Xilinx/llvm-aie
Jan 2025 – May 2026
17 Months active
Languages Used
C++MIRLLVM IRTableGenAssemblyCIRTcl
Technical Skills
Compiler DevelopmentEmbedded SystemsLow-Level OptimizationRegister AllocationScheduling AlgorithmsTesting
Andreu Carminati
PROFILE
Andreu Carminati
Worked extensively on the Xilinx/llvm-aie repository, delivering advanced compiler backend features and optimizations for AIE architectures. Focused on low-level code generation, scheduling, and vectorization, the work included implementing hazard recognizers, register allocation strategies, and memory operation optimizations. Leveraged C++ and LLVM IR to refine instruction selection, improve alias analysis, and enhance test coverage for both AIE and AIE2P targets. Addressed complex challenges in loop unrolling, hardware scheduling, and memory alignment, ensuring robust performance and correctness. Maintained a strong emphasis on maintainability and regression safety, consistently expanding test infrastructure and refining backend logic to support evolving hardware and software requirements.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
198Total
Bugs
16
Commits
198
Features
78
Lines of code
52,341
Activity Months17
Your Network
2295 peopleSame Organization
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Work History
May 2026
6 Commits • 1 Features
May 1, 2026Monthly Summary for 2026-05: Xilinx/llvm-aie focused on refining AIE scheduling and improving test coverage, delivering tangible performance improvements and reliable register coalescing behavior across AIE and AIE2PS paths.
6 Commits • 1 Features
May 1, 2026Monthly Summary for 2026-05: Xilinx/llvm-aie focused on refining AIE scheduling and improving test coverage, delivering tangible performance improvements and reliable register coalescing behavior across AIE and AIE2PS paths.
May 2026
April 2026
19 Commits • 4 Features
Apr 1, 2026Summary for 2026-04: This month focused on advancing AIE code generation, expanding combiners, improving scheduling flexibility, and strengthening correctness under complex loop and memory patterns. The work delivered key optimizations in the AIE2PS path, reinforced memory op handling, and introduced infrastructure to optimize type conversions and scheduling within safe, backward-compatible bounds. The changes emphasize business value through faster codegen, better instruction selection, and more robust compiler behavior in edge cases.
April 2026
19 Commits • 4 Features
Apr 1, 2026Summary for 2026-04: This month focused on advancing AIE code generation, expanding combiners, improving scheduling flexibility, and strengthening correctness under complex loop and memory patterns. The work delivered key optimizations in the AIE2PS path, reinforced memory op handling, and introduced infrastructure to optimize type conversions and scheduling within safe, backward-compatible bounds. The changes emphasize business value through faster codegen, better instruction selection, and more robust compiler behavior in edge cases.
March 2026
6 Commits • 3 Features
Mar 1, 2026March 2026 focused on stabilizing and enhancing the LLVM AIE backend (Xilinx/llvm-aie). Delivered targeted fixes and performance optimizations to improve code generation, scheduling, and MIR quality, while introducing test coverage for critical optimization paths.
6 Commits • 3 Features
Mar 1, 2026March 2026 focused on stabilizing and enhancing the LLVM AIE backend (Xilinx/llvm-aie). Delivered targeted fixes and performance optimizations to improve code generation, scheduling, and MIR quality, while introducing test coverage for critical optimization paths.
March 2026
February 2026
28 Commits • 14 Features
Feb 1, 2026February 2026 (2026-02) performance summary for Xilinx/llvm-aie: Delivered a series of refactors, test scaffolds, and feature work that stabilize and extend the AIE backend, with a strong emphasis on correctness, maintainability, and test coverage. Key features delivered include refactoring for fixed-point loop convergence, clearer RegionEndEdges organization, and top-down MBB region processing to ensure correct NOP placement. Expanded test coverage around commit block scheduling and brought up multiple fusion pathways (Pad/Unpad to Copy, Pad/Unpad Fusion, Concat/unpad Fusion, Nested Concat/unpad Flatten) along with alignment and LoopEnd meta-instruction handling. Implemented vector ops CSE combiner, a large-scale refactor to support expandable registers in register allocation, and legalization/workflow improvements (load/store s256 and s128 alignment). Added Vshift to copy combiner tests, and produced related asm printer and meta-instruction tests. Overall, these changes increase reliability, reduce debugging time, and position the backend for further optimization and performance gains.
