Optimize life_bitpacked.pl for 3x performance improvement#281
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Key optimizations: - SIMD-style parallel algorithm using full-adder trees to count all 32 neighbors simultaneously (~30 bitwise ops per word vs 8 calls per bit) - 16-bit braille lookup table for fast display (4 columns at once) - Lazy table initialization to avoid overhead when not displaying - Added flat 1D array variant for comparison - Cell updates per second metric with K/M/G formatting - Comprehensive code comments explaining algorithms I/O optimization: - Simplified StandardIO.java: removed thread-based queue, use direct BufferedOutputStream with 64KB buffer for faster terminal output Performance (100x100 grid, 5000 generations): - Computation: ~1500 gen/s (was ~50 gen/s with scalar) - Cell throughput: ~15 Mcells/s New defaults: 100x100 grid, 5000 generations, parallel algorithm Generated with [Devin](https://cli.devin.ai/docs) Co-Authored-By: Devin <noreply@cognition.ai>
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Summary
Performance
Test plan
Generated with Devin