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04/08/2023
Training Neural Networks for Execution on Approximate Hardware
Approximate computing methods have shown great potential for deep learni...
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11/10/2022
PhotoFourier: A Photonic Joint Transform Correlator-Based Neural Network Accelerator
The last few years have seen a lot of work to address the challenge of l...
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01/25/2022
Bit-serial Weight Pools: Compression and Arbitrary Precision Execution of Neural Networks on Resource Constrained Processors
Applications of neural networks on edge systems have proliferated in rec...
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12/23/2021
Batch Processing and Data Streaming Fourier-based Convolutional Neural Network Accelerator
Decision-making by artificial neural networks with minimal latency is pa...
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03/01/2021
SWIS – Shared Weight bIt Sparsity for Efficient Neural Network Acceleration
Quantization is spearheading the increase in performance and efficiency ...
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11/14/2020
Channel Tiling for Improved Performance and Accuracy of Optical Neural Network Accelerators
Low latency, high throughput inference on Convolution Neural Networks (C...
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10/21/2019
