Commit 14704da7 authored by Maxwell Cai's avatar Maxwell Cai
Browse files


parent 16453d6c
......@@ -249,7 +249,7 @@ The application codes that constitute the UEABS are:
- [QCD](#qcd)
- [Quantum Espresso](#espresso)
- [SPECFEM3D](#specfem3d)
- [TensorFlow](#tensorflow)
# ALYA <a name="alya"></a>
......@@ -482,17 +482,4 @@ QUANTUM ESPRESSO is written mostly in Fortran90, and parallelised using MPI and
| [- Website]( <br>[- Source]( <br>[- Bench]( <br>[- Summary]( | Geodynamics | Fortran & C | yes | yes | Yes (CUDA) | 100k Fortran & 20k C | The software package SPECFEM3D simulates three-dimensional global and regional seismic wave propagation based upon the spectral-element method (SEM). |
# TensorFlow <a name="tensorflow"></a>
TensorFlow ( is a popular open-source library for symbolic math and linear algebra, with particular optimization for neural-networks-based machine learning workflow. Maintained by Google, it is widely used for research and production in both the academia and the industry.
TensorFlow supports a wide variety of hardware platforms (CPUs, GPUs, TPUs), and can be scaled up to utilize multiple compute devices on a single or multiple compute nodes. The main objective of this benchmark is to profile the scaling behavior of TensorFlow on different hardware, and thereby provide a reference baseline of its performance for different sizes of applications.
There are many open-source datasets available for benchmarking TensorFlow, such as `mnist`, `fashion_mnist`, `cifar`, `imagenet`, and so on. This benchmark suite, however, would like to focus on a scientific research use case. `DeepGalaxy` is a code built with TensorFlow, which uses deep neural network to classify galaxy mergers in the Universe, observed by the Hubble Space Telescope and the Sloan Digital Sky Survey.
- Website:
- Code download:
- [Instruction](tensorflow/
- [Test Case A](tensorflow/Testcase_A/)
- [Test Case B](tensorflow/Testcase_B/)
- [Test Case C](tensorflow/Testcase_C/)
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