Python Parallel Processing and Multiprocessing: A Rivew

Aziz, Zina A.; Abdulqader, Diler Naseradeen; Sallow, Amira B.; Omer, Herman Khalid

doi:10.25007/ajnu.v10n3a1145

Cited by 19 publications

(17 citation statements)

References 25 publications

(10 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nine competency standards for knowing words are proposed, mainly including the need to know the spoken and written forms of words, to be able to spell and recall words correctly, to be able to relate words to appropriate objects and concepts, and to be able to use words inappropriate combinations [5]. From the different insights of the above scholars on the content of vocabulary, students should focus on not only the accumulation of vocabulary quantity but also qualitative learning; that is, teachers should pay attention to the development of students' vocabulary cognition and use when teaching them vocabulary [6].…”

Section: Related Workmentioning

confidence: 99%

“…e static power consumption is h 1 affected P L by the current ambient temperature T 1 and the leakage power coefficient, as shown in equation (4), where the leakage power coefficient h 1 can be considered as a constant value [13]. e dynamic power consumption is proportional P D to the square of the operating frequency of the core, as shown in equation (5), which denotes the P max rated power consumption of the core and the f max maximum operating frequency of the core.…”

Section: Heterogeneous Multicore Processor System Designmentioning

confidence: 99%

See 1 more Smart Citation

Construction of Dynamic Multiparallel Foreign Language Teaching Model Based on Multicore Processor

Huang¹,

Zheng²

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Heterogeneous multicore processor systems, as one of the highlights of multicore processor systems, are widely loved by people for their high efficiency and low cost, and they have also become the most commonly used processor systems in embedded systems. In the process of research on heterogeneous multicore processor systems, system task scheduling is particularly important. A good task scheduling algorithm can give full play to system performance. In this paper, the intelligent approximation algorithm is applied to the task scheduling problem of heterogeneous multicore processor system, and the heterogeneous multicore processor system is obtained as a highlight in the multicore processor system. Relying on the characteristics of high efficiency and low cost, it is widely loved by people, and at the same time, it has become the most commonly used processor system in embedded systems. In the process of research on heterogeneous multicore processor systems, the system task scheduling problem is particularly important. A good task scheduling algorithm can give full play to system performance. Some commonly used heuristic task scheduling algorithms are insufficient in solving such problems. This paper combines the granularity-based wavefront parallel decoding algorithm and the fast fusion loop filter algorithm to apply pipeline parallel technology between pixels. Decoding reconstruction module and fast loop filter module realize the fusion of multilevel parallel decoding. Based on the multicore platform, a dynamic multiparallel scheduling algorithm is designed to realize two-way video real-time parallel high-speed decoding, which improves the core resource utilization rate and decoding execution efficiency of the multicore processing platform. This paper also designs an indicator collector, a read-write hit collector, and a cache block priority determiner to implement a dynamic generation strategy with low hardware overhead. Multimodal teaching has certain feasibility and effectiveness and can have a positive impact on the English reading motivation and English reading comprehension ability of university students. Multimodal teaching improves students’ English reading comprehension ability, deepens students’ understanding and memory of words, and broadens the scope of knowledge, which has a significant promoting effect. The research results show that multimodality can be applied to college English teaching, and it can achieve better results than traditional teaching methods. By comparing the test results before and after the test, there are obvious differences between the experimental class and the control class. Whether it is the paired sample T-test of the experimental class or the independent sample T-test of two teaching methods in two classes, it proves that the scores under the multimodal English teaching mode are higher than the traditional teaching mode. Multimodal classrooms provide students with many opportunities to participate in classroom activities and form a competitive learning atmosphere. This competitive learning atmosphere has become a driving force to promote student learning. Multimodal teaching methods help to cultivate students’ independent and cooperative learning. In a multimodal classroom, many activities require cooperation and discussion among students. When they encounter difficulties, they can help each other, discuss with each other, and cooperate to complete tasks. Therefore, the multimodal teaching method will stimulate students’ interest in learning, give full play to students’ initiative, and improve students’ English ability.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Heterogeneous Multicore Processor System Designmentioning

confidence: 99%

Construction of Dynamic Multiparallel Foreign Language Teaching Model Based on Multicore Processor

Huang¹,

Zheng²

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

“…In data-intensive computing applications, the current hardware allows for parallel program execution [23]- [25] [26]. The application of parallel and multiprocessor algorithms can break down significant numerical problems into smaller subtasks, reducing the total computation time on multiprocessor computers and resulting in better performance [23]. In dealing with this parallel computing problem, the concept of a processing "pool" is used: "tasks" (data) are forwarded in bulk to the pool, and the pool handles the distribution of tasks to a number of available worker processes [27]- [29].…”

Section: Introductionmentioning

confidence: 99%

“…The experiment compared web scraping performance by applying single-processing and multi-processing techniques. Python programming language was chosen to be used in this research because it is open source, multiplatform, lightweight, compact, and very suitable for rapid prototyping, although it is powerful enough to write significant applications [23].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

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.

show abstract

CF-DAML: Distributed automated machine learning based on collaborative filtering

et al. 2022

View full text Add to dashboard Cite

Python Parallel Processing and Multiprocessing: A Rivew

Cited by 19 publications

References 25 publications

Construction of Dynamic Multiparallel Foreign Language Teaching Model Based on Multicore Processor

Construction of Dynamic Multiparallel Foreign Language Teaching Model Based on Multicore Processor

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

CF-DAML: Distributed automated machine learning based on collaborative filtering

Contact Info

Product

Resources

About