Optimizing Management Strategies for Enhanced Performance and Energy Efficiency in Modern Computing Systems
DOI:
https://doi.org/10.5281/zenodo.12760026ARK:
https://n2t.net/ark:/40704/AJSM.v2n4a09Keywords:
Performance Optimization, Strategic Management, Multi-Core Designs, Heterogeneous Computing, Semiconductor ManufacturingAbstract
The progression of modern computing systems hinges significantly on advancements in chip design, which in turn, are influenced by effective management strategies. This paper investigates various techniques aimed at optimizing chip performance and energy efficiency through strategic management of architectural innovations, materials science, and fabrication processes. By focusing on the integration of these advancements into current manufacturing practices, the study aims to meet the demands of high-performance computing while minimizing energy consumption. Key innovations such as multi-core designs and heterogeneous computing are examined, alongside material advancements including graphene and silicon carbide. Additionally, fabrication processes like Extreme Ultraviolet Lithography (EUVL) and 3D stacking are analyzed. The study utilizes experimental data to measure improvements in speed, efficiency, and power usage. The findings provide a comprehensive analysis of how these innovations impact chip design and offer practical recommendations for management strategies in future development. By addressing both performance and energy efficiency, this study aims to guide industry leaders in creating more powerful and sustainable computing solutions.
Downloads
Metrics
References
Zou, Z. B., Song, L. P., & Song, Z. L. (2017, December). Labeled box-particle PHD filter for multi-target tracking. In 2017 3rd IEEE International Conference on Computer and Communications (ICCC) (pp. 1725-1730). IEEE.
Liu, T., Cai, Q., Xu, C., Zhou, Z., Xiong, J., Qiao, Y., & Yang, T. (2024). Image Captioning in news report scenario. arXiv preprint arXiv:2403.16209.
Zhibin, Z. O. U., Liping, S. O. N. G., & Xuan, C. (2019). Labeled box-particle CPHD filter for multiple extended targets tracking. Journal of Systems Engineering and Electronics, 30(1), 57-67.
Li, K., Xirui, P., Song, J., Hong, B., & Wang, J. (2024). The application of augmented reality (ar) in remote work and education. arXiv preprint arXiv:2404.10579.
Sun, Y., Cui, Y., Hu, J., & Jia, W. (2018). Relation classification using coarse and fine-grained networks with SDP supervised key words selection. In Knowledge Science, Engineering and Management: 11th International Conference, KSEM 2018, Changchun, China, August 17–19, 2018, Proceedings, Part I 11 (pp. 514-522). Springer International Publishing.
Zou, Z., Careem, M., Dutta, A., & Thawdar, N. (2022, May). Unified characterization and precoding for non-stationary channels. In ICC 2022-IEEE International Conference on Communications (pp. 5140-5146). IEEE.
Xiong, J., Feng, M., Wang, X., Jiang, C., Zhang, N., & Zhao, Z. (2024). Decoding sentiments: Enhancing covid-19 tweet analysis through bert-rcnn fusion. Journal of Theory and Practice of Engineering Science, 4(01), 86-93.
Zhao, Y., Wu, J., Qu, P., Zhang, B., & Yan, H. (2024). Assessing User Trust in LLM-based Mental Health Applications: Perceptions of Reliability and Effectiveness. Journal of Computer Technology and Applied Mathematics, 1(2), 19-26.
Zhang, N., Xiong, J., Zhao, Z., Feng, M., Wang, X., Qiao, Y., & Jiang, C. (2024). Dose My Opinion Count? A CNN-LSTM Approach for Sentiment Analysis of Indian General Elections. Journal of Theory and Practice of Engineering Science, 4(05), 40-50.
Zhu, M., Zhang, Y., Gong, Y., Xing, K., Yan, X., & Song, J. (2024). Ensemble methodology: Innovations in credit default prediction using lightgbm, xgboost, and localensemble. arXiv preprint arXiv:2402.17979.
