Multiprocessing implementation for MCNP using Python

Sazali, Muhammad Arif; Sarkawi, Muhammad Syahir; Ali, Nur Syazwani Mohd

doi:10.1088/1757-899x/1231/1/012003

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…Multi-processing is the ability of a system to support more than one processor at the same time [33]. A program that uses multi-processing will be broken down into smaller routines that run independently.…”

Section: E Multi-processingmentioning

confidence: 99%

Evaluating Web Scraping Performance Using XPath, CSS Selector, Regular Expression, and HTML DOM With Multiprocessing Technical Applications

Darmawan

Maulana²,

Gunawan³

et al. 2022

JOIV : Int. J. Inform. Visualization

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Data collection has become a necessity today, especially since many sources of data on the internet can be used for various needs. The main activity in data collection is collecting quality information that can be analyzed and used to support decisions or provide evidence. The process of retrieving data from the internet is also known as web scraping. There are various methods of web scraping that are commonly used. The amount of data scattered on the internet will be quite time-consuming if the web scraping is done on a large scale. By applying the parallel concept, the multi-processing approach can help complete a job. This study aimed to determine the performance of the web scraping method with the application of multi-processing. Testing is done by doing the process of scraping data from a predetermined target web. Four web scraping methods: CSS Selector, HTML DOM, Regex, and XPath, were selected to be used in the experiment measured based on the parameters of CPU usage, memory usage, execution time, and bandwidth usage. Based on experimental data, the Regex method has the least CPU and memory usage compared to other methods. While XPath requires the least time compared to other methods. The CSS Selector method is the smallest in terms of bandwidth usage compared to other methods. The application of multi-processing techniques to each web scraping method is proven to save memory usage, reduce execution time and reduce bandwidth usage compared to only using single processing.

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Section: E Multi-processingmentioning

confidence: 99%

Evaluating Web Scraping Performance Using XPath, CSS Selector, Regular Expression, and HTML DOM With Multiprocessing Technical Applications

Darmawan

Maulana²,

Gunawan³

et al. 2022

JOIV : Int. J. Inform. Visualization

View full text Add to dashboard Cite

show abstract

Quick-MIMIC: A Multimodal Data Extraction Pipeline for MIMIC with Parallelization

Dou,

Li,

Zheng

et al. 2024

Big Data Min. Anal.

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Evaluation of Parallel Computing on MPI Version PHITS Code

et al. 2023

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The Message Passing Interface (MPI) technique is an old solution and an improvement on the Monte Carlo N-Particle Transport (MCNP) method’s enormous computational time, which has not been evaluated based on PHITS code—a recently developed Monte Carlo simulation code. We conducted simulations on Varian Clinac iX 6MV phase space data from the IAEA. Venselaar et al.’s method and criteria were used to validate the Monte Carlo simulation. The PC cluster has also been tested in terms of processor count and bch, which stands for unit calculation count per operation. The MPI version PHITS code’s speedup factor and the K-factor, which represent the serial portion of the cluster, were both evaluated. All calculated data met the criteria except δ2, high dose, and high gradient of the beam profile data set. It was very clear that PC clusters with MPI were better than simple nodes up to 70.6%. Additionally, the speedup factor shows a tendency to follow Amdahl’s law. At the same time, the K-factor was saturated by a certain measure. The study concludes by arguing that the cluster has limitations that come from its serial composition. If we consider how improvements in specifications affect simulation time, this cluster system could be more effective.

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Multiprocessing implementation for MCNP using Python

Cited by 3 publications

References 11 publications

Evaluating Web Scraping Performance Using XPath, CSS Selector, Regular Expression, and HTML DOM With Multiprocessing Technical Applications

Evaluating Web Scraping Performance Using XPath, CSS Selector, Regular Expression, and HTML DOM With Multiprocessing Technical Applications

Quick-MIMIC: A Multimodal Data Extraction Pipeline for MIMIC with Parallelization

Evaluation of Parallel Computing on MPI Version PHITS Code

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