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cs.AR2021
A Survey of Near-Data Processing Architectures for Neural Networks
Mehdi Hassanpour, Marc Riera, Antonio González
Data-intensive workloads and applications, such as machine learning (ML), are fundamentally limited by traditional computing systems based on the von-Neumann architecture. As data…
cs.AR2021
CREW: Computation Reuse and Efficient Weight Storage for Hardware-accelerated MLPs and RNNs
Marc Riera, Jose-Maria Arnau, Antonio Gonzalez
Deep Neural Networks (DNNs) have achieved tremendous success for cognitive applications. The core operation in a DNN is the dot product between quantized inputs and weights. Prior…