Commit 4718401
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feat: Add automatic type inference and SIMD-accelerated core algorithms
This commit introduces a major capability to automatically refine variable types during decompilation and overhauls the core algorithmic foundation with SIMD acceleration and cache-friendly data structures to support real-time analysis.
Primary changes:
include/structor/type_fixer.hpp (new):
- Implemented TypeFixer to analyze variable access patterns in Hex-Rays cfuncs.
- Detects and repairs generic types (void* -> struct*, int -> pointer).
- Configurable thresholds for applying fixes based on inference confidence.
include/structor/simd.hpp (new):
- Added portable SIMD abstraction layer supporting AVX-512, AVX2, SSE4.1, and NEON.
- Provides unified interface for vector loads, stores, and arithmetic.
include/structor/optimized_algorithms.hpp (new):
- Implemented O(n log n) sweep-line algorithm for interval overlap detection, replacing O(n^2) pairwise checks.
- Added SIMD-accelerated binary GCD and batch coverage analysis.
include/structor/optimized_containers.hpp (new):
- Added Arena and ObjectPool allocators to reduce heap fragmentation during synthesis.
- Implemented FlatUnionFind and FlatHashSet for cache-locality improvements.
- Added SmallVector for inline storage optimization.
src/plugin.cpp:
- Hooked Hex-Rays `hxe_func_printed` event to trigger automatic type fixing.
- Added IDC bindings for manual type analysis and fixing (e.g., `structor_fix_function_types`).
src/z3/layout_constraints.cpp & src/z3/field_candidates.cpp:
- Integrated optimized algorithms into the constraint generation pipeline.
- Replaced naive overlap checks with sweep-line implementation.
- Added prefetching hints for candidate traversal.
src/z3/type_lattice.cpp:
- Added memoization (caching) for Least Upper Bound (LUB) and Greatest Lower Bound (GLB) operations.
- Improved type hashing using FNV-1a with golden ratio mixing to reduce collisions.
bench/ (new):
- Added comprehensive benchmark suite comparing naive vs. optimized implementations.
Impact:
- User Experience: Decompiled code now automatically receives better type definitions without manual intervention.
- Performance: Constraint generation for large structures is significantly faster due to algorithmic complexity reduction (O(n^2) -> O(n log n)) and hardware acceleration.
- Reliability: Type inference is conservative by default but can be tuned via config.1 parent a7876d0 commit 4718401
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