Title
ZUMA: Enabling Direct Insertion/Deletion Operations with Emerging Skyrmion Racetrack Memory
Abstract
Data insertion and deletion are common operations exist in various applications. However, traditional memory architecture can only perform an indirect insertion/deletion with multiple data read and write operations, which is significantly time and energy consuming. To mitigate this problem, we propose to leverage the unique capability of emerging skyrmion racetrack memory technology that it can naturally support direct insertion/deletion operations inside a racetrack. In this work, we first present a circuit level model for skyrmion racetrack memory. Then, we further propose a novel memory architecture to enable an efficient large size data insertion/deletion. With the help of the model and the architecture, we study several potential applications to leverage the insertion and deletion operations. Experimental results demonstrate that the efficiency of these operations can be substantially improved.
Year
DOI
Venue
2019
10.1145/3316781.3317937
Proceedings of the 56th Annual Design Automation Conference 2019
Field
DocType
ISBN
Skyrmion,Architecture,Computer architecture,Multiple data,Computer science,Electronic engineering,Memory architecture,Racetrack memory
Conference
978-1-4503-6725-7
Citations 
PageRank 
References 
1
0.36
0
Authors
5
Name
Order
Citations
PageRank
Zheng Liang1278.81
Guangyu Sun21920111.55
Wang Kang316127.54
Xing Chen410.36
Weisheng Zhao5730105.43