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🚀mold: A Massively Parallel Linker Speeds Up Debug Binaries

Debugging just got 112x faster

TL;DR

Rui Ueyama's paper on mold, a massively parallel linker, slashes linking times for multi-gigabyte debug binaries by up to 112x. Debugging just got a lot faster.

Rui Ueyama's paper on mold, a massively parallel linker, slashes linking times for multi-gigabyte debug binaries by up to 112x. Debugging just got a lot faster. Mold applies data parallelism across the entire linking pipeline, leaving existing linkers in the dust. For teams dealing with large binaries, this could mean the difference between hours and seconds of waiting time. The paper, available on arXiv, was accepted to ASPLOS 2027 and details mold's performance gains and architectural insights.

mold: A Massively Parallel Linker Speeds Up Debug Binaries — arXiv.org

Key Points

1

mold, a massively parallel linker, was submitted on August 24, 2026, and accepted to ASPLOS 2027.

2

The paper, titled 'mold: A Massively Parallel Linker', is available on arXiv with identifier arXiv:2608.23228.

3

mold achieves 2.4-16.1x faster performance compared to the state-of-the-art lld linker.

4

mold is up to 112x faster than the traditional GNU ld, linking multi-gigabyte debug binaries in under a second.

5

The paper analyzes the architectural constraints preventing existing linkers from scaling and shows how mold overcomes these limitations.

Why It Matters

If you're dealing with large binaries in your development workflow, mold could cut your linking time from hours to seconds. For teams working with multi-gigabyte debug binaries, this is a game-changer. The speedup comes from systematically applying data parallelism across the entire linking pipeline, leaving most existing linkers far behind.

moldparallel-linkerdebuggingperformance-optimizationasplos-2027

Frequently Asked Questions

Why does this matter?

If you're dealing with large binaries in your development workflow, mold could cut your linking time from hours to seconds. For teams working with multi-gigabyte debug binaries, this is a game-changer. The speedup comes from systematically applying data parallelism across the entire linking pipeline, leaving most existing linkers far behind.

What happened?

Rui Ueyama's paper on mold, a massively parallel linker, slashes linking times for multi-gigabyte debug binaries by up to 112x. Debugging just got a lot faster.

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