“Green Parallel Computing: Energy- Efficient Approaches for High- Performance Computing."

Registration ID: IJNRD_221082

Published ID: IJNRD2405216

DOI: Click Here to Get

Krish Suresh Nagaral , Dr Premanad , Akash srikanth , Yogendra Premanth Champa

Speculation-based Multithreading, Dynamic Voltage and Frequency Scaling, Value Prediction, Control Flow Prediction, Dataflow Analysis, Genetic Algorithms, Swarm Intelligence, Neural Network Predictors

Speculative Parallelism is a technique in which more than one thread is used parallelly to carry out instructions in a recursive manner without using a compiler at every stage. It aims to improve the functioning of multicore chip architecture and the efficiency of energy utilization. To meet environment-friendly goals Green computing utilizes the computers and reservoir in an optimum way. These smart systems can be stimulated by the synergy caused between Speculative Parallelism and Green Computing to attain ecological responsibilities and green applications, coming in order with the primary objective of Green Computing. In the context of speculative parallelism, several approaches have been put forward like control flow prediction, value prediction and dataflow analysis. The main objective of these methods is to lower the usage of energy and boost the output. This can be achieved by utilizing parallelism to its fullest and reducing the intake of speculative operations. Industry, government, and academia have all shown a great deal of interest in green computing. Their primary focus is on creating, using, disposing of, and producing computing products in an environmentally friendly way. Computational Intelligence (CI), a branch of computer science, deals with the development of intelligent systems based on relatively new intelligent models, such as fuzzy systems and neural networks. These models have been applied in various areas, including classification, pattern recognition, time series prediction, scheduling, planning, manufacturing, and optimization of models.

Published Paper   E-Certificate

Krish Suresh Nagaral, Dr Premanad , Akash srikanth, & Yogendra Premanth Champa (May-2024). “Green Parallel Computing: Energy- Efficient Approaches for High- Performance Computing.". INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), c138-c143. https://ijnrd.org/papers/IJNRD2405216.pdf

Volume 9 Issue 5, May-2024

Pages : c138-c143

Paper Reg. ID: IJNRD_221082

Published Paper Id: IJNRD2405216

Downloads: 000121982

Research Area: Computer Science & Technology 

Country: chennai, tamil nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405216.pdf

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