February 2026
28 Commits • 14 Features
Feb 1, 2026February 2026 (2026-02) performance summary for Xilinx/llvm-aie: Delivered a series of refactors, test scaffolds, and feature work that stabilize and extend the AIE backend, with a strong emphasis on correctness, maintainability, and test coverage. Key features delivered include refactoring for fixed-point loop convergence, clearer RegionEndEdges organization, and top-down MBB region processing to ensure correct NOP placement. Expanded test coverage around commit block scheduling and brought up multiple fusion pathways (Pad/Unpad to Copy, Pad/Unpad Fusion, Concat/unpad Fusion, Nested Concat/unpad Flatten) along with alignment and LoopEnd meta-instruction handling. Implemented vector ops CSE combiner, a large-scale refactor to support expandable registers in register allocation, and legalization/workflow improvements (load/store s256 and s128 alignment). Added Vshift to copy combiner tests, and produced related asm printer and meta-instruction tests. Overall, these changes increase reliability, reduce debugging time, and position the backend for further optimization and performance gains.
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 — Xilinx/llvm-aie: Implemented Prologue scheduling precision using AIERegMemEventTracker to reduce pessimism and improve scheduling efficiency by accurately tracking register events and memory access cycles. The solution aligns prologue behavior with the epilogue by reusing the same locks and events handling. Commit reference: 567215c028ee473041061f29639b956dd1daaa35.
1 Commits • 1 Features
Jan 1, 2026January 2026 — Xilinx/llvm-aie: Implemented Prologue scheduling precision using AIERegMemEventTracker to reduce pessimism and improve scheduling efficiency by accurately tracking register events and memory access cycles. The solution aligns prologue behavior with the epilogue by reusing the same locks and events handling. Commit reference: 567215c028ee473041061f29639b956dd1daaa35.
January 2026
December 2025
10 Commits • 1 Features
Dec 1, 2025December 2025: Delivered key AIE2/AIE2P performance and correctness enhancements, including new postlegalizer and combiner optimizations, AAResults-driven scheduling improvements, memory event timeline tracking to reduce pessimism, and robust SROA/memory alias fixes. These changes improve generated performance, reduce pessimistic scheduling, and increase reliability of AIE2/AIE2P codegen and memory ops, enabling faster time-to-market for AIE-based workloads.
December 2025
10 Commits • 1 Features
Dec 1, 2025December 2025: Delivered key AIE2/AIE2P performance and correctness enhancements, including new postlegalizer and combiner optimizations, AAResults-driven scheduling improvements, memory event timeline tracking to reduce pessimism, and robust SROA/memory alias fixes. These changes improve generated performance, reduce pessimistic scheduling, and increase reliability of AIE2/AIE2P codegen and memory ops, enabling faster time-to-market for AIE-based workloads.
November 2025
3 Commits • 3 Features
Nov 1, 2025November 2025 performance summary for Xilinx/llvm-aie. Key vectorization-related work focused on correctness, performance, and codegen efficiency for the AIE backend. Delivered three primary capabilities: 1) WidenSubvectorLoad vectorization tests across data types and alignment scenarios to validate widening of scalar loads to vector loads. 2) AIE target unaligned vector load cost model to improve memory operation optimization and vectorization performance. 3) Vector element insertion combiner optimization to reduce unnecessary operations when inserting an extracted element into an undef-initialized vector, improving code generation efficiency. No explicit bug-fix commits are listed in this data; the month emphasizes test coverage, performance modeling, and pattern-driven optimizations.
3 Commits • 3 Features
Nov 1, 2025November 2025 performance summary for Xilinx/llvm-aie. Key vectorization-related work focused on correctness, performance, and codegen efficiency for the AIE backend. Delivered three primary capabilities: 1) WidenSubvectorLoad vectorization tests across data types and alignment scenarios to validate widening of scalar loads to vector loads. 2) AIE target unaligned vector load cost model to improve memory operation optimization and vectorization performance. 3) Vector element insertion combiner optimization to reduce unnecessary operations when inserting an extracted element into an undef-initialized vector, improving code generation efficiency. No explicit bug-fix commits are listed in this data; the month emphasizes test coverage, performance modeling, and pattern-driven optimizations.
