⚡ Optimize BitVector write_to_file performance with vectorized operations - #62
⚡ Optimize BitVector write_to_file performance with vectorized operations#62google-labs-jules[bot] wants to merge 5 commits into
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…operations This commit replaces the nested loop for bitwise byte calculation with a faster approach using `array.tobytes()` and `bytes.translate()`. It handles machine endianness to ensure identical output byte order on big-endian systems, dropping the time taken from ~3.8 seconds to ~0.003 seconds for writing an 8-million-bit vector.
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…erations This commit replaces the nested loop for bitwise byte calculation with a faster approach using `array.tobytes()` and `bytes.translate()`. It handles machine endianness to ensure identical output byte order on big-endian systems, dropping the time taken from ~3.8 seconds to ~0.003 seconds for writing an 8-million-bit vector.
…erations This commit replaces the nested loop for bitwise byte calculation with a faster approach using `array.tobytes()` and `bytes.translate()`. It handles machine endianness to ensure identical output byte order on big-endian systems, dropping the time taken from ~3.8 seconds to ~0.003 seconds for writing an 8-million-bit vector.
…erations This commit replaces the nested loop for bitwise byte calculation with a faster approach using `array.tobytes()` and `bytes.translate()`. It handles machine endianness to ensure identical output byte order on big-endian systems, dropping the time taken from ~3.8 seconds to ~0.003 seconds for writing an 8-million-bit vector.
…erations This commit replaces the nested loop for bitwise byte calculation with a faster approach using `array.tobytes()` and `bytes.translate()`. It handles machine endianness to ensure identical output byte order on big-endian systems, dropping the time taken from ~3.8 seconds to ~0.003 seconds for writing an 8-million-bit vector.
💡 What: Replaced the bit-by-bit generation loop in
write_to_filewith C-level vectorized equivalents (array.tobytes()andbytes.translate()) using a static 256-byte lookup table (_BYTE_REVERSE_TABLE). Machine endianness is now detected withsys.byteorder, ensuring bits map predictably across platforms.🎯 Why: The previous approach iteratively calculated bytes using a nested Python loop (
for bit in range(8)insidefor byte in range(size/8)), creating a massive bottleneck due to bytecode evaluation overhead. Vectorization moves this work to C.📊 Measured Improvement: Writing an 8,000,000-bit
BitVectorimproved dramatically.Baseline execution time (using nested loops): ~3.81 seconds
Optimized execution time (with tobytes+translate): ~0.003 seconds
Improvement multiplier: > 1,000x speedup on file writing.
PR created automatically by Jules for task 15530617620813966615 started by @schwehr