Optimizing GPU Kernel Performance: A Novel LLM-Driven Approach

This research explores a new method for optimizing GPU kernel performance by leveraging LLMs, potentially leading to faster and more efficient execution. The focus on minimal executable programs suggests a clever approach to iterative improvement within resource constraints.

• •Proposes a new LLM-based framework for GPU kernel optimization.
• •Emphasizes optimization beyond full build processes.
• •Utilizes minimal executable programs for efficiency.