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Advanced Design for High-Performance and AI Chips.

Ying Cao1,2, Yuejiao Chen3, Xi Fan4

  • 1Nanotechnology Center, School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong, 999077, People's Republic of China.

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Summary
This summary is machine-generated.

Artificial intelligence (AI) chips require advanced designs due to their billions of parameters. This review systematically covers the latest developments in advanced AI chip design, focusing on materials, algorithms, and co-design strategies for enhanced performance.

Keywords:
AI chipsAdvanced chipsArtificial intelligenceDesign tacticsReview and perspective

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Area of Science:

  • Computer Engineering
  • Materials Science
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) techniques with billions of parameters necessitate advanced AI chips for efficient and powerful task execution.
  • Recent advancements in chip technology include photonic computing, quantum processors, and biomimetic chips.

Purpose of the Study:

  • To systematically review the newest developments in advanced chip design for AI.
  • To provide insights into the latest design strategies for high-performance AI chips.

Main Methods:

  • Summarizing background information and underlying mechanisms of advanced chip technologies.
  • Illustrating key considerations for the co-design of software and hardware.
  • Summing up strategies for achieving high performance in advanced AI chips by analyzing critical information processing steps.

Main Results:

  • A systematic review of recent advancements in photonic computing, quantum processors, and biomimetic chips.
  • Identification of crucial factors in materials, algorithms, models, and architectures for advanced chip design.
  • Elaboration on software-hardware co-design considerations for optimizing AI chip performance.

Conclusions:

  • The review highlights the latest design tactics for advanced AI chips, emphasizing materials, algorithms, and architectures.
  • Future design directions for advanced chips are proposed, considering critical information processing steps.
  • Perspectives on the future trajectory of advanced AI chip development are presented.