
During October 2024, Cyzero Kim developed GPU-accelerated POOL2D support for MobileVLM/CLIP inference in the Vulkan backends of both the Mintplex-Labs/whisper.cpp and rmusser01/llama.cpp repositories. Kim implemented a dedicated POOL2D shader and updated the Vulkan pipeline using C++ and GLSL, focusing on performance optimization and GPU programming. This work reduced inference latency from approximately 2.8 seconds on CPU to 0.7 seconds on GPU, enabling near real-time performance and lowering per-inference costs. Kim also addressed parameter ordering to ensure correct operation sequencing, demonstrating a strong grasp of both shader development and backend integration within complex inference pipelines.

October 2024 performance summary: Implemented GPU-accelerated POOL2D support in Vulkan backends for MobileVLM/CLIP inference across whisper.cpp and llama.cpp. Delivered a dedicated POOL2D shader and pipeline, plus a parameter-ordering fix, enabling substantial latency reductions and throughput improvements. The work delivers clear business value by enabling near real-time inference, reducing CPU load, and lowering per-inference costs at scale.
October 2024 performance summary: Implemented GPU-accelerated POOL2D support in Vulkan backends for MobileVLM/CLIP inference across whisper.cpp and llama.cpp. Delivered a dedicated POOL2D shader and pipeline, plus a parameter-ordering fix, enabling substantial latency reductions and throughput improvements. The work delivers clear business value by enabling near real-time inference, reducing CPU load, and lowering per-inference costs at scale.
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