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12/04/2021
Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference
FPGA-specific DNN architectures using the native LUTs as independently t...
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02/08/2021
Enabling Binary Neural Network Training on the Edge
The ever-growing computational demands of increasingly complex machine l...
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06/16/2020
Digit Stability Inference for Iterative Methods Using Redundant Number Representation
In our recent work on iterative computation in hardware, we showed that ...
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10/24/2019
LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference
Research has shown that deep neural networks contain significant redunda...
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10/01/2019
ARCHITECT: Arbitrary-precision Hardware with Digit Elision for Efficient Iterative Compute
Many algorithms feature an iterative loop that converges to the result o...
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04/01/2019
LUTNet: Rethinking Inference in FPGA Soft Logic
Research has shown that deep neural networks contain significant redunda...
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01/21/2019
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going
Deep neural networks have proven to be particularly effective in visual ...
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07/05/2016