Strategic GPU Deployment for High-Performance AI Programming and Computational Intelligence

Authors

  • Dr. Brajesh Kumar

Keywords:

GPU Deployment, High-Performance Computing, AI Programming, Computational Intelligence, Energy Efficiency, Algorithm Optimization

Abstract

The surge in artificial intelligence (AI) applications has transformed computational workloads,necessitating hardware capable of sustaining intensive processing demands. Graphics ProcessingUnits (GPUs) have emerged

References

Krzyanski, J., Sosnowski, M., Grabowska, K., Zylka, A., Lasek, L., & Kijo-Kleczka, A. (2024). Advanced computational methods for modeling, prediction and optimization—a review. Materials, 17(14), 3521. https://www.mdpi.com/1996-1944/17/14/3521

Zhang, C., Ueng, Y. L., Studer, C., & Burg, A. (2020). Artificial intelligence for 5G and beyond 5G: Implementations, algorithms, and optimizations. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 10(2), 149163. https://ieeexplore.ieee.org/document/9108219

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Published

2024-07-20

How to Cite

Dr. Brajesh Kumar. (2024). Strategic GPU Deployment for High-Performance AI Programming and Computational Intelligence. Journal of Computational Analysis and Applications (JoCAAA), 33(07), 2430–2443. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3464

Issue

Vol. 33 No. 07 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.