libsdl-org/aom
Oct 2025 – Jan 2026
3 Months active
Languages Used
CC++
Technical Skills
ARM architectureARM assemblyC programmingNeon programmingSVEembedded systems
Gerda Zsejke More
PROFILE
Gerda Zsejke More
Over a three-month period, this developer contributed to libsdl-org/aom by delivering architecture-aware optimizations and stability improvements for AV1 video encoding and processing on ARM platforms. They enhanced performance in C and C++ by refactoring and consolidating Neon and SVE SIMD paths, optimizing quantization and intra prediction routines, and introducing buffer-free and high-bit-depth Neon implementations. Their work included rigorous unit testing and careful handling of memory alignment, addressing critical bugs to ensure reliability on NEON-enabled devices. By focusing on low-level optimization and embedded systems programming, they improved encoding throughput, reduced CPU usage, and strengthened code safety across multiple ARM architectures.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
14Total
Bugs
1
Commits
14
Features
5
Lines of code
3,489
Activity Months3
Your Network
590 peopleSame Organization
@arm.com538
Work History
January 2026
1 Commits
Jan 1, 2026January 2026 monthly summary for libsdl-org/aom development focused on stabilizing memory safety in AV1 NEON intra predictor by fixing unaligned memory access, preventing undefined behavior on misaligned pointers, and enhancing reliability across NEON-enabled devices. No new features introduced this month; primary work was a critical bug fix in the AV1 intra predictor path, contributing to more robust builds and CI stability.
1 Commits
Jan 1, 2026January 2026 monthly summary for libsdl-org/aom development focused on stabilizing memory safety in AV1 NEON intra predictor by fixing unaligned memory access, preventing undefined behavior on misaligned pointers, and enhancing reliability across NEON-enabled devices. No new features introduced this month; primary work was a critical bug fix in the AV1 intra predictor path, contributing to more robust builds and CI stability.
January 2026
November 2025
8 Commits • 3 Features
Nov 1, 2025Month: 2025-11 | Repo: libsdl-org/aom | Focus: ARM Neon optimization and performance improvements for AV1 paths, with Neon I8MM intra predictor, Armv8 Neon buffer-free intra predictor, high-bit-depth Neon optimizations for SAD/SAD-avg, and vertical filter kernel enhancements. All work includes unit tests and ports from SVT-AV1, delivering measurable throughput and efficiency gains on ARM platforms. Business value: faster encoding/decoding, lower CPU usage, and better energy efficiency across mobile and embedded devices.
November 2025
8 Commits • 3 Features
Nov 1, 2025Month: 2025-11 | Repo: libsdl-org/aom | Focus: ARM Neon optimization and performance improvements for AV1 paths, with Neon I8MM intra predictor, Armv8 Neon buffer-free intra predictor, high-bit-depth Neon optimizations for SAD/SAD-avg, and vertical filter kernel enhancements. All work includes unit tests and ports from SVT-AV1, delivering measurable throughput and efficiency gains on ARM platforms. Business value: faster encoding/decoding, lower CPU usage, and better energy efficiency across mobile and embedded devices.
October 2025
5 Commits • 2 Features
Oct 1, 20252025-10 monthly summary for libsdl-org/aom: Delivered architecture-aware optimizations and refactors focused on AV1 warp_affine and quantization paths. Across Armv8.6 I8MM, SVE, and Neon, Warp Affine performance was enhanced with USMMLA-based 6- and 8-tap filtering, and a shared av1_warp_affine_common implementation was moved to a centralized Neon/SVE path. Quantization pipeline gains include EOB calculation refinements and reduced memory overhead for LBD and HBD, with aom_quantize_b optimizations removing redundant zeroing and simplifying pointer logic. These changes improve encoding throughput, reduce CPU cycles spent in SIMD paths, and establish a solid base for future SIMD enhancements.
5 Commits • 2 Features
Oct 1, 20252025-10 monthly summary for libsdl-org/aom: Delivered architecture-aware optimizations and refactors focused on AV1 warp_affine and quantization paths. Across Armv8.6 I8MM, SVE, and Neon, Warp Affine performance was enhanced with USMMLA-based 6- and 8-tap filtering, and a shared av1_warp_affine_common implementation was moved to a centralized Neon/SVE path. Quantization pipeline gains include EOB calculation refinements and reduced memory overhead for LBD and HBD, with aom_quantize_b optimizations removing redundant zeroing and simplifying pointer logic. These changes improve encoding throughput, reduce CPU cycles spent in SIMD paths, and establish a solid base for future SIMD enhancements.
October 2025
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Quality Metrics
Correctness95.8%
Maintainability85.8%
Architecture92.8%
Performance98.6%
AI Usage27.0%
Skills & Technologies
Programming Languages
CC++
Technical Skills
ARM NEONARM architectureARM assemblyC programmingC++ programmingNEON intrinsicsNeon programmingSVEembedded systemsembedded systems programmingimage processinglow-level optimizationlow-level programmingperformance optimizationunit testing
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