Single-pass vs multi-pass compilers in Compiler Design - Performance Comparison
When compiling code, the time it takes depends on how many times the compiler reads the source code.
We want to understand how the number of passes affects the work done as the code size grows.
Analyze the time complexity of these simplified compiler passes.
// Single-pass compiler
for each line in source_code:
analyze(line)
generate_code(line)
// Multi-pass compiler
for each pass in passes:
for each line in source_code:
analyze_or_generate(line, pass)
This code shows a single-pass compiler processing each line once, and a multi-pass compiler processing all lines multiple times.
Look at the loops that repeat work.
- Primary operation: Processing each line of source code.
- How many times: Once per line in single-pass; multiple times (number of passes) per line in multi-pass.
As the number of lines (n) grows, the work grows proportionally.
| Input Size (n) | Approx. Operations (Single-pass) | Approx. Operations (Multi-pass, 3 passes) |
|---|---|---|
| 10 | 10 | 30 |
| 100 | 100 | 300 |
| 1000 | 1000 | 3000 |
Pattern observation: Both grow linearly with input size, but multi-pass does more work by repeating passes.
Time Complexity: O(n)
This means the time grows directly with the number of lines, whether single or multi-pass, but multi-pass multiplies the work by the number of passes.
[X] Wrong: "Multi-pass compilers always have worse time complexity than single-pass."
[OK] Correct: Both grow linearly with input size; multi-pass just repeats work a fixed number of times, so complexity class stays the same.
Understanding how passes affect compiler time helps you explain trade-offs clearly and shows you grasp how work scales with input size.
What if the number of passes depended on the input size? How would that change the time complexity?