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

V. Huu, Laurent d'Orazio, E. Casseau, Julien Lallet
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引用次数: 2

Abstract

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.
MASCARA-FPGA中的缓存管理:从合并启发式到替换策略
我们提出了模块化语义缓存框架(MASCARA),该框架部署语义缓存(SC)来执行基于现场可编程门阵列(fpga)加速器的快速查询处理。除了加速器之外,缓存管理在解决合并策略和替换策略方面起着重要作用,从而最大限度地提高FPGA缓存的性能。因此,在本文中,我们提出了一种具有新的替换函数的合并启发式方法,该方法利用了传统策略的优点并克服了它们的缺点。所提出的启发式方法减少了响应时间,提高了数据可用性,并且相对于查询工作负载的语义局部性节省了缓存空间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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