CacheMind: From Miss Rates to Why - Natural-Language, Trace-Grounded Reasoning for Cache Replacement

International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2026 Open access

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Authors: Kaushal Mhapsekar, Azam Ghanbari, Bita Aslrousta, Samira Mirbagher Ajorpaz
DOI: 10.1145/3779212.3790136
Cited by: 0

Abstract

Cache replacement remains a challenging problem in CPU microarchitecture, often addressed using hand-crafted heuristics that limit cache performance. Cache data analysis requires parsing millions of trace entries with manual filtering, making the process slow and non-interactive.

Fields of Study & Subjects

Parallel Computing and Optimization Techniques Software System Performance and Reliability Software Engineering Research

Publication details

Journal / source
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)
Pages
307–322
Publication date
10 March 2026
Language
EN