB: 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: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel
Samsung SSD 980 PRO 1TB: 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: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: fcn-resnet101-11 - Device: CPU - Executor: Standard
Samsung SSD 980 PRO 1TB: 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: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel
Samsung SSD 980 PRO 1TB: 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: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard
Samsung SSD 980 PRO 1TB: 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: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel
Samsung SSD 980 PRO 1TB: 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: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard
Samsung SSD 980 PRO 1TB: 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: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: super-resolution-10 - Device: CPU - Executor: Parallel
Samsung SSD 980 PRO 1TB: 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: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: super-resolution-10 - Device: CPU - Executor: Standard
Samsung SSD 980 PRO 1TB: 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: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel
Samsung SSD 980 PRO 1TB: 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: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard
Samsung SSD 980 PRO 1TB: 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: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
OpenCV
This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
spaCy
The spaCy library is an open-source solution for advanced neural language processing (NLP). The spaCy library leverages Python and is a leading neural language processing solution. This test profile times the spaCy CPU performance with various models. Learn more via the OpenBenchmarking.org test page.
TensorFlow Lite
This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.
IOR
IOR is a parallel I/O storage benchmark making use of MPI with a particular focus on HPC (High Performance Computing) systems. IOR is developed at the Lawrence Livermore National Laboratory (LLNL). Learn more via the OpenBenchmarking.org test page.
TensorFlow Lite
This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.
TNN
TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Whisper.cpp
Whisper.cpp is a port of OpenAI's Whisper model in C/C++. Whisper.cpp is developed by Georgi Gerganov for transcribing WAV audio files to text / speech recognition. Whisper.cpp supports ARM NEON, x86 AVX, and other advanced CPU features. Learn more via the OpenBenchmarking.org test page.
Caffe
This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
NCNN
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.
Mlpack Benchmark
Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.
GROMACS
The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.
LAMMPS Molecular Dynamics Simulator
LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.
High Performance Conjugate Gradient
HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.
X Y Z: 192 192 192 - RT: 60
Samsung SSD 980 PRO 1TB: 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: cat: 'HPCG-Benchmark*.txt': No such file or directory
X Y Z: 192 192 192 - RT: 1800
Samsung SSD 980 PRO 1TB: 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: cat: 'HPCG-Benchmark*.txt': No such file or directory
Parboil
The Parboil Benchmarks from the IMPACT Research Group at University of Illinois are a set of throughput computing applications for looking at computing architecture and compilers. Parboil test-cases support OpenMP, OpenCL, and CUDA multi-processing environments. However, at this time the test profile is just making use of the OpenMP and OpenCL test workloads. Learn more via the OpenBenchmarking.org test page.
Test: OpenMP MRI-Q
Samsung SSD 980 PRO 1TB: 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: main.c:(.text.startup+0x20c): undefined reference to `ComputeQCPU'
NAS Parallel Benchmarks
NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
Rodinia
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.
NAMD
NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.
oneDNN
This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
PETSc
PETSc, the Portable, Extensible Toolkit for Scientific Computation, is for the scalable (parallel) solution of scientific applications modeled by partial differential equations. This test profile runs the PETSc "make streams" benchmark and records the throughput rate when all available cores are utilized for the MPI Streams build. Learn more via the OpenBenchmarking.org test page.
oneDNN
This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
OpenVINO
This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Faiss
Faiss is developed by Meta/Facebook. Faiss is a library for efficient similarity search and clustering of dense vectors. Learn more via the OpenBenchmarking.org test page.
Test: demo_sift1M
Samsung SSD 980 PRO 1TB: 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: ./faiss: line 3: ./demos/demo_sift1M: No such file or directory
OpenVINO
This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Faiss
Faiss is developed by Meta/Facebook. Faiss is a library for efficient similarity search and clustering of dense vectors. Learn more via the OpenBenchmarking.org test page.
OpenVINO
This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
ASKAP
ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.
