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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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11/07/2022
DeepFlow: A Cross-Stack Pathfinding Framework for Distributed AI Systems
Over the past decade, machine learning model complexity has grown at an ...
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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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05/10/2020
MOMBAT: Heart Rate Monitoring from Face Video using Pulse Modeling and Bayesian Tracking
A non-invasive yet inexpensive method for heart rate (HR) monitoring is ...
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07/30/2019
Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training
Deploying deep learning (DL) models across multiple compute devices to t...
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08/04/2018
Implementation and Analysis of Stable PUFs Using Gate Oxide Breakdown
We implement and analyze highly stable PUFs using two random gate oxide ...
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10/09/2017
Hotspot-aware DSA Grouping and Mask Assignment
In Directed Self Assembly (DSA), poor printing of guiding templates can ...
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03/31/2017