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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss?
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers tested whether LLMs can find code optimizations that traditional compilers miss by recovering hidden semantic information from C/C++ code.
- 为何重要
- Compiler engineers and performance optimization specialists should care when seeking alternative approaches to squeeze additional speedups from existing code.
- 注意
- LLMs produced correct optimizations in 94.8% of cases but often closed only partial gaps compared to oracle solutions, requiring validation of all generated artifacts.
收听本摘要
- llm
- language model
- serving
- benchmark
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