Zhao, Z., Zhang, N., Xiong, J., Feng, M., Jiang, C., & Wang, X. (2024). Enhancing E-commerce Recommendations: Unveiling Insights from Customer Reviews with BERTFusionDNN. Journal of Theory and Practice of Engineering Science, 4(02), 38-44.
Yi, X., & Qiao, Y. (2024). GPU-Based Parallel Computing Methods for Medical Photoacoustic Image Reconstruction. arXiv preprint arXiv:2404.10928.
Feng, M., Wang, X., Zhao, Z., Jiang, C., Xiong, J., & Zhang, N. (2024). Enhanced Heart Attack Prediction Using eXtreme Gradient Boosting. Journal of Theory and Practice of Engineering Science, 4(04), 9-16.
Zou, Z., Careem, M., Dutta, A., & Thawdar, N. (2023). Joint spatio-temporal precoding for practical non-stationary wireless channels. IEEE Transactions on Communications, 71(4), 2396-2409.
Zhang, Y., Gui, K., Zhu, M., Hao, Y., & Sun, H. (2024). Unlocking personalized anime recommendations: Langchain and llm at the forefront. Journal of Industrial Engineering and Applied Science, 2(2), 46-53.
Liu, T., Xu, C., Qiao, Y., Jiang, C., & Yu, J. (2024). Particle filter slam for vehicle localization. arXiv preprint arXiv:2402.07429.
Liu, T., Cai, Q., Xu, C., Zhou, Z., Ni, F., Qiao, Y., & Yang, T. (2024). Rumor Detection with a novel graph neural network approach. arXiv preprint arXiv:2403.16206.
Zhu, A., Liu, J., Li, K., Dai, S., Hong, B., Zhao, P., & Wei, C. (2024). Exploiting Diffusion Prior for Out-of-Distribution Detection. arXiv preprint arXiv:2406.11105.
Dai, S., Li, K., Luo, Z., Zhao, P., Hong, B., Zhu, A., & Liu, J. (2024). AI-based NLP section discusses the application and effect of bag-of-words models and TF-IDF in NLP tasks. Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023, 5(1), 13-21.
Jia, J., Wang, N., Liu, Y., & Li, H. (2024). Fast Two-Grid Finite Element Algorithm for a Fractional Klein-Gordon Equation. Contemporary Mathematics, 1164-1180.
Liu, T., Xu, C., Qiao, Y., Jiang, C., & Chen, W. (2024). News recommendation with attention mechanism. arXiv preprint arXiv:2402.07422.
Wang, J., Wang, J., Dai, S., Yu, J., & Li, K. (2024). Research on emotionally intelligent dialogue generation based on automatic dialogue system. arXiv preprint arXiv:2404.11447.
Ni, F., Zang, H., & Qiao, Y. (2024, January). Smartfix: Leveraging machine learning for proactive equipment maintenance in industry 4.0. In The 2nd International scientific and practical conference “Innovations in education: prospects and challenges of today”(January 16-19, 2024), Sofia, Bulgaria, International Science Group (p. 313).
Su, J., Jiang, C., Jin, X., Qiao, Y., Xiao, T., Ma, H., ... & Lin, J. (2024). Large language models for forecasting and anomaly detection: A systematic literature review. arXiv preprint arXiv:2402.10350.
Xiong, J., Jiang, C., Zhao, Z., Qiao, Y., Zhang, N., Feng, M., & Wang, X. (2024). Selecting the Best Fit Software Programming Languages: Using BERT for File Format Detection. Journal of Theory and Practice of Engineering Science, 4(06), 20-28.
Li, K., Zhu, A., Zhou, W., Zhao, P., Song, J., & Liu, J. (2024). Utilizing deep learning to optimize software development processes. arXiv preprint arXiv:2404.13630.
