Add 51-module HPC extension for cognitive computing and SIMD

[AdaWorldAPI]

Summary

This PR adds a comprehensive 51-module src/hpc/ extension to ndarray, implementing high-performance cognitive computing primitives, hierarchical clustering, binary neural networks, and SIMD-accelerated operations. The extension totals ~52K lines of production code spanning hyperdimensional computing (HDC), vector symbolic architectures (VSA), causal reasoning, and specialized search algorithms.

Key Changes

Core Cognitive Computing

• fingerprint.rs: 16384-bit binary fingerprint containers with XOR/AND/OR operations
• hdc.rs: Hyperdimensional computing primitives (binding, bundling, unbinding)
• vsa.rs: Vector Symbolic Architecture operations and resonator networks
• node.rs: SPO (Subject-Predicate-Object) semantic nodes with three-plane architecture
• plane.rs: Binary plane storage and manipulation (2048-byte containers)

Hierarchical Clustering & Search

• clam.rs: CLAM tree implementation (divisive hierarchical clustering with LFD estimation per CAKES arXiv:2309.05491)
• clam_search.rs: Triangle-inequality exact k-NN and rho-NN search on CLAM trees
• clam_compress.rs: panCAKES hierarchical XOR-diff compression (Algorithm 2 from arXiv:2409.12161)

Binary Neural Networks

• bnn.rs: BNN inference primitives using XNOR + popcount on Fingerprint containers
• bnn_cross_plane.rs: Cross-plane partial binding algebra for 3D SPO inference with 6-type halo lattice
• bnn_causal_trajectory.rs: Causal trajectory hydration via BNN instrumentation with EWM tier classification and BPReLU asymmetry

Encoding & Compression

• crystal_encoder.rs: Three-phase SPO crystal encoding pipeline (external embeddings → distillation → NSM-based encoding)
• deepnsm.rs: 65 semantic primes → 40K derived concept decomposition (Natural Semantic Metalanguage)
• compression_curves.rs: Benchmark suite comparing SPO bundle vs SimHash, binary quantization, PQ, and random projection

Search & Indexing

• cascade.rs: HDR (High Dynamic Range) 3-stroke adaptive cascade for Hamming-based nearest-neighbor search
• cam_index.rs: Content-Addressable Memory index using multi-probe LSH on 3-channel GraphHV vectors
• arrow_bridge.rs: Zero-copy Arrow/Lance interop for cognitive types

Specialized Data Structures

• blackboard.rs: HashMap-based arena allocator for heterogeneous typed data
• binding_matrix.rs: 3D XYZ binding popcount spatial matrix for spectral analysis of HDC binding space
• cyclic_bundle.rs: Cyclic-permutation bundling benchmark (golden shift = 3130 for 8192-bit fingerprints)
• bf16_truth.rs: BF16-structured Hamming distance with per-field weighted popcount
• causality.rs: Causality decomposition over qualia-space dimensions with NARS-style truth values

BLAS & Linear Algebra

• blas_level1.rs: Vector-vector operations (dot, axpy, scal, nrm2, asum, iamax, copy, swap)
• blas_level2.rs: Matrix-vector operations (gemv, ger, symv, trmv, trsv)
• blas_level3.rs: Matrix-matrix operations (gemm, syrk, trsm, symm)
• lapack.rs: LAPACK wrappers for eigendecomposition and linear system solving

Bitwise & Vectorized Operations

• bitwise.rs: SIMD-accelerated Hamming

https://claude.ai/code/session_016aBqiCbervJuHxVAEHdHvz

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