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V. Basil Hans,
- Research Professor, Department of Management & Commerce, Srinivas University, Mangaluru, Karnataka, India
Abstract
This article explores the advancements in parallel computing, focusing on its applications in various domains such as scientific simulations, big data analytics, artificial intelligence, and real-time processing. We discuss the architectural shifts from traditional single-core processors to multi-core and many-core systems, along with the role of GPU-based computing and specialized hardware like TPUs and FPGAs. Furthermore, the article examines contemporary software frameworks and programming models such as OpenMP, MPI, and CUDA, which have enabled developers to harness the full potential of parallelism. With the explosion of data-driven applications, parallel computing plays a critical role in reducing computational time, enhancing efficiency, and enabling more complex problem-solving across industries. The article concludes with a discussion on the challenges faced in scalability, power consumption, and algorithm design, while also highlighting future trends in quantum computing and exascale systems.
Keywords: Artificial intelligence, quantum computing, vast datasets, computing architectures, computing
[This article belongs to Recent Trends in Parallel Computing (rtpc)]
V. Basil Hans. The Significance and Applications of Parallel Computing in the Modern. Recent Trends in Parallel Computing. 2025; 12(01):-.
V. Basil Hans. The Significance and Applications of Parallel Computing in the Modern. Recent Trends in Parallel Computing. 2025; 12(01):-. Available from: https://journals.stmjournals.com/rtpc/article=2025/view=193069
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Recent Trends in Parallel Computing
| Volume | 12 |
| Issue | 01 |
| Received | 07/11/2024 |
| Accepted | 18/11/2024 |
| Published | 08/01/2025 |