llvm/circt
Apr 2026 – Jun 2026
3 Months active
Languages Used
C++MLIRYAML
Technical Skills
C++C++ developmentCompiler DesignCompiler designFunctional ProgrammingFunctional programming
okekayode
PROFILE
Okekayode
Over three months, contributed to llvm/circt by developing and optimizing synthesis, verification, and backend flows using C++, MLIR, and functional programming. Delivered features such as inversion-aware functional reduction, incremental SAT solving, and reachability-based SSA-cycle prevention to enhance synthesis reliability and maintainability. Expanded synthesis capabilities with NLDM timing support, technology mapping cost modeling, and new three-input boolean operations, while improving CI stability and parser performance. Implemented constant folding optimizations and advanced lowering techniques for arithmetic operations, including compressor trees and constant RHS division. The work emphasized robust algorithm design, efficient hardware synthesis, and maintainable code through comprehensive testing and refactoring.
Overall Statistics
Feature vs Bugs
92%Features
Repository Contributions
21Total
Bugs
1
Commits
21
Features
11
Lines of code
3,988
Activity Months3
Your Network
86 peopleWork History
June 2026
4 Commits • 3 Features
Jun 1, 2026June 2026 performance summary for llvm/circt focused on lowering enhancements, constant RHS optimizations, and synthesis IR improvements. Delivered key features for mul_two_bit compressor lowering, constant-RHS div/mod lowerings, and declarative cut rewrite patterns with a yield terminator, plus nameless delay representation. Added/supporting tests and improved maintainability. Impact includes faster hardware generation, improved constant folding performance, and a cleaner IR surface to enable further optimizations across the codebase.
4 Commits • 3 Features
Jun 1, 2026June 2026 performance summary for llvm/circt focused on lowering enhancements, constant RHS optimizations, and synthesis IR improvements. Delivered key features for mul_two_bit compressor lowering, constant-RHS div/mod lowerings, and declarative cut rewrite patterns with a yield terminator, plus nameless delay representation. Added/supporting tests and improved maintainability. Impact includes faster hardware generation, improved constant folding performance, and a cleaner IR surface to enable further optimizations across the codebase.
June 2026
May 2026
11 Commits • 5 Features
May 1, 2026May 2026 - llvm/circt: Delivered major synthesis and build reliability improvements across NLDM timing support, technology-mapping cost modeling, expanded 3-input operation primitives, robustness and constant folding, plus CI stability enhancements. Key outcomes include NLDM timing attributes in Synth and improved LibertyParser, a new synth.mapping_cost attribute for TechMapper, a growing suite of 3-input boolean ops with per-input inversion, SExt matcher robustness, functional reduction constant folding, and stabilized CI builds via LayerEnableRemover and sccache key improvements. These changes accelerate design closure, improve timing accuracy and parsing performance, and reduce CI variability.
May 2026
11 Commits • 5 Features
May 1, 2026May 2026 - llvm/circt: Delivered major synthesis and build reliability improvements across NLDM timing support, technology-mapping cost modeling, expanded 3-input operation primitives, robustness and constant folding, plus CI stability enhancements. Key outcomes include NLDM timing attributes in Synth and improved LibertyParser, a new synth.mapping_cost attribute for TechMapper, a growing suite of 3-input boolean ops with per-input inversion, SExt matcher robustness, functional reduction constant folding, and stabilized CI builds via LayerEnableRemover and sccache key improvements. These changes accelerate design closure, improve timing accuracy and parsing performance, and reduce CI variability.
April 2026
6 Commits • 3 Features
Apr 1, 2026Summary for 2026-04 (llvm/circt): Delivered key features, fixed critical issues, and advanced capabilities that drive business value through more robust synthesis, verification, and interoperability. Key features delivered include inversion-aware functional reduction with node normalization and merging, a new SATSolver interface enabling safe incremental SAT solving, reachability-based SSA-cycle prevention during materialization, and pruning of non-essential reachable values. Also added AIGER 1.9 import support with bad-states handling, invariant constraints, extended parsing for new properties, and integration of the verification dialect. In synthesis, introduced synth.xor_inv canonicalization and folding to simplify XOR expressions and improve synthesis performance. Major fixes include stabilizing inversion equivalences, preventing SSA cycles during choice replacement, and removing redundant reachable values. Overall impact: improved reliability and performance of synthesis and verification flows, extended compatibility with external tools, and better maintainability. Technologies demonstrated: SAT solving, SSA and reachability analysis, graph transformations, AIGER 1.9 support, verification dialect, and canonicalization/folding techniques; cross-repo collaboration and co-authored commits.
6 Commits • 3 Features
Apr 1, 2026Summary for 2026-04 (llvm/circt): Delivered key features, fixed critical issues, and advanced capabilities that drive business value through more robust synthesis, verification, and interoperability. Key features delivered include inversion-aware functional reduction with node normalization and merging, a new SATSolver interface enabling safe incremental SAT solving, reachability-based SSA-cycle prevention during materialization, and pruning of non-essential reachable values. Also added AIGER 1.9 import support with bad-states handling, invariant constraints, extended parsing for new properties, and integration of the verification dialect. In synthesis, introduced synth.xor_inv canonicalization and folding to simplify XOR expressions and improve synthesis performance. Major fixes include stabilizing inversion equivalences, preventing SSA cycles during choice replacement, and removing redundant reachable values. Overall impact: improved reliability and performance of synthesis and verification flows, extended compatibility with external tools, and better maintainability. Technologies demonstrated: SAT solving, SSA and reachability analysis, graph transformations, AIGER 1.9 support, verification dialect, and canonicalization/folding techniques; cross-repo collaboration and co-authored commits.
April 2026
Activity
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Quality Metrics
Correctness92.4%
Maintainability81.0%
Architecture88.6%
Performance83.8%
AI Usage41.0%
Skills & Technologies
Programming Languages
C++MLIRYAML
Technical Skills
Boolean LogicC++C++ DevelopmentC++ developmentC++ programmingCI/CDCompiler DesignCompiler designDigital DesignFIRRTLFunctional ProgrammingFunctional programmingGitHub ActionsMLIRSAT solving
Repositories Contributed To
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