App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 8

Cache-aware attribute grouping transformer for CPU cache performance prediction

Cheng Shunxin
Tang Xiaoyong
School of Computer Science and Technology, Changsha University of Science and Technology, Changsha 410114, China
DOI: 10.19734/j.issn.1001-3695.2025.12.0514

Abstract

To address the challenges of semantic heterogeneity and complex non-uniform dependencies among parameters in CPU cache performance prediction, this work proposes a Transformer-based model named CAAG-Transformer (Cache-Aware Attribute Grouping Transformer) . This model integrates raw parameter values with attribute IDs and categorical features through a classification ID embedding module, mapping heterogeneous features into distinct semantic spaces. Furthermore, the proposed model introduces a grouped attention mechanism, employing strategies such as group aggregation and intra-group filtering to dynamically capture complex dependencies among features and refine core performance parameters. Experiments on a cache parameter dataset built with Gem5 demonstrate that CAAG-Transformer achieves an MSE of 2.40 and an MAE of 1.11, outperforming current mainstream prediction methods. This model provides a viable approach for cache performance analysis and design in the development of high-performance domestic CPUs.

Foundation Support

国家自然科学基金资助项目(62372064)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.12.0514
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 8

Publish History

[2026-04-22] Accepted Paper

Cite This Article

程顺欣, 唐小勇. 基于Transformer的融合属性分组注意力CPU高速缓存性能预测模型 [J]. 计算机应用研究, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.12.0514. (Cheng Shunxin, Tang Xiaoyong. Cache-aware attribute grouping transformer for CPU cache performance prediction [J]. Application Research of Computers, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.12.0514. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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