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318# Changelog
## [2.1.0] - Comprehensive Pattern Support (18 Archetypes, 60+ Variants)
### Added
#### New Pattern Matchers (11 new matchers)
- **Attention Pattern** (`lib/patterns/matchers/attention.ts`)
- Flash Attention detection (Q @ K^T, online softmax, @ V)
- Multi-head attention detection
- Causal/cross attention variants
- Variants: `flash_attention`, `flash_attention_v2`, `multi_head_attention`, `causal_attention`, `cross_attention`
- **Convolution Pattern** (`lib/patterns/matchers/convolution.ts`)
- 1D/2D/3D convolution detection
- Depthwise and grouped convolution
- Winograd, im2col, implicit GEMM detection
- Variants: `conv_1d`, `conv_2d`, `conv_3d`, `conv_depthwise`, `conv_grouped`, `conv_winograd`, `conv_im2col`, `conv_implicit_gemm`
- **Sorting Pattern** (`lib/patterns/matchers/sorting.ts`)
- Bitonic sort network detection
- Radix sort detection
- Merge sort detection
- Variants: `bitonic_sort`, `bitonic_sort_shared`, `radix_sort`, `merge_sort`
- **Pooling Pattern** (`lib/patterns/matchers/pooling.ts`)
- Max/average pooling detection
- Global and adaptive pooling
- Variants: `max_pool_2d`, `avg_pool_2d`, `global_avg_pool`, `global_max_pool`, `adaptive_avg_pool`, `adaptive_max_pool`
- **Normalization Pattern** (`lib/patterns/matchers/normalization.ts`)
- LayerNorm, BatchNorm, RMSNorm detection
- GroupNorm, InstanceNorm detection
- Variants: `layernorm`, `rmsnorm`, `batchnorm`, `groupnorm`, `instancenorm`
- **Embedding Pattern** (`lib/patterns/matchers/embedding.ts`)
- Embedding table lookup detection
- Embedding bag (sum/mean) detection
- Positional embedding detection
- Variants: `embedding_lookup`, `embedding_bag`, `positional_embedding`
- **RoPE Pattern** (`lib/patterns/matchers/rope.ts`)
- Rotary Position Embedding detection
- Standard (LLaMA) and NeoX-style detection
- Precomputed sin/cos cache detection
- Variants: `rope_standard`, `rope_neox`, `rope_cached`
- **KV Cache Pattern** (`lib/patterns/matchers/kvcache.ts`)
- KV cache append detection
- Paged attention cache detection
- Prefix caching detection
- GQA cache detection
- Variants: `kvcache_append`, `kvcache_paged`, `kvcache_prefix`, `kvcache_gqa`
- **Quantization Pattern** (`lib/patterns/matchers/quantization.ts`)
- INT8 symmetric/asymmetric quantization
- INT4 group-wise quantization
- FP8 (E4M3/E5M2) quantization
- Dequantization kernels
- Variants: `quant_int8`, `quant_int4`, `quant_fp8`, `quantize`, `dequantize`
- **FFT Pattern** (`lib/patterns/matchers/fft.ts`)
- Butterfly computation detection
- Bit-reversal permutation detection
- Twiddle factor usage
- Variants: `fft_radix2`, `fft_radix4`, `fft_radix8`, `inverse_fft`, `real_fft`
- **Fused Pattern** (`lib/patterns/matchers/fused.ts`)
- Multi-phase kernel detection
- Fused matmul + activation
- Fused conv + batchnorm
- Fused layernorm + residual
- Variants: `matmul_activation`, `matmul_bias_activation`, `conv_batchnorm`, `layernorm_residual`
#### New Code Generation Templates (14 template files)
- **Attention Templates** (`lib/codegen/templates/attention.ts`)
- Flash Attention with online softmax
- Multi-head attention
- Causal attention with masking
- **Convolution Templates** (`lib/codegen/templates/convolution.ts`)
- Conv2D with im2col, implicit GEMM
- Depthwise convolution
- Winograd convolution
- **Sorting Templates** (`lib/codegen/templates/sorting.ts`)
- Bitonic sort (shared memory variant)
- Radix sort with histogram
- **Pooling Templates** (`lib/codegen/templates/pooling.ts`)
- Max/average pooling 2D
- Global pooling
- Adaptive pooling
