Abstract: Dedicated neural-network inference-processors improve latency and power of the computing devices. They use custom memory hierarchies that take into account the flow of operators present in ...
Abstract: In order to facilitate the deployment of diverse deep learning models while maintaining scalability, modern DNN accelerators frequently employ reconfigurable structures such as ...
The super-exponential growth of data harvested from human input and physical measurements is exceeding our ability to build and power infrastructure to communicate, store and analyze, making our ...
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