Comparison of GPU-Based Parallel Assembly and Assembly-Free Sparse Matrix Vector Multiplication for Finite Element Analysis of Three-Dimensional Structures

Akbariyeh, Ashkan; Dennis, Brian H.; Wang, B. P.; Lawrence, K. L.

doi:10.4203/ccp.108.222

Cited by 2 publications

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“…Given the rise in social media marketing, marketers are frequently using different social media networking platforms to monetize and maximize opportunities (Ham et al, 2015; Hashim et al, 2018; Weismueller et al, 2020). Advertising products and brand quality are key elements in generating preferences through vlogging that affect consumer purchase intentions (Akbariyeh et al, 2015; Younus et al, 2015). Jung et al (2017) explored the important role of Facebook in building trust among consumers through sharing unprejudiced experiences, which had a significant effect on CPI.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of Vlog Marketing on Consumer Travel Intent and Consumer Purchase Intent With the Moderating Role of Destination Image and Ease of Travel

2022

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The following study first examined how consumers are influenced by social media advertising and what role vloggers play in influencer marketing. Secondly, the factors considered by consumers while making a final decision for purchasing and traveling are explored, affected by the destination image for the country of origin. The aim of the research was fulfilled by reviewing relevant literature and defining and exploring the relationship among variables: vlog marketing, YouTube, Facebook, Instagram, Snapchat, E-WOMs, consumer travel intent, consumer purchase intent, destination image, and ease of travel. A self-administered survey questionnaire with a 5-point Likert scale was utilized and shared online among social media users for collecting data via two resources: personal connections and relevant social media platforms. A total of 428 valid responses were collected. The PLS-SEM software was used to analyze and interpret the data. The measurement model, structural model, regression analysis, and t-tests were used for testing and concluding results for hypotheses. The results concluded that vlog marketing, with all its higher-order constructs, except Snapchat, has a significant positive effect on consumer travel intent and purchase intent. Moreover, destination image and ease of travel enhance the relationship of vlog marketing and consumer travel intention but not that of vlog marketing and consumer purchase intention. The study contributes to the literature on influencer and content marketing on social media networks by emphasizing the role of vloggers in shaping consumer behavior and placing a distinct image of a destination place, and how ease of travel affects the decision to travel and buy travel goods and services advertised on vlogs.

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Section: Literature Reviewmentioning

confidence: 99%

Impact of Vlog Marketing on Consumer Travel Intent and Consumer Purchase Intent With the Moderating Role of Destination Image and Ease of Travel

2022

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“…Furthermore, each elemental matrix is of the same size and induces regular memory access, because of which coalesced memory access can be achieved. SpMV based on the blocked CSR format was compared to assembly-free MvPs for tetrahedral elements by Akbariyeh et al [101]. They observed that the performance of the AF approach is much lower due to the limited register availability.…”

Section: Some Extraordinary Strategies Favourable To Parallelization mentioning

confidence: 99%

GPGPU-based parallel computing applied in the FEM using the conjugate gradient algorithm: a review

2018

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Parallelization of the finite-element method (FEM) has been contemplated by the scientific and high-performance computing community for over a decade. Most of the computations in the FEM are related to linear algebra that includes matrix and vector computations. These operations have the single-instruction multiple-data (SIMD) computation pattern, which is beneficial for shared-memory parallel architectures. General-purpose graphics processing units (GPGPUs) have been effectively utilized for the parallelization of FEM computations ever since 2007. The solver step of the FEM is often carried out using conjugate gradient (CG)type iterative methods because of their larger convergence rates and greater opportunities for parallelization. Although the SIMD computation patterns in the FEM are intrinsic for GPU computing, there are some pitfalls, such as the underutilization of threads, uncoalesced memory access, lower arithmetic intensity, limited faster memories on GPUs and synchronizations. Nevertheless, FEM applications have been successfully deployed on GPUs over the last 10 years to achieve a significant performance improvement. This paper presents a comprehensive review of the parallel optimization strategies applied in each step of the FEM. The pitfalls and tradeoffs linked to each step in the FEM are also discussed in this paper. Furthermore, some extraordinary methods that exploit the tremendous amount of computing power of a GPU are also discussed. The proposed review is not limited to a single field of engineering. Rather, it is applicable to all fields of engineering and science in which FEM-based simulations are necessary.

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Comparison of GPU-Based Parallel Assembly and Assembly-Free Sparse Matrix Vector Multiplication for Finite Element Analysis of Three-Dimensional Structures

Cited by 2 publications

References 0 publications

Impact of Vlog Marketing on Consumer Travel Intent and Consumer Purchase Intent With the Moderating Role of Destination Image and Ease of Travel

Impact of Vlog Marketing on Consumer Travel Intent and Consumer Purchase Intent With the Moderating Role of Destination Image and Ease of Travel

GPGPU-based parallel computing applied in the FEM using the conjugate gradient algorithm: a review

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