A Reconfigurable and Representation-Adaptive ISA-Based Architecture for Efficient DNN Acceleration
Domain-specific hardware accelerators provide significantly higher performance and energy efficiency for deep neural network (DNN) workloads than general-purpose processors, but often lack adaptability to evolving model architectures. In contrast, general-purpose ISA-based solutions, such as RISC-V-based accelerators,...