Skip to content

Latest commit

 

History

History
383 lines (288 loc) · 14.9 KB

File metadata and controls

383 lines (288 loc) · 14.9 KB

MLIR Tutorial Series - Completion Summary

Branch: WinOS-CMake Status:COMPLETE - All 13 tutorials available Date Completed: 2025-11-11


Overview

This document summarizes the complete Windows-native MLIR tutorial series created for the WinOS-CMake branch. All 13 tutorials from Jeremy Kun's original series have been adapted for Windows/MSYS2/CMake development.

Enhancement Philosophy: Pedagogical Narrative Integration

Beyond platform adaptation, these tutorials have been significantly enhanced with pedagogical narrative grounded in Jeremy Kun's original 2023 blog articles. This enhancement represents a deliberate technical approach.

The Enhancement Approach

Goal: Transform technical reference material into contextual learning experiences that preserve Jeremy's "between the lines" insights while maintaining professional clarity.

Method: Each tutorial was systematically enhanced by:

  1. Going through Jeremy's original blog articles - Direct consultation with source material at jeremykun.com, ensuring accuracy and completeness

  2. Extracting conceptual depth - Identifying philosophical motivations, design trade-offs, honest assessments of limitations, and the "why" behind technical choices (not just the "how")

  3. Professional reinterpretation - Translating Jeremy's conversational blog style into a concise narrative that maintains approachability while avoiding casual mimicry

  4. Structured integration - Adding enhanced introductions explaining motivation before mechanism, and reorganizing Key Takeaways into "Conceptual" and "Practical" sections

  5. Preserving candor - Retaining Jeremy's honest acknowledgments of friction points, incomplete features, documentation gaps, and learning curve challenges

What Was Added

Perspective and Purpose

  • Why features exist (motivation and design philosophy)
  • Trade-offs and economic arguments (e.g., "compile-time evaluation is leverage")
  • Architectural insights (e.g., "traits invert the optimization burden")
  • Design patterns and their implications (e.g., "storage classes hide complexity")

Honest assessments:

  • Limitations and expressivity gaps (e.g., "DRR cannot check 'has single use' constraint")
  • Documentation inadequacies (e.g., "trait list is missing quite a few...")
  • Learning curve realities (e.g., "must dig through pass implementations to understand traits")
  • Evolution and maturity acknowledgments (e.g., "DRR is in maintenance mode," "PDLL is incomplete as of this writing")

Contextual connections:

  • How features compose (e.g., "folders + canonicalization + SCCP address complementary scopes")
  • When to use each approach (e.g., "C++ patterns vs DRR vs PDLL")
  • Why multiple mechanisms exist for similar tasks
  • How design decisions cascade through passes (e.g., "trait discovery friction")

Representative Examples

Before enhancement (technical focus):

## Traits

Traits are mixins that add behavior to operations. Add the Pure trait to enable optimizations.

After enhancement (pedagogical depth):

## Traits: Inverting the Optimization Burden

When you define a custom dialect, there's a traditional problem: how do you get existing
compiler infrastructure to work with your new operations? The naive answer: write custom
passes for every optimization. This doesn't scale.

Traits invert this burden. Rather than making passes know about your dialect, you make
your dialect declare properties that passes already understand. The trait is a contract, 
a zero-method interface that declares behavioral properties.

However, Jeremy's candid observation: "To figure out what each trait does, you have to
dig through the pass implementations." The official traits list "is missing quite a few."
This discovery friction is real...

This enhancement approach ensures learners understand not just what to do, but why design decisions were made, when to apply different techniques, and what limitations exist in practice.

Complete Tutorial List

Beginner Level (Tutorials 1-4)

Time to Complete: estimated 4-6 hours Prerequisites: Basic C++ knowledge, Windows development setup

# Tutorial File Words Status
01 Getting Started 01-getting-started.md 5,525 ✅ Complete
02 Running and Testing 02-running-and-testing.md ~4,500 ✅ Complete
03 Writing First Pass 03-writing-first-pass.md ~3,500 ✅ Complete
04 Using Tablegen 04-using-tablegen.md 4,315 ✅ Complete

Topics Covered:

  • Setting up Windows development environment
  • MLIR architecture and dialects
  • lit/FileCheck testing framework
  • Pattern rewriting and IR manipulation
  • TableGen code generation

Intermediate Level (Tutorials 5-9)

