google/XNNPACK
Oct 2025 – Oct 2025
1 Month active
Languages Used
CC++
Technical Skills
C programmingC++ developmentalgorithm designalgorithm optimizationbuild systemsperformance optimization
Jonathan Clohessy
PROFILE
Jonathan Clohessy
Worked across google/XNNPACK, intel/onnxruntime, and CodeLinaro/onnxruntime to deliver high-performance matrix computation features and reliability improvements for machine learning inference. Focused on ARM NEON and SME2 microkernel development, this engineer optimized GEMM and convolution kernels, introduced runtime configurability, and enhanced test coverage to reduce production risk. Leveraging C and C++ with CMake for build integration, they streamlined conditional compilation and memory management, enabling faster inference and easier cross-architecture support. Their work included debugging quantization correctness, implementing logging for kernel diagnostics, and addressing critical bugs, resulting in more robust, maintainable codebases and measurable performance gains across diverse embedded and ML workloads.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
247
Activity Months1
Your Network
753 peopleSame Organization
@arm.com537
Work History
October 2025
3 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for google/XNNPACK: Delivered Convolution PF16/Float16 support with packing optimization and completed ARM SME2 build compatibility fixes for GEMM tests. Focused on performance readiness for FP16 paths, code structure improvements, and build stability across ARM platforms, enabling faster deployment and reliable CI.
3 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for google/XNNPACK: Delivered Convolution PF16/Float16 support with packing optimization and completed ARM SME2 build compatibility fixes for GEMM tests. Focused on performance readiness for FP16 paths, code structure improvements, and build stability across ARM platforms, enabling faster deployment and reliable CI.
October 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++
Technical Skills
C programmingC++ developmentalgorithm designalgorithm optimizationbuild systemsperformance optimizationperformance tuningtesting
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