November 2025
October 2025
18 Commits • 3 Features
Oct 1, 2025October 2025 performance summary for Xilinx/llvm-aie: Delivered significant robustness and performance improvements in AIE register allocation and testing infrastructure. The work focused on latency-aware strategies, copy/live-interval handling, and expanded 2D/3D targeting, supported by a strengthened AIE2P testing framework and vectorizer integration. These changes reduce scheduling stalls for high-latency instructions, improve allocation correctness, and raise regression safety through comprehensive tests and end-to-end validation.
October 2025
18 Commits • 3 Features
Oct 1, 2025October 2025 performance summary for Xilinx/llvm-aie: Delivered significant robustness and performance improvements in AIE register allocation and testing infrastructure. The work focused on latency-aware strategies, copy/live-interval handling, and expanded 2D/3D targeting, supported by a strengthened AIE2P testing framework and vectorizer integration. These changes reduce scheduling stalls for high-latency instructions, improve allocation correctness, and raise regression safety through comprehensive tests and end-to-end validation.
September 2025
13 Commits • 6 Features
Sep 1, 2025Concise monthly summary for 2025-09 focusing on key features delivered, major bugs fixed, impact, and technologies demonstrated for Xilinx/llvm-aie.
13 Commits • 6 Features
Sep 1, 2025Concise monthly summary for 2025-09 focusing on key features delivered, major bugs fixed, impact, and technologies demonstrated for Xilinx/llvm-aie.
September 2025
August 2025
18 Commits • 6 Features
Aug 1, 20252025-08 Monthly Summary for Xilinx/llvm-aie: Delivered foundational reliability, performance, and extension work for the AIE backend. Consolidated improvements across GlobalISel, memory operations, vector/bitcast support, and CSE typing, backed by targeted tests to increase stability and platform readiness. Business value centers on correctness, throughput, and broader target support with maintainable code changes.
August 2025
18 Commits • 6 Features
Aug 1, 20252025-08 Monthly Summary for Xilinx/llvm-aie: Delivered foundational reliability, performance, and extension work for the AIE backend. Consolidated improvements across GlobalISel, memory operations, vector/bitcast support, and CSE typing, backed by targeted tests to increase stability and platform readiness. Business value centers on correctness, throughput, and broader target support with maintainable code changes.
July 2025
22 Commits • 12 Features
Jul 1, 2025July 2025 monthly summary for Xilinx/llvm-aie focused on stability, coverage, and performance improvements across AIEX and AIE2P toolchains. Delivered ZOL-specific safeguards and test refactoring for AIEX, extended AIE2P capabilities with JNZD HL support, integrated EarlyIfConversion with target hooks and tests, introduced vector-based combiner enhancements, and applied a second IPSCCP pass. Additionally, fixed critical exponent register handling and performed core cleanup to simplify maintenance. The changes collectively increase target coverage, reduce risk in ZOL paths, unlock new optimization opportunities, and improve maintainability and code quality.
22 Commits • 12 Features
Jul 1, 2025July 2025 monthly summary for Xilinx/llvm-aie focused on stability, coverage, and performance improvements across AIEX and AIE2P toolchains. Delivered ZOL-specific safeguards and test refactoring for AIEX, extended AIE2P capabilities with JNZD HL support, integrated EarlyIfConversion with target hooks and tests, introduced vector-based combiner enhancements, and applied a second IPSCCP pass. Additionally, fixed critical exponent register handling and performed core cleanup to simplify maintenance. The changes collectively increase target coverage, reduce risk in ZOL paths, unlock new optimization opportunities, and improve maintainability and code quality.
July 2025
June 2025
14 Commits • 6 Features
Jun 1, 2025June 2025 (Xilinx/llvm-aie): Delivered stability, performance-focused optimizations, and robust hazard and pointer handling across the AIE backend. Reconciled IRTranslator GEP behavior to prevent use-before-def risks, improved scheduling density, and strengthened vector legalization coverage, enabling more predictable codegen and safer optimizations. Maintained strong focus on business value: fewer rebuilds due to changes in GEP handling, faster schedules in critical paths, and more robust pointer tracking in loads.