Time to Complete: 10-12 hours Prerequisites: Completed beginner tutorials

# Tutorial File Words Status
05 Defining a Dialect 05-defining-dialect.md 3,908 ✅ Complete
06 Using Traits 06-using-traits.md 3,460 ✅ Complete
07 Folders & Constant Propagation 07-folders-constant-propagation.md 3,591 ✅ Complete
08 Verifiers 08-verifiers.md 3,407 ✅ Complete
09 Canonicalizers 09-canonicalizers.md 3,855 ✅ Complete

Topics Covered:

  • Custom dialect design and implementation
  • Operation traits for optimization
  • Constant folding and propagation
  • IR verification and error messages
  • Declarative rewrite patterns (DRR)

Advanced Level (Tutorials 10-13)

Time to Complete: 8-10 hours Prerequisites: Completed intermediate tutorials

# Tutorial File Words Status
10 Dialect Conversion 10-dialect-conversion.md 3,080 ✅ Complete
11 Lowering through LLVM 11-lowering-through-llvm.md 2,955 ✅ Complete
12 Dataflow Analysis 12-dataflow-analysis.md 3,089 ✅ Complete
13 PDLL Patterns 13-pdll-patterns.md 3,319 ✅ Complete

Topics Covered:

  • Systematic dialect conversion framework
  • Complete lowering pipeline to machine code
  • Dataflow analysis and optimization
  • PDLL (Pattern Description Language)

Key Achievements

✅ Complete Series

All 13 tutorials from Jeremy Kun's original series have been adapted and are available.

✅ Windows-First Approach

Every tutorial includes:

  • PowerShell commands instead of bash
  • CMake build instructions instead of Bazel
  • MSYS2/MinGW64 toolchain references
  • Windows-specific troubleshooting

✅ Self-Contained Learning

All content is in the repository:

  • No external dependencies for learning
  • Links to original articles for additional context
  • Complete code examples from the repository
  • Progressive difficulty curve

✅ Consistent Format

Every tutorial follows the same structure:

  • Original article attribution
  • Windows adaptation note
  • Comprehensive content sections
  • Code examples with explanations
  • Key takeaways
  • Navigation links (previous/next)
  • Additional resources

✅ Practical Focus

Emphasis on:

  • Runnable examples in tests/ directory
  • Complete CMake build configurations
  • Real-world code from the Poly dialect
  • Debugging techniques for Windows
  • FileCheck test patterns

File Structure

mlir-tutorial/
├── docs/
│   ├── tutorials/
│   │   ├── README.md                              # Tutorial index
│   │   ├── 01-getting-started.md                  # Beginner
│   │   ├── 02-running-and-testing.md
│   │   ├── 03-writing-first-pass.md
│   │   ├── 04-using-tablegen.md
│   │   ├── 05-defining-dialect.md                 # Intermediate
│   │   ├── 06-using-traits.md
│   │   ├── 07-folders-constant-propagation.md
│   │   ├── 08-verifiers.md
│   │   ├── 09-canonicalizers.md
│   │   ├── 10-dialect-conversion.md               # Advanced
│   │   ├── 11-lowering-through-llvm.md
│   │   ├── 12-dataflow-analysis.md
│   │   └── 13-pdll-patterns.md
│   └── TUTORIAL_COMPLETION_SUMMARY.md             # This file
├── README.md                                       # Updated with all tutorials
├── QUICKSTART.md                                   # Fast setup guide
├── WINDOWS_SETUP.md                                # Comprehensive Windows guide
└── CHANGELOG-WinOS.md                              # Branch changelog

Learning Paths

Path 1: Complete Beginner

Goal: Learn MLIR from scratch

  1. Complete environment setup (QUICKSTART.md)
  2. Tutorial 01: Getting Started
  3. Tutorial 02: Running and Testing
  4. Tutorial 03: Writing First Pass
  5. Tutorial 04: Using Tablegen
  6. Continue with tutorials 05-13 in order

Estimated Time: 24-30 hours

Path 2: Experienced Compiler Developer

Goal: Learn MLIR-specific features

  1. Skim tutorials 01-02 (setup and basics)
  2. Tutorial 03: Writing First Pass
  3. Tutorial 05: Defining a Dialect
  4. Tutorial 09: Canonicalizers
  5. Tutorial 10: Dialect Conversion
  6. Tutorial 11: Lowering through LLVM

