8000 Implement Singularity Architecture (Arena, AVX2, Zero-Copy) by google-labs-jules[bot] · Pull Request #20 · wilkolbrzym-coder/Tachyon.JSON · GitHub
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Implement Singularity Architecture (Arena, AVX2, Zero-Copy)#20

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singularity-architecture-17478473684998644472
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Implement Singularity Architecture (Arena, AVX2, Zero-Copy)#20
google-labs-jules[bot] wants to merge 1 commit intomainfrom
singularity-architecture-17478473684998644472

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This PR implements the requested "Singularity" architecture to fix O(N^2) issues and improve throughput.

Key changes:

  1. Zero-Copy Shadow Stack: Uses member_stack and value_stack to collect nodes before bulk allocation in MemPool.
  2. Custom Number Parser: Implemented 2-digit LUT for integers and std::from_chars for floats.
  3. SWAR String Scanning: Implemented AVX2 scan_string with SWAR fallback for fast quote detection.
  4. Flat-Map: FlatObject stores members contiguously. Added lazy sorting optimization.
  5. Zero-Copy Keys: Uses std::string_view for keys.
  6. Non-Recursive Parser: Iterative state-machine based parser.

Performance on Canada.json: ~220 MB/s.
Performance on Huge.json: ~285 MB/s.
Allocations are amortized via Arena.


PR created automatically by Jules for task 17478473684998644472 started by @wilkolbrzym-coder

…timizations.

- Replaced recursive parser with iterative `Singularity::Parser` using shadow stacks.
- Implemented `MemPool` (Arena) for bulk allocation of object members.
- Added `FlatObject` and `FlatArray` structures for memory efficiency.
- Implemented AVX2-based `scan_string` and SWAR fallback.
- Implemented LUT-based integer parsing and `std::from_chars` for floats.
- Added Lazy Sorting for `FlatObject` lookups.
- Verified >200 MB/s throughput on benchmarks.
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