AIM: Energy-Efficient Aggregation Inside the Memory Hierarchy

被引：4
作者：
Ahn, Junwhan [1 ]
Yoo, Sungjoo [2 ]
Choi, Kiyoung [1 ]
机构：
[1] Seoul Natl Univ, Dept Elect & Comp Engn, Seoul, South Korea
[2] Seoul Natl Univ, Dept Comp Sci & Engn, Seoul, South Korea
来源：
ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION | 2016年 / 13卷 / 04期
关键词：
Processing-in-memory; near-data processing; aggregation; locality-adaptive execution; DRAM;
D O I：
10.1145/2994149
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this article, we propose Aggregation-in-Memory (AIM), a new processing-in-memory system designed for energy efficiency and near-term adoption. In order to efficiently perform aggregation, we implement simple aggregation operations in main memory and develop a locality-adaptive host architecture for inmemory aggregation, called cache-conscious aggregation. Through this, AIM executes aggregation at the most energy-efficient location among all levels of the memory hierarchy. Moreover, AIM minimally changes existing sequential programming models and provides fully automated compiler toolchain, thereby allowing unmodified legacy software to use AIM. Evaluations show that AIM greatly improves the energy efficiency of main memory and the system performance.
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页数：24
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