Estimated Time: 12-15 hours

Path 3: Windows Developer Learning MLIR

Goal: Focus on Windows-specific tooling

  1. WINDOWS_SETUP.md (comprehensive Windows guide)
  2. Tutorial 01: Getting Started
  3. Tutorial 02: Running and Testing (lit/FileCheck)
  4. Tutorial 04: Using Tablegen (CMake integration)
  5. Continue with remaining tutorials

Estimated Time: 20-25 hours

Comparison to Original Tutorials

Aspect Original (Jeremy Kun) WinOS-CMake Adaptation
Build System Bazel/CMake CMake focus
Platform macOS/Linux primary Windows primary
LLVM Installation Build from source Pre-built MSYS2 packages
Setup Time 2-4 hours 5-30 minutes
Shell bash PowerShell
Toolchain System compiler MSYS2/MinGW64
Content 100% MLIR concepts 100% MLIR concepts
Examples External links In-repository

Tutorial Features

Common Elements Across All Tutorials

Original Article Links - Attribution and reference to Jeremy Kun's work

Windows Adaptation Note - Clear statement about Windows focus

Comprehensive Content - 2,500-4,500 words per tutorial

Code Examples - 10-20 examples per tutorial with explanations

CMake Integration - Complete build instructions for Windows

PowerShell Commands - Windows-native shell examples

FileCheck Tests - Testing patterns for transformations

Debugging Sections - Windows-specific troubleshooting

Navigation Links - Previous/Next tutorial links

Key Takeaways - Summary of important concepts

Additional Resources - Links to MLIR documentation

Unique Features by Tutorial

  • Tutorial 01: Environment setup, MSYS2 vs MinGW64 explanation
  • Tutorial 02: Complete lit/FileCheck reference
  • Tutorial 03: VSCode debugging configuration
  • Tutorial 04: TableGen generated code explanation
  • Tutorial 05: Complete dialect implementation walkthrough
  • Tutorial 06: Trait-enabled optimization examples
  • Tutorial 07: SCCP pass detailed explanation
  • Tutorial 08: Verification testing with verify-diagnostics
  • Tutorial 09: DRR vs C++ pattern comparison
  • Tutorial 10: Type converter implementation
  • Tutorial 11: Lowering through LLVM overview
  • Tutorial 12: Dataflow/Lattice theory practical application
  • Tutorial 13: PDLL compilation and integration

Usage Instructions

For Users

  1. Clone the repository:

    git clone --branch WinOS-CMake https://github.com/YOUR-FORK/mlir-tutorial.git
    cd mlir-tutorial
  2. Complete setup:

    .\scripts\setup-msys2.ps1
    .\scripts\build-windows.ps1
  3. Start learning:

For Contributors

To add or update tutorials:

  1. Follow existing format (see tutorials 01-13)
  2. Include Windows-specific examples
  3. Use PowerShell for commands
  4. Reference CMake (not Bazel)
  5. Test all code examples
  6. Update navigation links
  7. Add to README.md and tutorials/README.md

Credits

Original Work

Windows Adaptation

  • Branch: WinOS-CMake
  • Focus: Native Windows development with MSYS2/CMake
  • Goal: Support Fidelity Framework F# compiler development

Pedagogical Enhancement

  • Approach: Deep narrative integration from Jeremy Kun's 2023 blog articles
  • Method: Systematic extraction and professional reinterpretation of conceptual insights
  • Scope: 11 tutorials (01, 04-13) enhanced with "between the lines" perspectives
  • Verification: All enhanced tutorials verified against original source material (November 2025)

Acknowledgments

  • LLVM Foundation for MLIR
  • Jeremy Kun for excellent original tutorials and pedagogical depth
  • MSYS2 project for pre-built LLVM packages

Future Enhancements

Potential Additions

  • Video walkthroughs for key tutorials
  • Additional Windows-specific optimization tips
  • Integration examples with F# Fidelity Framework
  • Tracy profiler integration tutorial
  • Advanced debugging techniques tutorial
  • Performance comparison: Windows vs Linux MLIR

Community Contributions

We welcome:

  • Tutorial improvements and corrections
  • Additional Windows-specific tips
  • More examples and use cases
  • Better explanations of complex topics

License

Same as the original mlir-tutorial repository: Apache 2.0 with LLVM Exceptions

Support


Status:COMPLETE - All 13 tutorials available for Windows-native MLIR development!

Enhancement:PEDAGOGICALLY ENRICHED - 11 tutorials feature deep narrative integration from Jeremy Kun's original blog articles, verified for accuracy and completeness (November 2025)

Last Updated: 2025-11-11