- **Normalization Templates** (`lib/codegen/templates/normalization.ts`)
- LayerNorm, RMSNorm, BatchNorm
- GroupNorm, InstanceNorm
- **Embedding Templates** (`lib/codegen/templates/embedding.ts`)
- Embedding lookup
- Embedding bag with reduction
- **RoPE Templates** (`lib/codegen/templates/rope.ts`)
- Standard RoPE (LLaMA style)
- NeoX-style interleaved RoPE
- Cached RoPE with precomputed sin/cos
- **KV Cache Templates** (`lib/codegen/templates/kvcache.ts`)
- KV cache append
- Paged attention KV cache
- GQA cache update
- **Quantization Templates** (`lib/codegen/templates/quantization.ts`)
- INT8 quantize/dequantize
- INT4 group-wise quantization
- FP8 quantization
- **FFT Templates** (`lib/codegen/templates/fft.ts`)
- Radix-2, Radix-4 FFT
- Inverse FFT
- **Fused Templates** (`lib/codegen/templates/fused.ts`)
- Matmul + activation fusion
- Conv + batchnorm fusion
- **GEMM Templates** (`lib/codegen/templates/gemm.ts`)
- Naive, tiled, register-blocked GEMM
- **Histogram Templates** (`lib/codegen/templates/histogram.ts`)
- Atomic and privatized histogram
- **Sparse Templates** (`lib/codegen/templates/sparse.ts`)
- CSR, COO, ELL SpMV
- CSR SpMM
#### Enhanced Intrinsics Database
- Added 50+ new intrinsics for LLM patterns
- Type conversion intrinsics (`__float2half`, `__half2float`, etc.)
- Extended math intrinsics (`tanhf`, `erff`, `roundf`, etc.)
- Tensor core intrinsics (wmma operations)
- New pattern hints: convolution, sorting, pooling, normalization, embedding, rope, kvcache, quantization
### Changed
- **Pattern Matcher Orchestrator** (`lib/patterns/matcher.ts`)
- Registered all 18 pattern matchers
- Added phase analysis boosts for new patterns
- Improved pattern disambiguation
- **Code Generator** (`lib/codegen/generator.ts`)
- Added routing for all 18 archetypes
- Template selection based on variant
- Enhanced IR building for new patterns
- **IR Builder** (`lib/ir/builder.ts`)
- Added specialized IR configs for each new archetype
- LLM-specific IR configurations (attention, rope, kvcache)
- ML/DL IR configurations (conv, pool, norm)
- **AST Types** (`lib/ast/types.ts`)
- Added all 18 archetypes to KernelArchetype
- Added 60+ variants to PatternVariant
### Fixed
- Syntax error in rope.ts pattern matcher (missing parenthesis)
- Type import error in convolution.ts (PatternEvidence → Evidence)
- Variant type casting in pattern matchers
---
## [2.0.0] - Enhanced Transpiler Architecture
### Added
#### Parser Enhancement
- **CUDA Intrinsics Database** (`lib/parser/intrinsics.ts`)
- ~100 CUDA intrinsics categorized by type
- Pattern hints for each intrinsic
- Categories: warp_shuffle, warp_vote, warp_reduce, atomic, sync, math, memory, bit_manipulation
- **Enhanced CUDA Parser** (`lib/parser/cuda-parser.ts`)
- Intrinsic call detection and classification
- Index pattern analysis (linear, 2D, strided, indirect, complex)
- Warp operation detection
- Loop analysis with stride halving/doubling detection
- Reduction pattern detection
- Accumulation pattern detection
- Shared memory usage analysis with bank conflict detection
- Pattern signal generation for improved matching
#### Semantic Analysis Layer
- **Semantic Analyzer** (`lib/ast/semantic-analyzer.ts`)
- Reduction variable detection (sum, product, max, min)
- Induction variable detection
- Access pattern classification
- Data flow analysis (inputs, outputs, dependencies)
- Race condition detection
- Barrier divergence checking
- Parallelism type classification
- Compute intensity metrics
- **Memory Analyzer** (`lib/ast/memory-analyzer.ts`)
- Global memory coalescing analysis
- Shared memory bank conflict detection
