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08/12/2023
Sensitivity-Aware Mixed-Precision Quantization and Width Optimization of Deep Neural Networks Through Cluster-Based Tree-Structured Parzen Estimation
As the complexity and computational demands of deep learning models rise...
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07/07/2023
BlendNet: Design and Optimization of a Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions
This paper presents BlendNet, a neural network architecture employing a ...
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05/08/2023
SNT: Sharpness-Minimizing Network Transformation for Fast Compression-friendly Pretraining
Model compression has become the de-facto approach for optimizing the ef...
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04/13/2023
Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks
Recent efforts to improve the performance of neural network (NN) acceler...
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03/04/2023
A Fast Training-Free Compression Framework for Vision Transformers
Token pruning has emerged as an effective solution to speed up the infer...
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08/17/2022
Better Than Worst-Case Decoding for Quantum Error Correction
The overheads of classical decoding for quantum error correction on supe...
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07/30/2022
Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis
Recent efforts for improving the performance of neural network (NN) acce...
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06/30/2022
Sparse Periodic Systolic Dataflow for Lowering Latency and Power Dissipation of Convolutional Neural Network Accelerators
This paper introduces the sparse periodic systolic (SPS) dataflow, which...
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04/07/2021
NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic
While there is a large body of research on efficient processing of deep ...
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07/30/2020