June 2025
14 Commits • 6 Features
Jun 1, 2025June 2025 (Xilinx/llvm-aie): Delivered stability, performance-focused optimizations, and robust hazard and pointer handling across the AIE backend. Reconciled IRTranslator GEP behavior to prevent use-before-def risks, improved scheduling density, and strengthened vector legalization coverage, enabling more predictable codegen and safer optimizations. Maintained strong focus on business value: fewer rebuilds due to changes in GEP handling, faster schedules in critical paths, and more robust pointer tracking in loads.
May 2025
7 Commits • 2 Features
May 1, 2025May 2025 monthly summary for Xilinx/llvm-aie focusing on correctness, performance, and test coverage improvements across the AIE backend. Delivered critical fixes and optimizations with clear business value: improved loop integrity, robust event scheduling, optimized type handling for code generation, and regression-safe GEP constant handling.
7 Commits • 2 Features
May 1, 2025May 2025 monthly summary for Xilinx/llvm-aie focusing on correctness, performance, and test coverage improvements across the AIE backend. Delivered critical fixes and optimizations with clear business value: improved loop integrity, robust event scheduling, optimized type handling for code generation, and regression-safe GEP constant handling.
May 2025
April 2025
11 Commits • 7 Features
Apr 1, 2025April 2025: Delivered performance-oriented AIE enhancements and stabilization across the llvm-aie backend. The work focused on vectorization improvements, loop/pipeline scheduling, and safer optimization through targeted tests and configuration cleanups. These changes improve generated code quality, reduce runtime overhead in vector extraction, and enable more aggressive vector/memory optimizations with maintainable configuration.
April 2025
11 Commits • 7 Features
Apr 1, 2025April 2025: Delivered performance-oriented AIE enhancements and stabilization across the llvm-aie backend. The work focused on vectorization improvements, loop/pipeline scheduling, and safer optimization through targeted tests and configuration cleanups. These changes improve generated code quality, reduce runtime overhead in vector extraction, and enable more aggressive vector/memory optimizations with maintainable configuration.
March 2025
10 Commits • 6 Features
Mar 1, 2025March 2025 (Xilinx/llvm-aie) delivered targeted AIE2P optimizations and reliability improvements, driving tangible improvements in instruction efficiency and analysis accuracy for future performance work. Key work spans merged instruction optimization, refined loop unrolling controls, expanded unrolling opportunities, memory-pattern enhancements, and strengthened alias analysis, backed by focused compiler tests. Key features delivered and business value: - AIE2P VLD/VCONV combined instruction optimization reduced instruction overhead and enabled fused operations under favorable conditions, enabling more efficient code generation for AIE workloads. (Commit: c5b8fae8fa6b9a7f046cf81cb0ca1373af703170) - AIE2P loop unrolling control enhancements with new flags (aie-unroll-partial, aie-unroll-runtime) and pragma-guarded unrolling, delivering safer defaults and finer-grained performance tuning. (Commits: 67396134a4fbc2aad511c1a1801e823428361575; 8978b1c2c895b2f4ea41e8633bfe3a950cec37c1) - AIE2P vector and scalar loop unrolling optimizations recognizing vector loop idioms (e.g., INV, INVSQRT, GET_SS) and enabling scalar loop unrolling to improve non-vectorizable workloads. (Commits: 1517c99843da89b9a83eb903ebef7f28b7268450; 9e7eb42d938f11ad1277d7e202ff155382fa47ed) - AIE2P alignment and vector pattern optimization relaxing vector alignments (<64B) and introducing VPUSH_hi_64 for combining broadcast and shift, with tests validating changes. (Commits: e3f3fbe41b517452b47fadae305fd3305ced58b1; 64ce0e5bfb63f7832022d595ec8337b542fb6d3b) - Alias Analysis enhancements for AIE: virtual unrolling for GEP chains, refactored pointer update tracking, and checks for lock-step GEP chains to improve alias accuracy, plus a correctness fix in AIE intrinsic handling to ensure accurate recurrence PHI checks. (Commits: 334bb5be2bceecba8c0e86b306d2ce04c1279303; c8f8e63676a46ae5fbd82fffa97a6e2f1a75ef21) - AIE compiler testing enhancements focusing on post-pipelining scheduling and alias analysis, including tests for virtual unrolls and GEP scenarios to validate correct pipelining. (Commit: 0dfaf61929e94285f7719e9b164c4e7e77f81049) Overall impact: - Improved potential performance for AIE workloads through reduced instruction overhead and more aggressive, safer unrolling. Improved memory access models and alias precision enable more effective scheduling and vectorization decisions. Strengthened testing coverage supports robust future optimizations and reduces risk when enabling new transforms. Technologies/skills demonstrated: - LLVM-based codegen, AIE target-specific optimizations, loop unrolling strategies, vectorization patterns, memory alignment, alias analysis, PHI/GE P chains, and post-pipelining scheduling tests.
