ggml/llama.cpp releases: b11909

TL;DR

ggml/llama.cpp released a new version with optimizations for row skipping in matrix multiplication, improving performance. These updates are significant for enhancing computational efficiency in large language model training.

Detailed Summary

The ggml/llama.cpp project released an update with optimizations and improvements, specifically focusing on row skipping in matrix multiplication for the hexagon architecture. The changes include vectorizing skipped row zeroing and adding zeroing to fused MM_ID_NX operations while removing scalar division. This update impacts performance in matrix operations, which are crucial for machine learning models hosted on platforms like llama.app.

Key Points

• • hexagon: MUL_MAT_ID row skipping optimizations and improvements (#31169)
• • hex-mmid: vectorize skipped row zeroing and added zeroing to fused MM_ID_NX
• • hex-mmid: remove scalar div