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Sparse-PE: A Performance-Efficient Processing Engine Core for Sparse Convolutional Neural Networks
IEEE Access
◽
10.1109/access.2021.3126708
◽
2021
◽
pp. 1-1
Author(s):
Mahmood Azhar Qureshi
◽
Arslan Munir
Keyword(s):
Neural Networks
◽
Convolutional Neural Networks
◽
Efficient Processing
◽
Processing Engine
◽
A Performance
Download Full-text
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Correction to: Efficient Processing of Convolutional Neural Networks on SW26010
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◽
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◽
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◽
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◽
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◽
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◽
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A Performance Analysis of Deep Convolutional Neural Networks using Kuzushiji Character Recognition
2020 International Conference on Decision Aid Sciences and Application (DASA)
◽
10.1109/dasa51403.2020.9317188
◽
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◽
Author(s):
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◽
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◽
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◽
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A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification
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DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks
2020 57th ACM/IEEE Design Automation Conference (DAC)
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◽
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◽
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◽
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Efficient Processing of Convolutional Neural Networks on SW26010
Lecture Notes in Computer Science - Network and Parallel Computing
◽
10.1007/978-3-030-30709-7_26
◽
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◽
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◽
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◽
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Evaluation von Bildparametern und eines convolutional neural networks in der FDG-PET/MR/CT zur Prädiktion des Gesamtüberlebens (OS) und des Therapieansprechens bei Patienten mit Melanom unter CIT.
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◽
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◽
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◽
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◽
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◽
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