基于聚合物的光增量分片,用于推系统的高效嵌入表管理
Chao Kong1,2, Jiahui Chen3,4, Dan Meng5
1School of Computer and Information, Anhui Polytechnic University, Wuhu, 241000, China. kongchao@ahpu.edu.cn.
Scientific reports
|August 28, 2025
概括
这项研究介绍了基于聚合的轻增分片 (ALIS),这是一种新方法,用于在推系统中高效的动态嵌入表片. ALIS显著降低了网络开销,并提高了实时应用的推断效率.
科学领域:
- 计算机科学
- 机器学习
- 人工智能
背景情况:
- 现有的动态嵌入表分片方法往往优先考虑训练而不是推断,导致实时推系统的性能不足.
- 推推断的挑战包括不断演变的并发模式和严格的延迟要求,目前的分片技术无法充分解决这些问题.
研究的目的:
- 开发一种专门针对推推断的高效动态嵌入表分片的新方法.
- 通过考虑推断特定的挑战来解决现有的以培训为中心的分片方法的局限性.
主要方法:
- 提出基于聚合物的轻增分离 (ALIS) 方法,该方法采用基于聚合物的分离,以提高稳定性和质量.
- 通过代和基于统计的方法将轻量增量分片结合起来,以减少动态分片成本.
主要成果:
- 与最先进的方法相比,ALIS在降低网络开销方面表现出卓越的表现.
- 提出的方法显著提高了推系统的推断效率.
结论:
- ALIS为推推断中的动态嵌入表分片提供了合理和优质的解决方案.
- 该方法有效地解决了推断的具体挑战,从而提高了系统性能.
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