arm/ai-ml-emulation-layer-for-vulkan
Jun 2025 – Jun 2025
1 Month active
Languages Used
C++GLSL
Technical Skills
Embedded SystemsGPU programmingLow-level programmingNumerical computationSPIR-VVulkan
Patrik Wallin Hybelius
PROFILE
Patrik Wallin Hybelius
Worked on the arm/ai-ml-emulation-layer-for-vulkan repository, focusing on enhancing compatibility and reliability for GPU programming workflows. Addressed standard alignment by updating SPIR-V opcode naming from OpTensorEXT to OpTensorARM, ensuring the codebase remains compliant with the latest SPIR-V headers and supports forward compatibility. Improved numerical computation stability by implementing Kahan summation in C++ and GLSL, which resolved floating-point inaccuracies in RFFT2D angle calculations and led to more reliable test outcomes. The work emphasized low-level programming practices and embedded systems expertise, delivering traceable changes that facilitate downstream Vulkan integration and support robust quality assurance processes for future development.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
45
Activity Months1
Your Network
552 peopleSame Organization
@arm.com538
Work History
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for arm/ai-ml-emulation-layer-for-vulkan. Focused on delivering compatibility with the latest SPIR-V headers and stabilizing numerical routines, resulting in improved standard alignment and more reliable test outcomes. The month’s work emphasized business value through compatibility, reliability, and traceable changes that support downstream Vulkan integration and QA execution.
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for arm/ai-ml-emulation-layer-for-vulkan. Focused on delivering compatibility with the latest SPIR-V headers and stabilizing numerical routines, resulting in improved standard alignment and more reliable test outcomes. The month’s work emphasized business value through compatibility, reliability, and traceable changes that support downstream Vulkan integration and QA execution.
June 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++GLSL
Technical Skills
Embedded SystemsGPU programmingLow-level programmingNumerical computationSPIR-VVulkan
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