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Optimizing a Math Expression Parser in Rust


Optimizing a math expression parser for speed and memory.

This time, we’ll look at a different, self-contained problem: writing a math expression parser in Rust, and making it as fast and memory-efficient as possible. Result In summary, by using SIMD, we can perform an initial, extremely fast pass to identify optimal split points in the input, and then process each chunk in parallel. After profiling the memory usage of our parallel solution, we can see that we’re still allocating a very large buffer on the heap to hold the entire file’s contents.

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