Parallel finite volume method-based fluid flow computations using OpenMP and CUDA applying different schemes

Afzal, Asif; Saleel, C. Ahamed; Prashantha, K.; Bhattacharyya, Suvanjan; Sadhikh, Mohammed

doi:10.1007/s10973-021-10637-1

Cited by 13 publications

(5 citation statements)

References 49 publications

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“…It works best for fine-grained parallel computing. OpenMP-based computing is fast and has low latency [19], [20]. The compiler directives make it possible for the C/C++ and Fortran programming languages to use loop-based parallelization, tasking, work sharing, and synchronization.…”

Section: Open Multi-processing (Openmp)mentioning

confidence: 99%

An innovativefractal architecture model for implementing MapReduce in an open multiprocessing parallel environment

Khudhair

AL-Rammahi

Rabee

2023

IJEECS

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One of the infrastructure applications that cloud computing offers as a service is parallel data processing. MapReduce is a type of parallel processing used more and more by data-intensive applications in cloud computing environments. MapReduce is based on a strategy called "divide and conquer," which uses regular computers, also called "nodes," to do processing in parallel. This paper looks at how open multiprocessing (OpenMP), the best shared-memory parallel programming model for high-performance computing, can be used with the proposed fractal network model in the MapReduce application. A well-known model, the cube, is used to compare the fractal network model and its work. Where experiments demonstrated that the fractal model is preferable to the cube model. The fractal model achieved an average speedup of 2.7 and an efficiency rate of 67.7%. In contrast, the cube model could only reach an average speedup of 2.5 and an efficiency rate of 60.4%.

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Section: Open Multi-processing (Openmp)mentioning

confidence: 99%

An innovativefractal architecture model for implementing MapReduce in an open multiprocessing parallel environment

Khudhair

AL-Rammahi

Rabee

2023

IJEECS

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“…Compiler directives enable loop-based parallelization, tasking, work-sharing, and synchronization in C/C++ and Fortran. Because it's easy to run sequential applications in parallel, the OpenMP architecture is more enticing to programmers [16]. OpenMP's primary parallelization technique is known as multithreading.…”

Section: Open Multiprocessingmentioning

confidence: 99%

New efficient fractal models for MapReduce in OpenMP parallel environment

Khudhair¹,

Rabee²,

AL-Rammahi³

2023

Bulletin EEI

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Parallel data processing is one of the specific infrastructure applications categorized as a service provided by cloud computing. In cloud computing environments, data-intensive applications increasingly use the parallel processing paradigm known as MapReduce. MapReduce is based on a strategy called "divide and conquer," which uses ordinary computers, also called "nodes," to do processing in parallel. This paper looks at how open multiprocessing (OpenMP), the best shared-memory parallel programming model for high-performance computing, can be used in the MapReduce application using proposed fractal network models. Two fractal network models are offered, and their work is compared with a well-known network model, the hypercube. The first fractal network model achieved an average speedup of 3.239 times while an efficiency ranged from 73-95%. In the second model of the network, the speedup got to 3.236 times while keeping an efficiency of 70-92%. Furthermore, the path-finding algorithm employed in the recommended fractal network models remarkably identified all paths and calculated the shortest and longest routes.

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“…Whether it is solar mechanical system or solar cells of different types, the wide use of nanoparticles is being investigated where researchers have found notable difference in energy efficiency of these solar technologies [155]. Many other related works are reported in [156][157][158][159][160][161][162][163][164][165][166][167]. assist in promoting oxygen atoms and act as catalysts improving the microexplosion phenomenon (5) SE production is a sustainable option that leads to significant reductions in CO 2 emissions while requiring no fuel throughout the operation.…”

Section: Types Of Photovoltaic Concentrator As Illustrated Inmentioning

confidence: 99%

Developments in Nanoparticles Enhanced Biofuels and Solar Energy in Malaysian Perspective: A Review of State of the Art

Fayaz

Khan

Saleel

et al. 2022

Journal of Nanomaterials

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The rapid rise in global oil prices, the scarcity of petroleum sources, and environmental concerns have all created severe issues. As a result of the country’s rapid expansion and financial affluence, Malaysia’s energy consumption has skyrocketed. Biodiesel and solar power are currently two of the most popular alternatives to fossil fuels in Malaysia. These two types of renewable energy sources appear to be viable options because of their abundant availability together with environmental and performance competence to highly polluting and fast depleting fossil fuels. The purpose of adopting renewable technology is to expand the nation’s accessibility to a reliable and secure power supply. The current review article investigates nonconventional energy sources added with nanosized metal particles called as nanomaterials including biodiesel and solar, as well as readily available renewable energy options. Concerning the nation’s energy policy agenda, the sources of energy demand are also investigated. The article evaluates Malaysia’s existing position in renewable energy industries, such as biodiesel and solar, as well as the impact of nanomaterials. This review article discusses biodiesel production, applications, and government policies in Malaysia, as well as biodiesel consumption and recent developments in the bioenergy sector, such as biodiesel property modifications utilizing nanoparticle additions. In addition, the current review study examines the scope of solar energy, different photovoltaic concentrators, types of solar energy harvesting systems, photovoltaic electricity potential in Malaysia, and the experimental setup of solar flat plate collectors (FPC) with nanotechnology.

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Parallel finite volume method-based fluid flow computations using OpenMP and CUDA applying different schemes

Cited by 13 publications

References 49 publications

An innovativefractal architecture model for implementing MapReduce in an open multiprocessing parallel environment

An innovativefractal architecture model for implementing MapReduce in an open multiprocessing parallel environment

New efficient fractal models for MapReduce in OpenMP parallel environment

Developments in Nanoparticles Enhanced Biofuels and Solar Energy in Malaysian Perspective: A Review of State of the Art

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