Jin, J., Ni, F., Dai, S., Li, K., & Hong, B. (2024). Enhancing federated semi-supervised learning with out-of-distribution filtering amidst class mismatches. Journal of Computer Technology and Applied Mathematics, 1(1), 100-108.
Lai, Y., Yang, G., He, Y., Luo, Z., & Li, S. (2024, April). Selective Domain-Invariant Feature for Generalizable Deepfake Detection. In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 2335-2339). IEEE.
Li, H., Xu, F., & Lin, Z. (2023). ET-DM: Text to image via diffusion model with efficient Transformer. Displays, 80, 102568.
Song, J., Liu, H., Li, K., Tian, J., & Mo, Y. (2024). A comprehensive evaluation and comparison of enhanced learning methods. Academic Journal of Science and Technology, 10(3), 167-171.
Zhang, Y., Zhu, M., Gui, K., Yu, J., Hao, Y., & Sun, H. (2024). Development and application of a monte carlo tree search algorithm for simulating da vinci code game strategies. arXiv preprint arXiv:2403.10720.
Zhang, Y., Zhu, M., Gong, Y., & Ding, R. (2023). Optimizing science question ranking through model and retrieval-augmented generation. International Journal of Computer Science and Information Technology, 1(1), 124-130.
Zhu, A., Li, K., Wu, T., Zhao, P., Zhou, W., & Hong, B. (2024). Cross-task multi-branch vision transformer for facial expression and mask wearing classification. arXiv preprint arXiv:2404.14606.
Qu, P., Zhang, B., Wu, J., & Yan, H. (2024). Comparison of Text Classification Algorithms based on Deep Learning. Journal of Computer Technology and Applied Mathematics, 1(2), 35-42.
Zhang, Y., Gong, Y., Cui, D., Li, X., & Shen, X. (2024). Deepgi: An automated approach for gastrointestinal tract segmentation in mri scans. arXiv preprint arXiv:2401.15354.
Lai, Y., Yu, Z., Yang, J., Li, B., Kang, X., & Shen, L. (2024). GM-DF: Generalized Multi-Scenario Deepfake Detection. arXiv preprint arXiv:2406.20078.
Hong, B., Zhao, P., Liu, J., Zhu, A., Dai, S., & Li, K. (2024). The application of artificial intelligence technology in assembly techniques within the industrial sector. Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023, 5(1), 1-12.
Liu, S., Wu, K., Jiang, C., Huang, B., & Ma, D. (2023). Financial time-series forecasting: Towards synergizing performance and interpretability within a hybrid machine learning approach. arXiv preprint arXiv:2401.00534.
Zhao, P., Li, K., Hong, B., Zhu, A., Liu, J., & Dai, S. (2024). Task allocation planning based on hierarchical task network for national economic mobilization. Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023, 5(1), 22-31.
Wang, X., Qiao, Y., Xiong, J., Zhao, Z., Zhang, N., Feng, M., & Jiang, C. (2024). Advanced network intrusion detection with tabtransformer. Journal of Theory and Practice of Engineering Science, 4(03), 191-198..
Yan, H., Xiao, J., Zhang, B., Yang, L., & Qu, P. (2024). The Application of Natural Language Processing Technology in the Era of Big Data. Journal of Industrial Engineering and Applied Science, 2(3), 20-27.
Zhang, B., Xiao, J., Yan, H., Yang, L., & Qu, P. (2024). Review of NLP Applications in the Field of Text Sentiment Analysis. Journal of Industrial Engineering and Applied Science, 2(3), 28-34.
Zhang, B., Yan, H., Wu, J., & Qu, P. (2024). Application of Semantic Analysis Technology in Natural Language Processing. Journal of Computer Technology and Applied Mathematics, 1(2), 27-34.
Downloads
Published
How to Cite
Issue
Section
ARK
License
Copyright (c) 2024 The author retains copyright and grants the journal the right of first publication.
This work is licensed under a Creative Commons Attribution 4.0 International License.
