Update the AI Acceleration chapter

[profvjreddi]

Need to update the AI acceleration chapter to map more closely to the new alignment of the book chapters. Have a bunch of updates to push, so creating an issue to branch off of.

My current plan is to do something like this (pending some edits)

Chapter 11: AI Hardware Acceleration

11.1 Overview of AI Hardware Acceleration

• Scope and Goals
• Key Challenges
• Chapter Organization

11.2 Evolution of AI Hardware Accelerators

• Historical Context
• From CPUs to Specialized Hardware
• Current State of the Industry

11.3 Processor Architecture Primitives for ML

• Vector Operations
• Matrix Operations
• Dataflow Patterns
• Special Function Units

11.4 Memory Systems for ML Accelerators

• Memory Hierarchy Design
• Bandwidth and Latency
• Data Movement Patterns
• Novel Memory Architectures

11.5 Mapping Neural Networks to Hardware

• Basic Building Blocks
• Neural Network Components
• End-to-End Model Mapping

11.6 Optimization Strategies

• Performance Analysis and Bottlenecks
• Hardware-Specific Optimizations
• Model-Specific Optimizations
• System-Level Optimizations

11.7 Hardware-Software Co-Design

• Design Space Exploration
• Model Optimization Techniques
• Compiler Stack
• Runtime Systems

11.8 Modern AI Accelerator Architectures

• GPU Architecture
• TPU and Systolic Arrays
• FPGA Solutions
• Emerging Architectures

11.9 Future Directions

• Emerging Hardware Architectures
• Novel Computing Paradigms
• Research Directions
• Industry Trends

11.10 Conclusion