Neural Networks for Computer Systems

被引：0
|
作者：
Rashelbach, Alon [1 ]
Rottenstreich, Ori [1 ]
Silberstien, Mark [1 ]
机构：
[1] Technion, Jerusalem, Israel
来源：
PROCEEDINGS OF THE 16TH ACM INTERNATIONAL SYSTEMS AND STORAGE CONFERENCE, SYSTOR 2023 | 2023年
关键词：
Neural Networks; Computer Systems;
D O I：
10.1145/3579370.3594755
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
We present the Range Query Recursive Model Index (RQRMI) data structure that trades memory accesses for computations in performance-critical systems that employ Range Matching.
引用
收藏
页码：147 / 147
页数：1
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