High-Performance Parallel Computing for Scientific Simulations
DOI:
https://doi.org/10.36676/urr.v11.i4.1353Keywords:
High-Performance Parallel Computing, HPPC, high-performance computing, (HPC)Abstract
One essential strategy for overcoming the difficulties of contemporary scientific simulations is High-Performance Parallel Computing, or HPPC. In order to handle massive information and solve complicated equations, these simulations—which mimic complex phenomena like weather patterns, fluid dynamics, and biological systems—require enormous processing resources. By dividing tasks into smaller components and processing them concurrently, HPPC enables scientists to answer issues more quickly and precisely. Research in several disciplines, including biology, environmental science, engineering, and physics, is greatly advanced by this type of computer.
References
• Bharadwaj, K.K., Srivastava, A., Panda, M.K., Singh, Y.D., Maharana, R., Mandal, K., Manisha Singh, B.S., Singh, D., Das, M., Murmu, D. and Kabi, S.K., 2021. Computational intelligence in vaccine design against COVID-19. Computational intelligence methods in COVID-19: surveillance, prevention, prediction and diagnosis, pp.311-329.
• Website: https://medium.com/@geminae.stellae/introduction-to-parallel-computing-with-opencl-2ee91c30b8b6
• Website: https://www.hpc.iastate.edu/guides/introduction-to-hpc-clusters/what-is-an-hpc-cluster
• Website: https://www.shiksha.com/online-courses/articles/high-performance-computing-real-life-analogy/
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Universal Research Reports
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.