EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·Jul 29·5 min read
Overengineered calculator: Zig + QBE
TL;DR
A new project demonstrates how to convert source code into native machine code using QBE, a compact and efficient compiler backend. This approach simplifies the process of code generation without the overhead of creating a new programming language.
✦ Why It Matters
Explore QBE for efficient code generation in your next compiler project.
Key Takeaways
- Implement a tokenizer to parse input expressions.
- Define grammar rules for operator precedence.
- Use QBE for efficient code generation.
- Create a native executable from source code.
How It Works
The project utilizes a grammar to define arithmetic expressions, allowing the tokenizer to categorize input into tokens. The parser constructs an Abstract Syntax Tree (AST) from these tokens, which the interpreter evaluates to compute results.
The QBE code emitter translates AST operations into intermediate language instructions, optimizing the output for performance.