Schedule

Suggested Readings:

• Online Verilog Exercise
• MIPS Website: The official website of MIPS
• MIT Eyriss: The official website of Eyriss, a hardware CNN accelerator developed by MIT
• RISCV: The official website of RISCV, a simplified instruction set developed by UC Berkeley
• Software Optimization: Introduce common methods for software optimization to accomondate hardware
• Compiler Optimization: 编译器优化相关介绍

Suggested Readings:

• Online Verilog Exercise
• 数字集成电路设计原理: 包含静态逻辑动态逻辑等内容
• CMOS Delay Model: Slides given by UIUC ECE342
• Digital Integrated Circuits - A Design Perspective: A reference book for digital integrated circuits deisgn.
• Verilog HDL高级数字设计: Verilog参考书籍
• Logical Effort - 1: An introdcution to logical effort concept and calculations
• Logical Effort - 2: Slides about logical effort by UT Austin

Suggested Readings:

• Online Verilog Exercise: A website for verilog exercise
• FSM Supplementary: 介绍有限状态机与常见的状态机代码格式
• 乘法器设计: 乘法器设计参考教材
• PGK Adder Tree: Slides for PGK adder tree design
• 时序分析: 时序分析（STA）教材中文翻译版，可以参考第一章第二章中的基本概念
• STA basics and examples: Basic concepts in STA (including setup time, hold time, skew, jitter and etc.)
• SRAM Wiki: Wikipedia page for SRAM
• DRAM Wiki: Wikipedia for DRAM

Suggested Readings:

• Instruction Set: Appendix A in the textbook
• Pipelining: Appendix C in the textbook
• MIPS ISA: MIPS ISA introduction

Suggested Readings

• Pipelining: Appendix C in the textbook
• Hazards: P150 - P156 in the text book

Suggested Readings

• Instruction Level Parallelism & Branch Prediction: Textbook Chapter 3

• OoO Arch Slides 1: Slides about OoO Execution

• OoO Arch Slides 2: Slides about OoO Execution from Stony Brook

Suggested Readings

• Branch Prediction: A Slide about Branch Prediction at CMU

• Super Scalar: Lecture Recording at ETH

• Memory Hierarchy: A Slide about Memory Hierarchy.

Suggested Readings

• Memory Hierarchy: Lecture about Memory Hierarchy

• Cache Coherence: Cache Coherence Lecture

Suggested Reading

• Cache Coherence: Cache Coherence Lecture

• Pre-fetch: A slide on memory pre-fetch

• Multi-threading: An introduction to multi-threading with CPU

Suggested Readings

• NVDIA H100: NVDIA H100 website

Suggested Readings

• AI Accelerator: A lecture about AI acclerator deign methodology

Suggested Readings

• DianNao

• DaDianNao

• Eyeriss

• Google TPU

• [华为昇腾挑战赛]

  • 算子挑战赛
  • 北大校内赛

Suggested Readings

• Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network
• ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization
• OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization
• EIE: Efficient inference engine on compressed deep neural network
• SNAP: An Efficient Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference
• NV Sparse TensorCore

Suggested Readings

• UPMEM PIM DIMM

• Samsung PIM HBM

• RAELLA

感谢朱晓明老师！