The HAAN framework presents a holistic approach for accelerating normalization operations in Large Language Models, targeting a critical computational bottleneck.

• Combines algorithm optimization and hardware design to speed up LayerNorm operations
• Addresses performance limitations that affect inference latency and training time
• Provides a practical pathway to more efficient LLM deployment
• Demonstrates how targeted optimization of specific operations can yield significant performance gains

Engineering Impact: By focusing on normalization operations—essential components in modern LLMs—this research delivers practical solutions for computational efficiency, potentially reducing energy consumption and accelerating inference in production environments.

HAAN: A Holistic Approach for Accelerating Normalization Operations in Large Language Models