AI RESEARCH
FlashNorm: Fast Normalization for Transformers
arXiv CS.LG
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ArXi:2407.09577v4 Announce Type: replace Normalization layers are ubiquitous in large language models (LLMs) yet represent a compute bottleneck: on hardware with distinct vector and matrix execution units, the RMS calculation blocks the subsequent matrix multiplication, preventing parallel execution.