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Manmeet Kaur Arora,
Sahil Lal,
Anjali Raghav,
Tarun Kaushik,
Bhupinder Singh,
- Research Scholar, Sharda School of Law, Sharda University, Greater Noida, India
- Research Scholar, Sharda School of Law, Sharda University, Greater Noida, India
- Research Scholar, School of Law, Sharda University, Greater Noida, India
- Assistant Professor, Sharda School of Law, Sharda University, Greater Noida, India
- Professor, Sharda School of Law, Sharda University, Greater Noida, India
Abstract
Parallel computing is at an inflection point with revolutionary new paradigms and technologies. The goal of this paper is to survey the recent trend in parallel computing from architecture, programming model and applications. Mahajan cites a litany of architectural developments such as heterogeneous computing systems with integrated GPU/CPU; the emerging promise from quantum and neuromorphic architectures (please see later); advances in packing transistors using novel materials, advanced geometries enabled at node scaling margins by innovative patterning strategies. Data parallelism and functional parallelism) are budding programming paradigms that promise more efficient execution of a given task in an enhanced way. The paper also discusses the need for parallel programming environments to support exploratory and innovative learning. Additionally, these emerging paradigms are applied to myriad domains including high-performance computing (HPC), big data analytics and AI in which parallelism is essential for processing large volumes of data along with complex algorithms. Given the growing need for faster and more efficient computing solutions, being able to anticipate these new paradigms is important both in assisting researchers as well as professionals. This whitepaper intends to guide the future of parallel computing and attempt to create a space for further research and move towards effectively utilizing these advances.
Keywords: Parallel computing, Programming Model, GPU, CPU, Neuromorphic Architectures
[This article belongs to Recent Trends in Parallel Computing (rtpc)]
Manmeet Kaur Arora, Sahil Lal, Anjali Raghav, Tarun Kaushik, Bhupinder Singh. Emerging Paradigms in Parallel Computing: Trends and Innovations. Recent Trends in Parallel Computing. 2025; 12(01):-.
Manmeet Kaur Arora, Sahil Lal, Anjali Raghav, Tarun Kaushik, Bhupinder Singh. Emerging Paradigms in Parallel Computing: Trends and Innovations. Recent Trends in Parallel Computing. 2025; 12(01):-. Available from: https://journals.stmjournals.com/rtpc/article=2025/view=193071
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Recent Trends in Parallel Computing
Volume | 12 |
Issue | 01 |
Received | 25/07/2024 |
Accepted | 09/12/2024 |
Published | 08/01/2025 |