604b4e46c8
Message ID computation makes extensive use of big integer multiplications in order to translate the message's fingerprint into a numerical representation. In large compilations with heavy use of i18n this was showing up high in profiler sessions. There are two factors contributing to the bottleneck: 1. a suboptimal big integer representation using strings, which requires repeated allocation and conversion from a character to numeric digits and back. 2. repeated computation of the necessary base-256 exponents and their multiplication factors. The first bottleneck is addressed using a representation that uses an array of individual digits. This avoids repeated conversion and allocation overhead is also greatly reduced, as adding two big integers can now be done in-place with virtually no memory allocations. The second point is addressed by a memoized exponentiation pool to optimize the multiplication of a base-256 exponent. As an additional optimization are the two 32-bit words now converted to decimal per word, instead of going through an intermediate byte buffer and doing the decimal conversion per byte. The results of these optimizations depend a lot on the number of i18n messages for which a message should be computed. Benchmarks have shown that computing message IDs is now ~6x faster for 1,000 messages, ~14x faster for 10,000 messages, and ~24x faster for 100,000 messages. PR Close #39694 |
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