Cache management in MASCARA-FPGA: from coalescing heuristic to replacement policy - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2022

Cache management in MASCARA-FPGA: from coalescing heuristic to replacement policy

Résumé

We presented ModulAr Semantic CAching fRAmework (MASCARA) that deployed Semantic Caching (SC) to perform a fast query processing based on Field Programmable Gate Arrays (FPGAs) accelerators. In addition of the accelerators, cache management plays an important role to address coalescing strategy and replacement policy so as to maximize the performance of FPGA caching. Therefore, in this paper, we present a coalescing heuristic with a new replacement function that leverages advantages of traditional strategies and overcomes their drawbacks. The proposed heuristic reduces response time, improves data availability, and saves cache space with respect to the semantic locality of query workload.
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Dates et versions

hal-03907912 , version 1 (06-01-2023)

Identifiants

Citer

Van Long Nguyen Huu, Julien Lallet, Emmanuel Casseau, Laurent d'Orazio. Cache management in MASCARA-FPGA: from coalescing heuristic to replacement policy. DaMoN 2022 - 18th International Workshop on Data Management on New Hardware, Jun 2022, Philadelphia, United States. pp.1-5, ⟨10.1145/3533737.3535096⟩. ⟨hal-03907912⟩
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