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
Worked on performance-focused AV1 convolution optimizations for the libsdl-org/aom repository, targeting ARM architectures using C and ARM NEON intrinsics. Developed and consolidated Neon I8MM and DotProd acceleration paths across aom_convolve8* and AV1 kernels, covering multiple tap variants to enhance decoding and processing throughput. Refactored Neon transpose utilities and standardized stride types to ptrdiff_t, improving code maintainability and reducing memory or saturation risks. The work included removing duplicate helpers and streamlining code paths, resulting in faster ARM-based decoding and smoother playback, while laying groundwork for future vectorization and performance tuning cycles through robust build and test practices.
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
590 peopleSame Organization
@arm.com538
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
Activity
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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
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