Intel MPI Benchmarks
Intel MPI Benchmarks for stressing MPI implementations. At this point the test profile aggregates results for some common MPI functionality. Learn more via the OpenBenchmarking.org test page.
ArrayFire
ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.
ACES DGEMM
This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.
Pennant
Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.
Algebraic Multi-Grid Benchmark
AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.
PyHPC Benchmarks
PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.
Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: JAX - Project Size: 65536 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: JAX - Project Size: 65536 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: JAX - Project Size: 262144 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: JAX - Project Size: 262144 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: Numba - Project Size: 65536 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: Numba - Project Size: 65536 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: Aesara - Project Size: 65536 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: Aesara - Project Size: 65536 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: Numba - Project Size: 262144 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: Numba - Project Size: 262144 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: TensorFlow - Project Size: 16384 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: TensorFlow - Project Size: 16384 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: TensorFlow - Project Size: 65536 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: TensorFlow - Project Size: 65536 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: TensorFlow - Project Size: 262144 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: TensorFlow - Project Size: 262144 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Equation of State
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Isoneutral Mixing
Samsung SSD 980 PRO 1TB: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
FFTE
FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.
Kripke
Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.
Nebular Empirical Analysis Tool
NEAT is the Nebular Empirical Analysis Tool for empirical analysis of ionised nebulae, with uncertainty propagation. Learn more via the OpenBenchmarking.org test page.
LULESH
LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.
NWChem
NWChem is an open-source high performance computational chemistry package. Per NWChem's documentation, "NWChem aims to provide its users with computational chemistry tools that are scalable both in their ability to treat large scientific computational chemistry problems efficiently, and in their use of available parallel computing resources from high-performance parallel supercomputers to conventional workstation clusters." Learn more via the OpenBenchmarking.org test page.
OpenFOAM
OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.
Monte Carlo Simulations of Ionised Nebulae
Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.
Input: Gas HII40
Samsung SSD 980 PRO 1TB: 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: Backtrace for this error:
QMCPACK
QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.
miniFE
MiniFE Finite Element is an application for unstructured implicit finite element codes. Learn more via the OpenBenchmarking.org test page.
Problem Size: Large
Samsung SSD 980 PRO 1TB: 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: cat: '*.yaml': No such file or directory
Problem Size: Medium
Samsung SSD 980 PRO 1TB: 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: on the y==0 face (ix=2112, iz=1984), ERROR: found negative row (-99) for nodeID=-131072
Xcompact3d Incompact3d
Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.
GPAW
GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.
Quantum ESPRESSO
Quantum ESPRESSO is an integrated suite of Open-Source computer codes for electronic-structure calculations and materials modeling at the nanoscale. It is based on density-functional theory, plane waves, and pseudopotentials. Learn more via the OpenBenchmarking.org test page.
CP2K Molecular Dynamics
CP2K is an open-source molecular dynamics software package focused on quantum chemistry and solid-state physics. More details on the CP2K benchmark test cases and details can be found @ https://www.cp2k.org/performance Learn more via the OpenBenchmarking.org test page.
Input: H2O-DFT-LS
Samsung SSD 980 PRO 1TB: The test quit with a non-zero exit status. E: mpirun noticed that process rank 25 with PID 0 on node incooling-desktop exited on signal 9 (Killed).
Samsung SSD 980 PRO 1TB
Processor: AMD Ryzen Threadripper PRO 5995WX 64-Cores @ 2.70GHz (64 Cores), Motherboard: ASRock WRX80 Creator (5.01 BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 1000GB Samsung SSD 980 PRO 1TB, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Network: 2 x Intel X710 for 10GBASE-T + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 22.04, Kernel: 6.2.0-33-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.3, OpenGL: 4.5 Mesa 23.0.4-0ubuntu1~22.04.1 (LLVM 15.0.7 256 bits), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1024x768
Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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-build-config=bootstrap-lto-lean --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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa008204
Python Notes: Python 3.10.12
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 22 September 2023 15:31 by user ooling.