libsdl-org/aom
Jan 2025 – Jun 2025
3 Months active
Languages Used
CC++CMakeCMakeScriptPerl
Technical Skills
Build SystemCPU ArchitectureEmbedded SystemsLow-level OptimizationPerformance EngineeringPerformance Optimization
jerry
PROFILE
Jerry
Jery Tsai developed and integrated RISC-V Vector Extension (RVV) optimizations for the libsdl-org/aom repository, focusing on AV1 video codec performance. Over three months, he engineered RVV-aware architecture detection, CPU feature integration, and vectorized 2D convolution paths to accelerate video encoding and decoding on RV64 hardware. His work included implementing high-bit-depth convolution routines and creating new C source files and build system updates using C, CMake, and Perl. By introducing inline vector utilities and optimizing memory operations, Jery enabled higher throughput and energy efficiency for AV1 workloads, laying a robust foundation for future RISC-V vector acceleration in production environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
4
Lines of code
6,175
Activity Months3
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63 peopleShared Repositories
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Work History
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly work summary for libsdl-org/aom: Delivered RVV-based AV1 performance optimizations on RISC-V, enabling higher throughput and energy efficiency on RV64. Implementations centered on new RVV utilities and convolution optimizations, with changes integrated under aom_dsp/riscv.
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly work summary for libsdl-org/aom: Delivered RVV-based AV1 performance optimizations on RISC-V, enabling higher throughput and energy efficiency on RV64. Implementations centered on new RVV utilities and convolution optimizations, with changes integrated under aom_dsp/riscv.
June 2025
May 2025
1 Commits • 1 Features
May 1, 2025Month: 2025-05 — Delivered vectorized optimization work for the AOM library on RISC-V with RVV. Implemented RVV-accelerated 2D convolution paths for video encoding/decoding (convolve_2d, convolve_x, convolve_y, convolve_2d_intrabc), added new RVV implementation C files, and updated build configurations to enable the RVV path. This work targets higher throughput for media workloads on RVV-capable hardware and aligns with broader performance targets for video pipelines.
May 2025
1 Commits • 1 Features
May 1, 2025Month: 2025-05 — Delivered vectorized optimization work for the AOM library on RISC-V with RVV. Implemented RVV-accelerated 2D convolution paths for video encoding/decoding (convolve_2d, convolve_x, convolve_y, convolve_2d_intrabc), added new RVV implementation C files, and updated build configurations to enable the RVV path. This work targets higher throughput for media workloads on RVV-capable hardware and aligns with broader performance targets for video pipelines.
January 2025
2 Commits • 2 Features
Jan 1, 2025January 2025 — LibSDL AOM (libsdl-org/aom): Delivered RVV-ready enhancements for RISC-V, enabling broader hardware support and improved video decoding performance. Key features delivered include RVV architecture detection and CPU-detection integrated into the build system, and RVV-aware CDEF optimizations for video decoding. Build tooling updates (CMake/Perl) were introduced to support RVV optimization paths. Major bugs fixed: none reported this month. Overall impact: expanded platform support for RISC-V RVV-enabled devices and a stronger foundation for future RVV-based acceleration in production workloads. Technologies/skills demonstrated: C, CMake, Perl scripting, architecture and CPU detection, build-system integration, and low-level video optimization.
2 Commits • 2 Features
Jan 1, 2025January 2025 — LibSDL AOM (libsdl-org/aom): Delivered RVV-ready enhancements for RISC-V, enabling broader hardware support and improved video decoding performance. Key features delivered include RVV architecture detection and CPU-detection integrated into the build system, and RVV-aware CDEF optimizations for video decoding. Build tooling updates (CMake/Perl) were introduced to support RVV optimization paths. Major bugs fixed: none reported this month. Overall impact: expanded platform support for RISC-V RVV-enabled devices and a stronger foundation for future RVV-based acceleration in production workloads. Technologies/skills demonstrated: C, CMake, Perl scripting, architecture and CPU detection, build-system integration, and low-level video optimization.
January 2025
Activity
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Quality Metrics
Correctness98.0%
Maintainability84.0%
Architecture86.0%
Performance96.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++CMakeCMakeScriptPerl
Technical Skills
AV1 CodecAssembly LanguageBuild SystemCCPU ArchitectureEmbedded SystemsImage ProcessingLow-level OptimizationPerformance EngineeringPerformance OptimizationRISC-VRISC-V AssemblyVector Extensions (RVV)Vector InstructionsVectorization
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