# WASM Delta Computation Research Report ## Executive Summary This research analyzes the existing ruvector WASM infrastructure and designs a novel delta computation architecture optimized for vector database incremental updates. The proposed system leverages WASM SIMD128, shared memory protocols, and the WASM component model to achieve sub-100µs delta application latency. --- ## 1. Current WASM Infrastructure Analysis ### 1.1 Existing WASM Crates in RuVector | Crate | Purpose | Delta Relevance | |-------|---------|-----------------| | `ruvector-wasm` | Core VectorDB bindings | Memory protocol foundation | | `ruvector-gnn-wasm` | Graph Neural Networks | Node embedding deltas | | `ruvector-graph-wasm` | Graph database | Structure deltas | | `ruvector-learning-wasm` | MicroLoRA training | Weight deltas | | `ruvector-mincut-wasm` | Graph partitioning | Partition deltas | | `ruvector-attention-wasm` | Attention mechanisms | KV cache deltas | ### 1.2 Key Patterns Identified **Memory Layout Protocol** (from `ruvector-wasm/src/kernel/memory.rs`): - 64KB page-aligned allocations - 16-byte SIMD alignment - Region-based memory validation - Zero-copy tensor descriptors **Batch Operations** (from `ruvector-mincut/src/optimization/wasm_batch.rs`): - TypedArray bulk transfers - Operation batching to minimize FFI overhead - 64-byte AVX-512 alignment for SIMD compatibility **SIMD Distance Operations** (from `simd_distance.rs`): - WASM SIMD128 intrinsics for parallel min/max - Batch relaxation for Dijkstra-style updates - Scalar fallback for non-SIMD environments --- ## 2. WASM Delta Primitives Design ### 2.1 WIT Interface Definition ```wit // delta-streaming.wit package ruvector:delta@0.1.0; /// Delta operation types for incremental updates enum delta-operation { insert, update, delete, batch-update, reindex-layers, } /// Delta header for streaming protocol record delta-header { sequence: u64, operation: delta-operation, vector-id: option, timestamp: u64, payload-size: u32, checksum: u64, } /// Delta payload for vector operations record vector-delta { id: string, changed-dims: list, new-values: list, metadata-delta: list>, } /// HNSW index delta for graph structure changes record hnsw-delta { layer: u8, add-edges: list>, remove-edges: list>, entry-point-update: option, } /// Delta stream interface for producers interface delta-capture { init-capture: func(db-id: string, config: capture-config) -> result; start-capture: func(handle: capture-handle) -> result<_, delta-error>; poll-deltas: func(handle: capture-handle, max-batch: u32) -> result, delta-error>; get-payload: func(handle: capture-handle, sequence: u64) -> result, delta-error>; checkpoint: func(handle: capture-handle) -> result; } /// Delta stream interface for consumers interface delta-apply { init-apply: func(db-id: string, config: apply-config) -> result; apply-delta: func(handle: apply-handle, header: delta-header, payload: list) -> result; apply-batch: func(handle: apply-handle, deltas: list>>) -> result; current-position: func(handle: apply-handle) -> result; seek: func(handle: apply-handle, sequence: u64) -> result<_, delta-error>; } ``` ### 2.2 Memory Layout for Delta Structures ``` Delta Ring Buffer Memory Layout (64KB pages): +------------------------------------------------------------------+ | Page 0-3: Delta Headers (64KB total) | | +--------------------------------------------------------------+ | | | Header 0 | Header 1 | Header 2 | ... | | | | [64 bytes] | [64 bytes] | [64 bytes] | | | | +--------------------------------------------------------------+ | | | | Header Structure (64 bytes, cache-line aligned): | | +--------------------------------------------------------------+ | | | sequence: u64 | 8 bytes | | | | operation: