
Sun Yuechi developed hardware-accelerated features for open-source projects including tesseract-ocr/tesseract, ossrs/ffmpeg-webrtc, and google/XNNPACK, focusing on RISC-V Vector (RVV) optimizations. He implemented RVV-accelerated matrix-vector operations in Tesseract to improve OCR performance, and delivered RVV-based decoding enhancements for VVC/HEVC in FFmpeg-WebRTC, consolidating low-level optimizations and expanding test coverage for reliability. In XNNPACK, he built FP16 to FP32 conversion microkernels with multi-vector-length support, updating build systems for broader hardware compatibility. His work leveraged Assembly, C, and CMake, demonstrating depth in low-level programming, vectorization, and performance optimization for embedded and media processing workloads on RISC-V platforms.

January 2025 monthly work summary for google/XNNPACK focused on delivering RISC-V RVV FP16 to FP32 conversion kernels and associated build/config updates, expanding hardware support and performance on RVV-capable devices.
January 2025 monthly work summary for google/XNNPACK focused on delivering RISC-V RVV FP16 to FP32 conversion kernels and associated build/config updates, expanding hardware support and performance on RVV-capable devices.
Month: 2024-12 — Concise monthly summary highlighting delivery of high-impact features, critical bug fixes, overall impact, and technology/skills demonstrated. Emphasis on business value: performance, reliability, and test robustness for media decoding on RISC-V, along with improved maintainability of RVV-based paths in ossrs/ffmpeg-webrtc.
Month: 2024-12 — Concise monthly summary highlighting delivery of high-impact features, critical bug fixes, overall impact, and technology/skills demonstrated. Emphasis on business value: performance, reliability, and test robustness for media decoding on RISC-V, along with improved maintainability of RVV-based paths in ossrs/ffmpeg-webrtc.
November 2024 monthly summary focusing on high-impact performance work in the Tesseract OCR engine. Highlights include the delivery of RISC-V Vector (RVV) acceleration support, enabling RVV-accelerated matrix-vector operations and setting the groundwork for hardware-accelerated OCR workloads.
November 2024 monthly summary focusing on high-impact performance work in the Tesseract OCR engine. Highlights include the delivery of RISC-V Vector (RVV) acceleration support, enabling RVV-accelerated matrix-vector operations and setting the groundwork for hardware-accelerated OCR workloads.
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