Ascend: a Scalable and Unified Architecture for Ubiquitous Deep Neural Network Computing : Industry Track Paper
2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA)(2021)
摘要
Deep neural networks (DNNs) have been successfully applied to a great variety of applications, ranging from small IoT devices to large scale services in a data center. In order to improve the efficiency of processing these DNN models, dedicated hardware accelerators are required for all these scenarios. Theoretically, there exists an optimized acceleration architecture for each application. Howeve...
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关键词
Training,Neural networks,Memory management,Computer architecture,Software,Heterogeneous networks,Hardware
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