libsdl-org/aom
Aug 2025 – Aug 2025
1 Month active
Languages Used
C
Technical Skills
ARM NEON IntrinsicsARM NEON intrinsicsARM Neon IntrinsicsAssembly LanguageAssembly OptimizationC Programming
Jonathan Wright
PROFILE
Jonathan Wright
Jonathan Wright developed Neon-based AV1 convolution optimizations for the libsdl-org/aom repository, focusing on ARM architectures. He consolidated I8MM and DotProd Neon intrinsics across aom_convolve8* and AV1 kernel functions, implementing optimized 8-tap and 12-tap convolution paths to improve decoding and processing throughput. His work included refactoring Neon transpose utilities and standardizing stride types to ptrdiff_t, which enhanced code maintainability and reduced memory risks. Using C and assembly language, Jonathan streamlined code paths, removed duplicate helpers, and prepared the codebase for future vectorization. The depth of his contributions improved ARM decoding performance and maintainability in a focused, robust manner.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
17Total
Bugs
0
Commits
17
Features
2
Lines of code
1,814
Activity Months1
Your Network
545 peopleSame Organization
@arm.com497
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48
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Work History
August 2025
17 Commits • 2 Features
Aug 1, 2025August 2025 summary: Performance-focused Neon-based AV1 convolution optimizations on ARM, plus code maintenance improvements. Delivered Neon I8MM and Neon DotProd optimizations across aom_convolve8* and AV1 kernels av1_convolve_y_sr / av1_convolve_x_sr, covering 8/6/4/12-tap variants to boost decoding/processing throughput. Completed Neon transpose utilities refactor and standardized stride types (ptrdiff_t) to improve maintainability and reduce memory/saturation risk. Consolidated changes across 12+ commits, including removal of duplicate helpers and path optimizations. Overall impact: faster ARM-based decoding/processing, smoother playback, and reduced risk for future vectorization work. Technologies/skills demonstrated: Neon optimization (I8MM, DotProd), ARM performance tuning, C/C++ refactoring, memory-safety practices, and robust build/test discipline.
17 Commits • 2 Features
Aug 1, 2025August 2025 summary: Performance-focused Neon-based AV1 convolution optimizations on ARM, plus code maintenance improvements. Delivered Neon I8MM and Neon DotProd optimizations across aom_convolve8* and AV1 kernels av1_convolve_y_sr / av1_convolve_x_sr, covering 8/6/4/12-tap variants to boost decoding/processing throughput. Completed Neon transpose utilities refactor and standardized stride types (ptrdiff_t) to improve maintainability and reduce memory/saturation risk. Consolidated changes across 12+ commits, including removal of duplicate helpers and path optimizations. Overall impact: faster ARM-based decoding/processing, smoother playback, and reduced risk for future vectorization work. Technologies/skills demonstrated: Neon optimization (I8MM, DotProd), ARM performance tuning, C/C++ refactoring, memory-safety practices, and robust build/test discipline.
August 2025
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Quality Metrics
Correctness93.6%
Maintainability85.8%
Architecture86.4%
Performance96.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C
Technical Skills
ARM NEON IntrinsicsARM NEON intrinsicsARM Neon IntrinsicsAssembly LanguageAssembly OptimizationC ProgrammingCode RefactoringDSPDSP OptimizationImage ProcessingLow-level OptimizationLow-level programmingMemory managementPerformance EngineeringPerformance Optimization
Repositories Contributed To
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