google/heir
Apr 2026 – Jun 2026
3 Months active
Languages Used
C++MLIRMarkdown
Technical Skills
C++algorithm designdata structuresunit testingAlgorithm optimizationC++ development
Marc Desgroseilliers
PROFILE
Marc Desgroseilliers
Over three months, contributed to the google/heir repository by developing and optimizing neural network code generation and documentation. Built features for 1D convolution filter relations, expanded type support, and enhanced pooling operations, leveraging C++ and MLIR to improve layout evaluations and convolution workflows. Addressed non-square filter support, generalized dilation handling, and rewrote average pooling as convolution to expand neural network deployment readiness. Improved documentation quality using LaTeX, ensuring clarity and consistency for cryptographic schemes and layouts. Additionally, resolved a mutability bug in nested control flow by introducing a snapshot mechanism, increasing the reliability and correctness of generated code.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
9Total
Bugs
1
Commits
9
Features
3
Lines of code
1,747
Activity Months3
Work History
June 2026
1 Commits
Jun 1, 2026June 2026 monthly summary for google/heir: Strengthened robustness of code-generation in nested control flow by fixing a mutability-related bug and introducing a snapshot mechanism to preserve iteration arguments in the else branch during nested loops. This work prevents unintended overwrites and improves correctness in complex control-flow paths, reducing debugging time and increasing reliability of generated code.
1 Commits
Jun 1, 2026June 2026 monthly summary for google/heir: Strengthened robustness of code-generation in nested control flow by fixing a mutability-related bug and introducing a snapshot mechanism to preserve iteration arguments in the else branch during nested loops. This work prevents unintended overwrites and improves correctness in complex control-flow paths, reducing debugging time and increasing reliability of generated code.
June 2026
May 2026
7 Commits • 2 Features
May 1, 2026May 2026: Delivered core MLIR-based neural network enhancements and improved documentation. Implemented 1D convolution code generation, added non-square filter support, and generalized dilation handling, with an optimization of average pooling by rewriting as convolution to expand MLIR capabilities for neural networks. Extended pooling capabilities with pooling_ncw_sum and added tests for non-square filters, ensuring correctness across edge cases. Updated documentation for BGV/CKKS schemes and related layouts with LaTeX corrections and layout reference fixes, improving consistency and readability. These changes enhance deployment readiness for NN workloads, reduce integration risk, and demonstrate growth in MLIR-driven optimization and documentation quality.
May 2026
7 Commits • 2 Features
May 1, 2026May 2026: Delivered core MLIR-based neural network enhancements and improved documentation. Implemented 1D convolution code generation, added non-square filter support, and generalized dilation handling, with an optimization of average pooling by rewriting as convolution to expand MLIR capabilities for neural networks. Extended pooling capabilities with pooling_ncw_sum and added tests for non-square filters, ensuring correctness across edge cases. Updated documentation for BGV/CKKS schemes and related layouts with LaTeX corrections and layout reference fixes, improving consistency and readability. These changes enhance deployment readiness for NN workloads, reduce integration risk, and demonstrate growth in MLIR-driven optimization and documentation quality.
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 — google/heir: Delivered the 1D Convolution Filter Relations and Expanded Types feature, introducing conv1d relations and expanded type support with new functions for handling 1D filters. This improved layout evaluations and filter expansions and lays groundwork for downstream performance optimizations in 1D convolution paths. No major bugs fixed this month. Overall impact: enhanced 1D convolution modeling capabilities, enabling more robust pipelines and future performance gains. Technologies/skills demonstrated: feature development with git-commit traceability, integration with existing codebase, and applying 1D convolution concepts to improve evaluation and expansion workflows.
1 Commits • 1 Features
Apr 1, 2026April 2026 — google/heir: Delivered the 1D Convolution Filter Relations and Expanded Types feature, introducing conv1d relations and expanded type support with new functions for handling 1D filters. This improved layout evaluations and filter expansions and lays groundwork for downstream performance optimizations in 1D convolution paths. No major bugs fixed this month. Overall impact: enhanced 1D convolution modeling capabilities, enabling more robust pipelines and future performance gains. Technologies/skills demonstrated: feature development with git-commit traceability, integration with existing codebase, and applying 1D convolution concepts to improve evaluation and expansion workflows.
April 2026
Activity
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Quality Metrics
Correctness97.8%
Maintainability86.6%
Architecture93.2%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++MLIRMarkdown
Technical Skills
Algorithm optimizationC++C++ developmentC++ programmingCompiler DesignLaTeXMLIRTensor operationsalgorithm designalgorithm developmentcompiler designdata structuresdocumentationmachine learningtechnical writing
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