[dicp] Implement Stage-Major Unrolling and NPU Pipeline Analysis #136
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This commit introduces a robust framework for software pipelining on NPU targets by implementing stage-based loop partitioning and unrolling. 1. StageDependencyAnalyzer: - Partitions scf.for loops into stages via sync primitives. - Builds dependency DAGs using SSA and AliasAnalysis for safe reordering. 2. DimAnalyzer & DimensionDisjointSet: - Uses DSU to track dimension equivalence across operations. - Propagates Parallel/Reduction properties to guide tiling heuristics. 3. NPUUnrollPipeline: - Executes Stage-Major unrolling with automated Hivm flag management. - Handles complex iter_arg propagation across unrolled iterations.
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This commit introduces a robust framework for software pipelining on NPU targets by implementing stage-based loop partitioning and unrolling.
StageDependencyAnalyzer:
DimAnalyzer & DimensionDisjointSet:
NPUUnrollPipeline: