Work

High-performance Two-level Parallel Computing Scheme for Nanoparticles Detection in Sem Images

Year: 2023

Type: article

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.

Source: The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

DOI: 10.5194/isprs-archives-xlviii-2-w3-2023-145-2023

Authors: M. Y. Kurbakov, V. V. Sulimova

Institution: Tula State University

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: Ministry of Science and Higher Education of the Russian Federation, Lomonosov Moscow State University

OpenAlex ID: W4376270602