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AI-Powered Parallel Computing Architecture and Its Applications

AI-Powered Parallel Computing Architecture and Its Applications

J. Aswini, K. Sudha, Gowri Ganesh, Siva Subramanian, George Ghinea
Copyright: © 2024 |Pages: 17
ISBN13: 9798369317020|ISBN13 Softcover: 9798369348055|EISBN13: 9798369317037
DOI: 10.4018/979-8-3693-1702-0.ch002
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MLA

Aswini, J., et al. "AI-Powered Parallel Computing Architecture and Its Applications." The Convergence of Self-Sustaining Systems With AI and IoT, edited by Roopa Chandrika Rajappan, et al., IGI Global, 2024, pp. 23-39. https://doi.org/10.4018/979-8-3693-1702-0.ch002

APA

Aswini, J., Sudha, K., Ganesh, G., Siva Subramanian, & Ghinea, G. (2024). AI-Powered Parallel Computing Architecture and Its Applications. In R. Rajappan, N. Gowri Ganesh, J. Daniel, A. Ahmad, & R. Santhosh (Eds.), The Convergence of Self-Sustaining Systems With AI and IoT (pp. 23-39). IGI Global. https://doi.org/10.4018/979-8-3693-1702-0.ch002

Chicago

Aswini, J., et al. "AI-Powered Parallel Computing Architecture and Its Applications." In The Convergence of Self-Sustaining Systems With AI and IoT, edited by Roopa Chandrika Rajappan, et al., 23-39. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-1702-0.ch002

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Abstract

Addressing the increasing processing demands of contemporary applications has grown to rely heavily on parallel computing. The development of faster and more effective computing systems has been made possible by this paradigm change from sequential processing to parallel execution, which has allowed for the addressing of the ever-increasing needs of current applications across numerous areas. This comprehensive study goes into the world of parallel computing architectures, exposing their fundamental ideas and providing a wide-ranging overview of their applications in several fields. The chapter explores fundamental ideas, parallelism types, architectural models, programming paradigms, difficulties, and potential futures in the context of parallel computing. This chapter aims to be a valuable resource for researchers, practitioners, and enthusiasts alike by bridging the theoretical and practical implementation gaps and offering insights into the potential, difficulties, and future directions of parallel computing architecture and its transformative impact on various domains.

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