Summary of Syno: Structured Synthesis For Neural Operators, by Yongqi Zhuo et al.
Syno: Structured Synthesis for Neural Operators
by Yongqi Zhuo, Zhengyuan Su, Chenggang Zhao, Mingyu Gao
First submitted to arxiv on: 31 Oct 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC); Performance (cs.PF)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper explores neural operator synthesis, a technique that aims to automatically discover new neural network operators that achieve better prediction accuracy or execution performance. The authors propose an end-to-end framework called Syno, which leverages fine-grained primitives and expression canonicalization techniques to ease model training and avoid redundant candidates during search. Syno also employs guided synthesis and efficient stochastic tree search algorithms to quickly explore the design space. The results show that Syno discovers better operators with a speedup of 2.06x and less than 1% accuracy loss, even when applied to NAS-optimized models. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Neural networks are getting smarter all the time! But did you know that there’s still room for improvement? Researchers have been working on ways to make neural networks faster and more accurate. This paper is about a new technique called neural operator synthesis. It’s like a superpower that lets computers automatically come up with brand new ideas for how to do calculations in neural networks. The authors created a special tool called Syno that can discover these new operators quickly and efficiently. They tested it on some existing models and found that it worked really well, making the calculations faster by 2.06 times without sacrificing accuracy. |
Keywords
» Artificial intelligence » Neural network
