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05/10/2021
Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks
Elasticities in depth, width, kernel size and resolution have been explo...
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04/26/2021
HAO: Hardware-aware neural Architecture Optimization for Efficient Inference
Automatic algorithm-hardware co-design for DNN has shown great success i...
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12/08/2020
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework
Deep Neural Networks (DNNs) have achieved extraordinary performance in v...
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09/28/2020
NITI: Training Integer Neural Networks Using Integer-only Arithmetic
While integer arithmetic has been widely adopted for improved performanc...
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05/14/2020
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers
We present a novel network pruning algorithm called Dynamic Sparse Train...
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05/11/2020
CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks
Recurrent neural networks (RNNs) have been widely adopted in temporal se...
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10/14/2019
GraVF-M: Graph Processing System Generation for Multi-FPGA Platforms
Due to the irregular nature of connections in most graph datasets, parti...
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10/03/2019
High-dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction
We consider the problem of high-dimensional light field reconstruction a...
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05/24/2016