
Jery Tsai developed and integrated RISC-V Vector Extension (RVV) optimizations for the libsdl-org/aom repository, focusing on AV1 video codec performance for embedded RISC-V platforms. Over three months, Jery engineered RVV-aware architecture detection, build system integration, and vectorized 2D convolution paths, leveraging C, CMake, and RISC-V assembly. His work included implementing high-bit-depth convolution and inline memory utilities, enabling higher throughput and energy efficiency for video encoding and decoding. By updating build tooling and introducing RVV-specific source files, Jery established a robust foundation for future vector acceleration, demonstrating depth in low-level optimization and performance engineering for media workloads.

June 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 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.
Month: 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.
Month: 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 — 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 — 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.
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