第二种方法: 《PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators 》 PCNN方法提出了SPM(sparse pattern mask)“稀疏模式掩码”,网络需要保存非零值和掩码编号,以3x3 kernel为例子,最多512种掩码,所以需要9位来保存掩码编号,具体如下图: 为了进一步限制kernel种掩码的数量,可以限定...
In addition to the unstructured weight pruning, we also propose a more fine-grained subword-level pruning to further improve the compression performance. Compared to the state-of-the-art works, the matrix compression rate is significantly improved from $5.88imes $ to $14.13imes $ . As a ...
传统的data skipping,基于partition pruning,这样粒度比较粗; 最近的系统支持,基于block的skipping,block要小的多, DB2的BLU的block,只有1000 tuple;PowerDrill的Block有50000 tuples;Shark基于HDFS block,128M; 但是之前的block都是依赖range partition来划分block,这是很直觉的方式 本文说range partition有一些问题, 会...
However, fine-grained pruning is not hardware friendly, while other structured pruning schemes will result in a much higher loss of accuracy under the same compression ratio. In this paper, an model compression strategy is given including the proposed efficient fine-grained pruning scheme, a ...
Guo YF, Zhang WW, Wang JH et al (2024b) AFMPM: adaptive feature map pruning method based on feature distillation. Int J Mach Learn Cybern 15:573–588. https://doi.org/10.1007/s13042-023-01926-2 Article Google Scholar Hou QB, Zhou DQ, Feng JS et al (2021) Coordinate attention for...
The metrics used for comparing global pruning-based reduction pattern are ported from the official MATLAB code repository of the "What do different evaluation metrics tell us about saliency models?" paper: https://github.com/cvzoya/saliency/tree/master/code_forMetricsLicense...
[18] proposed an aspect-oriented tree network that focuses on aspect terms by reshaping and pruning ordinary dependency trees. However, the above methods ignore the sentiment information between context words and aspect terms, which can directly demonstrate the sentiment expression for a specific ...
join employs three techniques (pruning, partitioning, and skipping) that devise a significantly more efficient way to work with tree-structured data. Most... S Mayer,T Grust,Maurice van Keulen •,... - Thirtieth International Conference on Very Large Data Bases 被引量: 52发表: 2004年 Adapti...
[18] proposed an aspect-oriented tree network that focuses on aspect terms by reshaping and pruning ordinary dependency trees. However, the above methods ignore the sentiment information between context words and aspect terms, which can directly demonstrate the sentiment expression for a specific ...
However, the inherent randomness in pruning methods often leads to fragmented data access and irregular computation patterns in sparse matrices, resulting in significantly reduced hardware efficiency. Addressing the balance between the ‘randomness’ required to maintain model accuracy and ...