High-Performance Two-Level Parallel Computing Scheme for Nanoparticles Detection in Sem Images

Abstract

Abstract. In our previous work, an exponential approximation (EA) method was proposed for the detection of nanoparticles in scanning electron microscope (SEM) images. It shows the best quality of nanoparticle detection compared to other methods. But its main drawback is that it takes a lot of time. In this paper, we propose a two-level parallel computing scheme and a corresponding high-performance python+MPI implementation of the EA method. Experiments have shown that the developed parallel implementation can significantly speed up the computational process.

Determining the orderliness of carbon materials with nanoparticle imaging and explainable machine learning

“…Detection of nanoparticles was performed based on a parallel algorithm proposed in our previous work. 57…”