Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems

BCM Choong, T Luo, C Liu, B He, W Zhang… - Journal of Systems …, 2022 - Elsevier
Deep neural networks generate and process large volumes of data, posing challenges for
low-resource embedded systems. In-memory computing has been demonstrated as an …
被引用次数：3 相关文章

Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems

BCM Choong, T Luo, C Liu, B He, W Zhang, JT Zhou - 2022 - dl.acm.org
Deep neural networks generate and process large volumes of data, posing challenges for
low-resource embedded systems. In-memory computing has been demonstrated as an …

Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems

BCM Choong, T Luo, C Liu, B He, W Zhang, JT Zhou - 2022 - 119.78.100.204
摘要Deep neural networks generate and process large volumes of data, posing challenges
for low-resource embedded systems. In-memory computing has been demonstrated as an …

Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems

BCM Choong, T Luo, C Liu, B He, W Zhang, JT Zhou - 2022 - 119.78.100.204
摘要Deep neural networks generate and process large volumes of data, posing challenges
for low-resource embedded systems. In-memory computing has been demonstrated as an …