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12/07/2021
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules
Multi-Chip-Modules (MCMs) reduce the design and fabrication cost of mach...
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03/11/2021
MPU: Towards Bandwidth-abundant SIMT Processor via Near-bank Computing
With the growing number of data-intensive workloads, GPU, which is the s...
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09/26/2020
Rubik: A Hierarchical Architecture for Efficient Graph Learning
Graph convolutional network (GCN) emerges as a promising direction to le...
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08/09/2020
SEALing Neural Network Models in Secure Deep Learning Accelerators
Deep learning (DL) accelerators are increasingly deployed on edge device...
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03/10/2019
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints
As neural networks continue their reach into nearly every aspect of soft...
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01/28/2019
FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture
Neural Network (NN) accelerators with emerging ReRAM (resistive random a...
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01/24/2019