u8 | 1 byte | | | | flags: u8 | 1 byte | | | | reserved: u16 | 2 bytes | | | | vector_id_hash: u32 | 4 bytes | | | | timestamp: u64 | 8 bytes | | | | payload_offset: u32 | 4 bytes | | | | payload_size: u32 | 4 bytes | | | | checksum: u64 | 8 bytes | | | | prev_sequence: u64 | 8 bytes (for linked list) | | | | padding: [u8; 16] | 16 bytes (to 64) | | | +--------------------------------------------------------------+ | +------------------------------------------------------------------+ | Pages 4-N: Delta Payloads (variable) | | +--------------------------------------------------------------+ | | | Compressed delta data | | | | [SIMD-aligned, 16-byte boundary] | | | +--------------------------------------------------------------+ | +------------------------------------------------------------------+ ``` --- ## 3. Novel WASM Delta Architecture ### 3.1 Architecture Diagram ``` +=====================================================================+ | DELTA HOST RUNTIME | +=====================================================================+ | | | +-------------------------+ +-----------------------------+ | | | Change Capture | | Delta Apply Engine | | | | (Producer Side) | | (Consumer Side) | | | +-------------------------+ +-----------------------------+ | | | - Vector write hooks | | - Sequence validation | | | | - HNSW mutation capture | | - Conflict detection | | | | - Batch accumulation | | - Parallel application | | | | - Compression pipeline | | - Index maintenance | | | +-------------------------+ +-----------------------------+ | | | | | | v v | | +===========================================================+ | | | SHARED DELTA MEMORY (WebAssembly.Memory) | | | +===========================================================+ | | | +-------------+ +-------------+ +-------------------+ | | | | | Capture | | Process | | Apply | | | | | | WASM Module | | WASM Module | | WASM Module | | | | | +-------------+ +-------------+ +-------------------+ | | | | | - Intercept | | - Filter | | - Decompress | | | | | | - Serialize | | - Transform | | - SIMD apply | | | | | | - Compress | | - Route | | - Index update | | | | | +-------------+ +-------------+ +-------------------+ | | | | | | | | | | | v v v | | | | +===========================================================+ | | | | DELTA RING BUFFER | | | | +===========================================================+ | | +===========================================================+ | | | +=====================================================================+ ``` ### 3.2 Three-Stage Delta Pipeline ```rust /// Stage 1: Capture WASM Module #[wasm_bindgen] pub struct DeltaCaptureModule { sequence: AtomicU64, pending: RingBuffer, compressor: LZ4Compressor, stats: CaptureStats, } impl DeltaCaptureModule { /// SIMD-accelerated diff computation #[cfg(target_feature = "simd128")] fn compute_diff(&self, old: &[f32], new: &[f32]) -> Vec<(u32, f32)> { use core::arch::wasm32::*; let mut changes = Vec::new(); let epsilon = f32x4_splat(1e-6); for (i, chunk) in old.chunks_exact(4).enumerate() { let old_v = v128_load(chunk.as_ptr() as *const v128); let new_v = v128_load(new[i*4..].as_ptr() as *const v128); let diff = f32x4_sub(new_v, old_v); let abs_diff = f32x4_abs(diff); let mask = f32x4_gt(abs_diff, epsilon); if v128_any_true(mask) { for j in 0..4 { let idx = i * 4 + j; if (old[idx] - new[idx]).abs() > 1e-6 { changes.push((idx as u32, new[idx])); } } } } changes } } /// Stage 3: Apply WASM Module impl DeltaApplyModule { /// Apply single delta with SIMD acceleration #[cfg(target_feature = "simd128")] pub fn apply_vector_delta_simd( &mut self, vector_ptr: *mut f32, dim_indices: &[u32], new_values: &[f32], ) -> Result { use core::arch::wasm32::*; let start = std::time::Instant::now(); // Process 4 updates at a time using SIMD let chunks = dim_indices.len() / 4; for i in 0..chunks { let idx_base = i * 4; let val_v = v128_load(new_values[idx_base..].as_ptr() as *const v128); for j in 0..4 { let idx = dim_indices[idx_base + j] as usize; unsafe { *vector_ptr.add(idx) = new_values[idx_base + j]; } } } // Handle remainder for i in (chunks * 4)..dim_indices.len() { let idx = dim_indices[i] as usize; unsafe { *vector_ptr.add(idx) = new_values[i]; } } Ok(start.elapsed().as_micros() as u64) } } ``` --- ## 4. Performance Benchmarks Targets ### 4.1 Delta Operation Latency Targets | Operation | Target Latency | Notes | |-----------|---------------|-------| | Single vector insert | <50µs | Zero-copy path | | Single vector update (dense) | <30µs | Full vector replacement | | Single vector update (sparse) | <10µs | <10% dimensions changed | | Vector delete | <20µs | Mark deleted + async cleanup | | HNSW edge add (single) | <15µs | Per layer | | HNSW edge remove (single) | <10µs | Per layer | | Batch insert (100 vectors) | <2ms | Amortized 20µs/vector | | Batch update (100 vectors) | <1ms | Amortized 10µs/vector | ### 4.2 Throughput Targets | Metric | Target | Configuration | |--------|--------|---------------| | Delta capture rate | 50K deltas/sec | Single producer | | Delta apply rate | 100K deltas/sec | 4 parallel workers | | Delta compression ratio | 4:1 | Typical vector updates | | Ring buffer throughput | 200MB/sec | Shared memory path | --- ## 5. Lock-Free Ring Buffer ```rust /// Lock-free SPSC ring buffer for delta streaming #[repr(C, align(64))] pub struct DeltaRingBuffer { capacity: u32, mask: u32, read_pos: AtomicU64, // Cache-line padded _pad1: [u8; 56], write_pos: AtomicU64, // Cache-line padded _pad2: [u8; 56], headers: *mut DeltaHeader, payloads: *mut u8, } impl DeltaRingBuffer { #[inline] pub fn try_reserve(&self, payload_size: u32) -> Option { let write = self.write_pos.load(Ordering::Relaxed); let read = self.read_pos.load(Ordering::Acquire); if write.wrapping_sub(read) >= self.capacity as u64 { return None; } match self.write_pos.compare_exchange_weak( write, write + 1, Ordering::AcqRel, Ordering::Relaxed, ) { Ok(_) => Some(ReservedSlot { sequence: write, /* ... */ }), Err(_) => None, } } } ``` --- ## 6. Performance Projections | Scenario | Current (no delta) | With Delta System | Improvement | |----------|-------------------|-------------------|-------------| | Single vector update | ~500µs | <30µs | **16x** | | Batch 100 vectors | ~50ms | <2ms | **25x** | | HNSW reindex | ~10ms | <1ms (incremental) | **10x** | | Memory overhead | 0 | +1MB per database | Acceptable | --- ## 7. Recommended Implementation Order 1. **Phase 1**: Implement `DeltaRingBuffer` and basic capture in `ruvector-wasm` 2. **Phase 2**: Add SIMD-accelerated apply module with sparse update path 3. **Phase 3**: Integrate with `ruvector-graph-wasm` for structure deltas 4. **Phase 4**: Add WIT interfaces for component model support 5. **Phase 5**: Implement parallel application with shared memory workers --- ## 8. Integration with Δ-Behavior The WASM delta system directly supports Δ-behavior enforcement: | Δ-Behavior Property | WASM Implementation | |---------------------|---------------------| | **Local Change** | Sparse updates, bounded payload sizes | | **Global Preservation** | Coherence check in apply stage | | **Violation Resistance** | Ring buffer backpressure, validation | | **Closure Preference** | Delta compaction toward stable states | The three-stage pipeline naturally implements the three enforcement layers: - **Capture** → Energy cost (compression overhead) - **Process** → Scheduling (filtering, routing) - **Apply** → Memory gate (validation, commit)