Challenge #1 Beyond CMOS reading - jtristan123/HW-for-AI-ML-ECE-410 GitHub Wiki

Challenge #1

NOTES: I threw the pdf in Chatgpt for a summary, and the points and I got this

Asked Chatgpt

https://irds.ieee.org/images/files/pdf/2023/2023IRDS_BC.pdf can u give me a summary of this pdf and the points it makes

copied and pasted the OUTPUT

Thanks! Here's a summary of the 2023 IEEE International Roadmap for Devices and Systems (IRDS) – Beyond CMOS section from the PDF you uploaded:

🔍 2023 IRDS Beyond CMOS Summary

🎯 Purpose

The Beyond CMOS roadmap explores emerging technologies that can outperform or complement CMOS (Complementary Metal-Oxide-Semiconductor), especially as conventional transistor scaling (Moore’s Law) hits physical and economic limits.

📌 Key Points and Insights

1. Limitations of CMOS

  • Scaling CMOS further is increasingly expensive and inefficient.
  • Power consumption and leakage are critical bottlenecks.
  • Innovation is shifting to architectures, materials, and computing paradigms beyond traditional CMOS.

2. Emerging Device Categories

The roadmap identifies several promising directions:

  • Spintronic Devices (e.g., magnetic tunnel junctions)
  • Ferroelectric Devices
  • Tunnel FETs (TFETs)
  • Negative Capacitance FETs (NCFETs)
  • 2D Material Transistors (like MoS₂, graphene)
  • Topological Insulators and Quantum Devices

Each has trade-offs in performance, power, manufacturability, and maturity.

3. Benchmarking and Metrics

  • Devices are benchmarked based on energy-delay product, switching speed, scalability, and compatibility with existing manufacturing.
  • Benchmarking uses standardized simulation methodologies to ensure fair comparisons across device types.

4. Alternative Computing Paradigms

  • In-memory Computing: Combines memory and logic to reduce data transfer overhead.
  • Neuromorphic Computing: Mimics brain-like processing using memristors or spiking neurons.
  • Quantum Computing: Uses qubits to solve problems classical computers can't.
  • Reversible Computing: Theoretically allows near-zero energy computation.

5. System Integration and Architecture

  • Future systems may be heterogeneous, combining CMOS with Beyond-CMOS logic/memory components.
  • 3D integration and chiplet-based architectures will be key for performance gains.
  • Emphasis on co-design: device, circuit, and architecture must evolve together.

6. Roadmap Vision (2023–2037)

  • Near-term: Optimization and benchmarking of emerging devices.
  • Mid-term: Integration with CMOS; demonstrations in specific use cases.
  • Long-term: Full replacement or dominant role in specialized workloads (e.g., AI, HPC).

🧠 Main Takeaway

The IRDS Beyond CMOS section emphasizes that the future of computing requires moving beyond traditional transistor designs. Success will come from new devices + new architectures, all co-developed to break performance and energy barriers.

If you want a breakdown by table, specific chart interpretation, or deeper dive into a specific device type (like TFETs or spintronics), let me know!