Survey of transformer inference optimization techniques
Survey of transformer inference optimization techniques
A Survey of Techniques for Optimizing Transformer Inference
arXiv paper abstract https://arxiv.org/abs/2307.07982
arXiv PDF paper https://arxiv.org/pdf/2307.07982.pdf
Recent ... rise in performance and applications of transformer neural networks ... However ... led to an exponential increase in transformers' memory and compute footprint.
Researchers have proposed techniques to optimize transformer inference at all levels of abstraction.
This paper presents a comprehensive survey of techniques for optimizing the inference phase of transformer networks.
... survey techniques such as knowledge distillation, pruning, quantization, neural architecture search and lightweight network design at the algorithmic level.
... further review hardware-level optimization techniques and the design of novel hardware accelerators for transformers.
... summarize the quantitative results on the number of parameters/FLOPs and accuracy of several models/techniques to showcase the tradeoff exercised by them ...
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