June 2025: Delivered AMD/HIP performance and compatibility enhancements for llama.cpp, including macro replacement for wavefront size, RDNA4 vectorization, and HIP MMV path optimizations across HIP/CUDA, plus a ROCm FlashAttention on GFX12 build flag with conditional defaults. Fixed HIP kernel warp size handling in whisper.cpp to ensure correctness on AMD GFX8/GFX9 and non-32 warp sizes. Introduced RDNA4 vector attention support and refactored memory allocation to support unified memory. Added GGML_HIP_ROCWMMA_FATTN_GFX12 build option to control FlashAttention on GFX12 with safe defaults. These changes improve performance portability, stability, and compute efficiency on ROCm-enabled GPUs, enabling faster inference and broader hardware reach. Technologies demonstrated include ROCm/HIP/CUDA kernel tuning, RDNA4 vectorization, FlashAttention integration, and build system customization (CMake).

March 2025 delivered cross-repo GPU kernel improvements for llama.cpp and whisper.cpp, focusing on CUDA/HIP memory management, host/device parameterization, and runtime stability to improve portability and performance across GPU architectures. Key outcomes include unified calculations for nwarps and rows_per_block in the mmqv kernel, helper functions and enums for device parameters, and reliable CUDA graph parameter updates under CUDA/HIP runtimes. Fattn-vec kernel warp-size compatibility was addressed to handle devices with warp sizes not equal to 32, reducing execution errors. These changes lower the risk of device-specific bugs, simplify maintenance, and unlock broader hardware support for inference workloads.

February 2025 monthly work summary focused on delivering performance, compatibility, and reliability improvements across Mintplex-Labs/whisper.cpp and ggml-org/llama.cpp. Key efforts centered on dynamic MMV/MMQ enhancements for CUDA/HIP, robust AMD RDNA compute capability detection, and safer ROCm version handling. The work delivers broader hardware coverage, higher inference performance, and more robust stack maintenance.

Monthly performance summary for 2025-01 focusing on key accomplishments and business impact across two CUDA-enabled repositories.