Xilinx/mlir-aie
Nov 2024 – Feb 2025
3 Months active
Languages Used
C++Jupyter NotebookLLVM IRMakefilePythonShellHTMLMarkdown
Technical Skills
AI AccelerationAI Engine DevelopmentAIEAlgorithmsC++C++ Development
Erika Hunhoff
PROFILE
Erika Hunhoff
Erika Hunhoff contributed to the Xilinx/mlir-aie repository by developing and refining features for AI engine acceleration and infrastructure. She enhanced AIE tiling and data movement, modernized Python APIs with IRON integration, and introduced experimental high-level NPU syntax to streamline development workflows. Erika’s work included consolidating tiling utilities, improving matrix multiplication performance, and enabling end-to-end testing for npu-xrt. She also improved documentation and contributor guidelines, integrating Doxygen for Python API docs. Using C++, Python, and CMake, Erika addressed both feature development and bug fixes, demonstrating depth in low-level programming, code organization, and performance optimization across embedded and AI systems.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
16Total
Bugs
2
Commits
16
Features
6
Lines of code
43,565
Activity Months3
Your Network
1300 people
Work History
February 2025
1 Commits
Feb 1, 2025February 2025 monthly summary focusing on programming examples fixes in the mlir-aie repository. Addressed tensor access pattern naming, vector operation resource management, and device instantiation standardization to improve correctness, reliability, and developer onboarding for examples in Xilinx/mlir-aie.
1 Commits
Feb 1, 2025February 2025 monthly summary focusing on programming examples fixes in the mlir-aie repository. Addressed tensor access pattern naming, vector operation resource management, and device instantiation standardization to improve correctness, reliability, and developer onboarding for examples in Xilinx/mlir-aie.
February 2025
December 2024
8 Commits • 3 Features
Dec 1, 2024December 2024 monthly work summary for Xilinx/mlir-aie focusing on Python API modernization with IRON integration, experimental NPUs high-level syntax, and documentation improvements. The work delivered standardized, higher-level IRON API for Python bindings, demonstrated an experimental CuPy-like NPUs syntax, and enhanced contributor guidance, docs tooling, and website integration to improve onboarding and discoverability.
December 2024
8 Commits • 3 Features
Dec 1, 2024December 2024 monthly work summary for Xilinx/mlir-aie focusing on Python API modernization with IRON integration, experimental NPUs high-level syntax, and documentation improvements. The work delivered standardized, higher-level IRON API for Python bindings, demonstrated an experimental CuPy-like NPUs syntax, and enhanced contributor guidance, docs tooling, and website integration to improve onboarding and discoverability.
November 2024
7 Commits • 3 Features
Nov 1, 2024Concise monthly summary for 2024-11 focused on delivering business value and technical achievements for the Xilinx/mlir-aie repo. Key work includes delivering AIE tiling and data movement enhancements, enabling end-to-end tests for npu-xrt, adding a passthrough kernel notebook with Jupyter support, and a test typo fix to improve reliability of the matrix multiplication test. These efforts improve performance potential, test reliability, and developer experience across the project.
7 Commits • 3 Features
Nov 1, 2024Concise monthly summary for 2024-11 focused on delivering business value and technical achievements for the Xilinx/mlir-aie repo. Key work includes delivering AIE tiling and data movement enhancements, enabling end-to-end tests for npu-xrt, adding a passthrough kernel notebook with Jupyter support, and a test typo fix to improve reliability of the matrix multiplication test. These efforts improve performance potential, test reliability, and developer experience across the project.
November 2024
Activity
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Quality Metrics
Correctness93.2%
Maintainability92.4%
Architecture91.8%
Performance87.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++HTMLJupyter NotebookLLVM IRMakefileMarkdownPythonShellYAML
Technical Skills
AI AccelerationAI DevelopmentAI Engine DevelopmentAIEAPI DesignAlgorithmsC++C++ DevelopmentCI/CDCMakeCode OrganizationCode RefactoringCode RenamingCompiler DesignContribution Guidelines
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