10 Commits • 6 Features
Mar 1, 2025March 2025 (Xilinx/llvm-aie) delivered targeted AIE2P optimizations and reliability improvements, driving tangible improvements in instruction efficiency and analysis accuracy for future performance work. Key work spans merged instruction optimization, refined loop unrolling controls, expanded unrolling opportunities, memory-pattern enhancements, and strengthened alias analysis, backed by focused compiler tests. Key features delivered and business value: - AIE2P VLD/VCONV combined instruction optimization reduced instruction overhead and enabled fused operations under favorable conditions, enabling more efficient code generation for AIE workloads. (Commit: c5b8fae8fa6b9a7f046cf81cb0ca1373af703170) - AIE2P loop unrolling control enhancements with new flags (aie-unroll-partial, aie-unroll-runtime) and pragma-guarded unrolling, delivering safer defaults and finer-grained performance tuning. (Commits: 67396134a4fbc2aad511c1a1801e823428361575; 8978b1c2c895b2f4ea41e8633bfe3a950cec37c1) - AIE2P vector and scalar loop unrolling optimizations recognizing vector loop idioms (e.g., INV, INVSQRT, GET_SS) and enabling scalar loop unrolling to improve non-vectorizable workloads. (Commits: 1517c99843da89b9a83eb903ebef7f28b7268450; 9e7eb42d938f11ad1277d7e202ff155382fa47ed) - AIE2P alignment and vector pattern optimization relaxing vector alignments (<64B) and introducing VPUSH_hi_64 for combining broadcast and shift, with tests validating changes. (Commits: e3f3fbe41b517452b47fadae305fd3305ced58b1; 64ce0e5bfb63f7832022d595ec8337b542fb6d3b) - Alias Analysis enhancements for AIE: virtual unrolling for GEP chains, refactored pointer update tracking, and checks for lock-step GEP chains to improve alias accuracy, plus a correctness fix in AIE intrinsic handling to ensure accurate recurrence PHI checks. (Commits: 334bb5be2bceecba8c0e86b306d2ce04c1279303; c8f8e63676a46ae5fbd82fffa97a6e2f1a75ef21) - AIE compiler testing enhancements focusing on post-pipelining scheduling and alias analysis, including tests for virtual unrolls and GEP scenarios to validate correct pipelining. (Commit: 0dfaf61929e94285f7719e9b164c4e7e77f81049) Overall impact: - Improved potential performance for AIE workloads through reduced instruction overhead and more aggressive, safer unrolling. Improved memory access models and alias precision enable more effective scheduling and vectorization decisions. Strengthened testing coverage supports robust future optimizations and reduces risk when enabling new transforms. Technologies/skills demonstrated: - LLVM-based codegen, AIE target-specific optimizations, loop unrolling strategies, vectorization patterns, memory alignment, alias analysis, PHI/GE P chains, and post-pipelining scheduling tests.
March 2025
February 2025
7 Commits • 1 Features
Feb 1, 2025February 2025 performance summary for Xilinx/llvm-aie backend. Key accomplishment: delivered multi-slot VLD/PADD and FIFO pseudo-instructions for the AIE2P target, with updated instruction selection, tied-register handling, and data-flow constraints. Expanded test coverage across memory banks and 1D/2D/3D data shapes. Also fixed critical constraint gaps in multislot instructions and cleaned up unused code paths in AIECombinerHelper. These changes increase vector throughput, improve correctness of codegen, and strengthen test reliability for the AIE2P backend.
