Multpass

Multpass, or multi-pass, is a term used in computing to describe processes that analyze or transform data by performing multiple passes over the input or an intermediate representation. Each pass undertakes a distinct task and typically relies on information produced by earlier passes. This approach contrasts with single-pass processing, where the entire operation is completed in one traversal.

In compiler design, multi-pass compilers perform several passes over source code or its intermediate representations. Early passes may perform lexical analysis and parsing, while later passes handle semantic checks, type checking, and code generation or optimization. Separating concerns across passes can simplify implementation, enable specific optimizations, and reduce memory requirements, at the cost of potential increased total run time and more complex data transfer between passes. Historically, two-pass compilers were common, especially when memory was limited.

Multpass techniques extend beyond compilers. In data processing and information retrieval, systems may process input in stages—for example, an analysis pass collects statistics or normalizes data, followed by a second pass that builds an index or generates summarized output. Multi-pass algorithms also appear in image and audio processing, where successive passes refine results.

Advantages include modular design, easier testing, and lower peak memory usage; disadvantages include slower processing due to repeated traversals and added coordination complexity. See also single-pass, compiler, data processing pipeline, multi-pass algorithm.