Benchmark
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HPC Benchmark
| Name | Description |
|---|---|
| HPL-GPU | A custom benchmark to measure GPU performance on top of HPL packages by enabling CUDA so that the benchmark is able to use GPU.
There are lots of HPL-GPU on internet but no single site does not explain how to compile with background information. So we decide to start a single page how to compile HPL-GPU for someone who is interrest in. |
| HPL 2.3 | software package that solves a (random) dense linear system in double precision (64 bits) arithmetic on distributed-memory computers. It can thus be regarded as a portable as well as freely available implementation of the High Performance Computing Linpack Benchmark[1]
High Performance Linpack tag: nvcr.io/nvidia/hpc-benchmarks:21.4-hpl |
| HPCG 3.1 | High Performance Conjugate Gradient solver tag: nvcr.io/nvidia/hpc-benchmarks:21.4-hpcg3.1 |
| NAMD 3.0a11 | Molecular Dynamics tag: nvcr.io/hpc/namd:3.0-alpha11 |
| LAMMPS | Molecular Dynamics tag: nvcr.io/hpc/lammps:patch_4May2022 |
| TensorFlow 1.15.5 | ML/AI framework tag: nvcr.io/nvidia/tensorflow:22.09-tf1-py3 |
| PyTorch 1.13.0a0 | ML/AI framework tag: nvcr.io/nvidia/pytorch:22.09-py3 |
| NVIDIA HPC-Benchmarks[2] | The hpc-benchmarks:23.5 container image is provided with the following packages embedded:
*NVIDIA's HPL benchmark requires GRDCopy installed on the system, https://github.com/NVIDIA/gdrcopy#build-and-installation for more information for install GRDCopy *GDRCopy supports Quadro- and Tesla-class GPUs only[3] |