FATE: Fast and Accurate Timing Error Prediction Framework for Low Power DNN Accelerator Design
收藏DataCite Commons2024-12-16 更新2025-04-16 收录
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https://service.tib.eu/ldmservice/dataset/e0f9dc50-1aa9-4fe7-b7a4-feffe8cef54e
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资源简介:
Deep neural networks (DNN) are increasingly being accelerated on application-specific hardware such as the Google TPU designed especially for deep learning. Timing speculation is a promising approach to further increase the energy efficiency of DNN accelerators.
深度神经网络(Deep Neural Networks,DNN)正日益在专为深度学习设计的专用硬件(如谷歌张量处理单元(Google TPU))上实现加速。时序推测是进一步提升深度神经网络加速器能效的极具前景的方案。
提供机构:
TIB
创建时间:
2024-12-16



