Optimizing Data Layout for Racetrack Memory in Embedded Systems

Author:

Hui Peng1,Sha Edwin H.-M.1,Zhuge Qingfeng1,Xu Rui1,Wang Han1

Affiliation:

1. East China Normal University, Shanghai, China

Funder

National Natural Science Foundation of China

Shanghai Science and Technology Commission Project

Publisher

ACM

Reference12 articles.

1. Magnetic Domain-Wall Racetrack Memory

2. Optimizing data placement for reducing shift operations on domain wall memories

3. A. Khan , F. Hameed , R. Bläsing , S. Parkin , and J. Castrillon . Shiftsreduce: Minimizing shifts in racetrack memory 4.0. ACM Transactions on Architecture and Code Optimization (TACO), 16(4):1--23 , 2019 . A. Khan, F. Hameed, R. Bläsing, S. Parkin, and J. Castrillon. Shiftsreduce: Minimizing shifts in racetrack memory 4.0. ACM Transactions on Architecture and Code Optimization (TACO), 16(4):1--23, 2019.

4. Relaxed Placement

5. A. Khan , A. Goens , F. Hameed , and J. Castrillon . Generalized data placement strategies for racetrack memories. In 2020 Design , Automation & Test in Europe Conference & Exhibition (DATE) , pages 1502 -- 1507 . IEEE, 2020 . A. Khan, A. Goens, F. Hameed, and J. Castrillon. Generalized data placement strategies for racetrack memories. In 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), pages 1502--1507. IEEE, 2020.

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