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Synergizing AI and CPU: Empowering Next-Generation Computing
  • +3
  • Karthikeya Tallapaneni,
  • Harshit Bhardwaj,
  • Amar Kajla,
  • Prudhvi Sai Reddy,
  • Manohar Krishna,
  • Priyanka Kaushik
Karthikeya Tallapaneni

Corresponding Author:[email protected]

Author Profile
Harshit Bhardwaj
Amar Kajla
Prudhvi Sai Reddy
Manohar Krishna
Priyanka Kaushik

Abstract

The aim of this study, therefore, is to reinvent the future of computing systems in terms of performance, efficiency, and adaptability by identifying the "frontier" of AI-driven innovations in CPU design. * This document surveys front-end optimizations driven by AI, new architectural ideas, and upcoming paradigms that might revolutionize CPU technology through a thorough literature review as well as empirical evaluations. * With the help of advanced artificial intelligence methods like as machine learning, deep learning, and reinforcement learning, the exploration of new CPU architectures and optimization techniques permits the unleashing of computational powers beyond anything previously imagined. * AI methods on CPU architecture and address significant concerns such as scalability, energy efficiency, security, and reliability have been systematically explored. Furthermore, the transformative ability of AI-driven CPUs is also illustrated through real-world-case applications in several fields, e.g. autonomous systems, healthcare informatics, edge computing. This paper helps clear the roadmap for the next system of creative revolution in AI-imbued computing, defining potential directions for additional research and cooperation.
28 May 2024Submitted to TechRxiv
04 Jun 2024Published in TechRxiv