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LabSeminar2019
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JongeunLee
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Lab Seminar 2019
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Schedule
Paper list
Information
Lab seminar
Time: 7pm Wednesdays
Place: 106-dong 511
Schedule
Day
Date
Presenter
Contents
Note
1
Tue 6/18, 5pm
Sugil
DAC papers: Noise injection adaptation, ApproxLP, E-LSTM
Hyeonuk
DAC papers: 41_2, SkippyNN (SC), BitBlade, ABM
2
Wed 6/26
Jongeun
DAC Tutorial 5
3
Fri 7/12, 1pm
Jun-gi
SOSPCS
Paper list
https://arxiv.org/pdf/1811.07755.pdf
(UGConv)
dynamic pruning
https://papers.nips.cc/paper/6813-runtime-neural-pruning
https://arxiv.org/abs/1810.05331
https://arxiv.org/abs/1805.12549
attention mechanism paper(s)
DAC
41_2.pdf Acceleration of DNN Backward Propagation by Selective Computation of Gradients
41_1.pdf BitBlade: Area and Energy-efficient Precision-scalable Neural Network Accelerator with Bitwise Summation
41_4.pdf ABM-spConv: A Novel Approach to FPGA-based Acceleration of Convolutional Neural Network Inference
Noise Injection Adaption: End-to-End
ReRAM
Crossbar Non-ideal Effect Adaption for Neural Network Mapping
ApproxLP: Approximate Multiplication with Linearization and Iterative Error Control
How to extend it to other ranges or other types (eg, fixed-point)?
E-LSTM: Efficient Inference of Sparse LSTM on Embedded Heterogeneous System
SkippyNN: An Embedded Stochastic-computing Accelerator for Convolutional Neural Networks.
SOSPCS: (TVLSI 2019 June)
"Self-Optimizing and Self-Programming Computing Systems: A Combined Compiler, Complex Networks, and Machine Learning Approach", Xiao et al.
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JongeunLee
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