February 2025
7 Commits • 1 Features
Feb 1, 2025February 2025 performance summary for Xilinx/llvm-aie backend. Key accomplishment: delivered multi-slot VLD/PADD and FIFO pseudo-instructions for the AIE2P target, with updated instruction selection, tied-register handling, and data-flow constraints. Expanded test coverage across memory banks and 1D/2D/3D data shapes. Also fixed critical constraint gaps in multislot instructions and cleaned up unused code paths in AIECombinerHelper. These changes increase vector throughput, improve correctness of codegen, and strengthen test reliability for the AIE2P backend.
January 2025
5 Commits • 2 Features
Jan 1, 2025January 2025 monthly highlights for Xilinx/llvm-aie focusing on scheduling correctness, register banking, and test alignment across AIEX and AIE2P backends. Key features delivered and their business impact: - Top-down scheduling hazard recognizer (AIEX target): Introduced a hazard recognizer to handle SWP loop epilogue blocks by blocking sufficient cycles when a full conflict horizon cannot be determined, ensuring correct scheduling by accounting for dependencies between scheduled regions. This reduces scheduling errors and improves runtime reliability for/when SWP loops are encountered. - AIE2P enhancements: Enhanced register bank selection for FIFO/ACC handling; extended AIESubRegConstrainer for FIFO ops; improved mapping for large data types (ACC1024); updated test resources to reflect verifier changes in LD_FIFO_WA_PORT scheduling. These changes improve mapping efficiency, hardware resource utilization, and verifier alignment across larger data paths. Overall impact and accomplishments: - Improved scheduling correctness and predictability, reducing debugging time and mis-scheduling risk in critical data paths. - Enabled efficient handling of larger data types on AIE2P, expanding the design’s capability to model and synthesize complex data flows. - Strengthened test coverage and stability via updated verifier resources, reducing test fragility and accelerating integration. Technologies/skills demonstrated: - LLVM AIE backend development, scheduling analysis, hazard recognizers - Register banking optimization, FIFO handling, and sub-register constraint extensions - Large data type support (ACC1024) and test/resource maintenance
5 Commits • 2 Features
Jan 1, 2025January 2025 monthly highlights for Xilinx/llvm-aie focusing on scheduling correctness, register banking, and test alignment across AIEX and AIE2P backends. Key features delivered and their business impact: - Top-down scheduling hazard recognizer (AIEX target): Introduced a hazard recognizer to handle SWP loop epilogue blocks by blocking sufficient cycles when a full conflict horizon cannot be determined, ensuring correct scheduling by accounting for dependencies between scheduled regions. This reduces scheduling errors and improves runtime reliability for/when SWP loops are encountered. - AIE2P enhancements: Enhanced register bank selection for FIFO/ACC handling; extended AIESubRegConstrainer for FIFO ops; improved mapping for large data types (ACC1024); updated test resources to reflect verifier changes in LD_FIFO_WA_PORT scheduling. These changes improve mapping efficiency, hardware resource utilization, and verifier alignment across larger data paths. Overall impact and accomplishments: - Improved scheduling correctness and predictability, reducing debugging time and mis-scheduling risk in critical data paths. - Enabled efficient handling of larger data types on AIE2P, expanding the design’s capability to model and synthesize complex data flows. - Strengthened test coverage and stability via updated verifier resources, reducing test fragility and accelerating integration. Technologies/skills demonstrated: - LLVM AIE backend development, scheduling analysis, hazard recognizers - Register banking optimization, FIFO handling, and sub-register constraint extensions - Large data type support (ACC1024) and test/resource maintenance
January 2025
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Quality Metrics
Correctness92.2%
Maintainability86.4%
Architecture89.6%
Performance85.6%
AI Usage30.0%
Skills & Technologies
Programming Languages
AssemblyCC++CMakeIRLLVMLLVM IRMIRMirPython
Technical Skills
AIEAIE ArchitectureAlias AnalysisAssemblyAssembly LanguageBuild System ConfigurationC++C++ developmentC++ programmingCode CleanupCode GenerationCode OptimizationCode RefactoringCode optimizationCompiler Design
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