POSTER: Domain-Specialized Cache Management for Graph Analytics

被引:1
|
作者
Faldu, Priyank [1 ]
Diamond, Jeff [2 ]
Grot, Boris [1 ]
机构
[1] Univ Edinburgh, Edinburgh, Midlothian, Scotland
[2] Oracle Labs, Redwood Shores, CA USA
关键词
D O I
10.1109/PACT.2019.00051
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In the domain of graph analytics, power-law graphs are prevalent. In such graphs, a small fraction of vertices are responsible for a large share of all graph connections. These richly-connected (hot) vertices inherently exhibit high reuse. However, this work finds that the state-of-the-art hardware cache management schemes struggle in capitalizing on their reuse due to highly irregular access patterns of graph analytics. In response, we argue in favor of leveraging software knowledge of graph data structures to accurately pinpoint hot vertices in hardware. To that end, we propose GRASP, a domain-specialized LLC management scheme that enables high cache efficiency for graph analytics with minimal modifications to existing cache structures.
引用
收藏
页码:472 / 473
页数:2
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