Challenges and Opportunities: From Near-memory Computing to In-memory Computing

被引：27
|
作者：
Khoram, Soroosh [1 ]
Zha, Yue [1 ]
Zhang, Jialiang [1 ]
Li, Jing [1 ]
机构：
[1] Univ Wisconsin, Dept Elect & Comp Engn, 1415 Johnson Dr, Madison, WI 53706 USA
来源：
ISPD'17: PROCEEDINGS OF THE 2017 ACM INTERNATIONAL SYMPOSIUM ON PHYSICAL DESIGN | 2017年
关键词：
In-memory processing; Near-memory processing; Nonvolatile Memory; 3D Integration; DEVICE; DRAM; RAM;
D O I：
10.1145/3036669.3038242
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The confluence of the recent advances in technology and the ever-growing demand for large-scale data analytics created a renewed interest in a decades-old concept, processing-in-memory (PIM). PIM, in general, may cover a very wide spectrum of compute capabilities embedded in close proximity to or even inside the memory array. In this paper, we present an initial taxonomy for dividing PIM into two broad categories: 1) Near-memory processing and 2) In-memory processing. This paper highlights some interesting work in each category and provides insights into the challenges and possible future directions.
引用
收藏
页码：43 / 46
页数：4
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