- Register pressure estimation
- Tile size recommendations per pattern
- Memory layout analysis
- Optimization hint generation
#### New Pattern Matchers
- **Histogram Pattern** (`lib/patterns/matchers/histogram.ts`)
- Detects atomic increment patterns
- Bin calculation detection
- Shared memory privatization detection
- Variants: `histogram_atomic`, `histogram_privatized`
- **Sparse Matrix Pattern** (`lib/patterns/matchers/sparse.ts`)
- CSR format detection (row_ptr, col_idx, values)
- COO format detection
- ELL format detection
- Indirect access pattern detection
- Variants: `spmv_csr`, `spmv_coo`, `spmv_ell`
#### Enhanced Existing Matchers
- **Reduction Matcher** - Added variants:
- `tree_reduction` - Standard shared memory tree
- `warp_shuffle` - Warp shuffle intrinsics
- `multi_block` - Atomic inter-block
- `segmented` - Per-row/segment reduction
- **Stencil Matcher** - Added variants:
- `stencil_1d_3pt` - 1D 3-point stencil
- `stencil_1d_5pt` - 1D 5-point stencil
- `stencil_2d_5pt` - 2D cross pattern (5-point)
- `stencil_2d_9pt` - 2D box pattern (9-point)
- `stencil_3d` - 3D 7-point stencil
#### IR Optimization
- **Enhanced IR Types** (`lib/ir/types.ts`)
- Extended IR with variant support
- CUDA to cuTile type mapping
- Tile strategy definitions
- Optimization hint types
- Memory layout info
- **IR Optimizer** (`lib/ir/optimizer.ts`)
- Pattern-specific tile optimization
- Variant-aware configuration
- Memory analysis integration
- Performance hint generation
#### Code Generation Templates
- **Reduction Templates** (`lib/codegen/templates/reduction.ts`)
- Tree reduction template
- Warp shuffle reduction template
- Multi-block reduction template
- Segmented reduction template
- **Stencil Templates** (`lib/codegen/templates/stencil.ts`)
- 1D 3-point stencil template
- 1D 5-point stencil template
- 2D 5-point stencil template
- 2D 9-point stencil template
- 3D stencil template
#### Diagnostics System
- **Comprehensive Diagnostics** (`lib/validation/diagnostics.ts`)
- Diagnostic codes (E1xx-E5xx, W2xx-W5xx, I4xx-I6xx)
- Severity levels (error, warning, info, hint)
- Categories (parse, pattern, semantic, memory, codegen, performance, correctness)
- Suggestion system
- Related diagnostic info
#### Visualization
- **Enhanced Pipeline Visualization** (`app/components/ScientificVisualization.tsx`)
- 9-stage pipeline visualization
- Analysis layer (blue) boundary
- Blackwell GPU target (green) boundary
- Pattern labels showing all 7 patterns
- Variant information display
- Memory analysis feedback loop
- Tooltips with detailed descriptions
### Changed
- **Transpiler Integration** (`lib/transpiler.ts`)
- Enhanced result type with semantic/memory analysis
- Pattern detection including new histogram and sparse patterns
- Variant-specific template selection
- Diagnostic integration
- Confidence boosting from enhanced analysis
- **AST Types** (`lib/ast/types.ts`)
- Added `PatternVariant` type with all variants
- Extended `PatternMatch` with optional variant field
- Added histogram and sparse to `KernelArchetype`
- **Pattern Types** (`lib/patterns/types.ts`)
- Updated `createPatternMatch` for variant support
### Fixed
- Pattern confidence calculation now includes enhanced analysis signals
- Visualization now accurately reflects the pipeline architecture
## [1.0.0] - Initial Release
### Added
- Basic CUDA to cuTile transpilation
- 5 pattern matchers (elementwise, gemm, reduction, scan, stencil)
- Evidence-weighted confidence scoring
- Template-based code generation
- Basic validation
- Scientific visualization component
- Theme support (light/dark mode)