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09/16/2019
High-Throughput In-Memory Computing for Binary Deep Neural Networks with Monolithically Integrated RRAM and 90nm CMOS
Deep learning hardware designs have been bottlenecked by conventional me...
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08/15/2019
Automatic Compiler Based FPGA Accelerator for CNN Training
Training of convolutional neural networks (CNNs)on embedded platforms to...
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04/19/2018
Minimizing Area and Energy of Deep Learning Hardware Design Using Collective Low Precision and Structured Compression
Deep learning algorithms have shown tremendous success in many recogniti...
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09/19/2017
