Llama.cpp b10069 boosts LLM inference on Qualcomm Adreno GPUs
OpenCL support for Adreno GPUs speeds up matrix multiplications by up to 2x.
Deep Dive
The latest llama.cpp release (b10069) adds broadcast support for Adreno MUL_MAT and honors view_offs for Adreno Q8_0 MUL_MAT, enabling llama-server multi-stream. The OpenCL backend now handles broadcast for Adreno GEMM/GEMV and respects view_offs in noshuffle operations. The release includes Windows arm64 with OpenCL Adreno among its supported platforms.
Key Points
- Native OpenCL support for Qualcomm Adreno GPUs accelerates matrix multiplications and vector operations
- Proper handling of view_offs for Q8_0 quantized models improves inference accuracy on Adreno hardware
- llama-server now supports multi-stream inference, enabling concurrent processing on compatible GPUs
Why It Matters
Enables on-device LLM inference on millions of Qualcomm-powered phones and tablets, reducing cloud costs and latency.