Optimizing Weight Mapping and Data Flow for Convolutional Neural Networks on RRAM Based Processing-In-Memory Architecture

2019 IEEE International Symposium on Circuits and Systems (ISCAS) ◽

10.1109/iscas.2019.8702715 ◽

2019 ◽

Author(s):

Xiaochen Peng ◽

Rui Liu ◽

Shimeng Yu

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Data Flow ◽

Memory Architecture

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Low-Energy Acceleration of Binarized Convolutional Neural Networks using a Spin Hall Effect based Logic-in-Memory Architecture

IEEE Transactions on Emerging Topics in Computing ◽

10.1109/tetc.2019.2915589 ◽

2019 ◽

pp. 1-1 ◽

Author(s):

Ashkan Samiee ◽

Payal Borulkar ◽

R. F. DeMara ◽

Peiyi Zhao ◽

Yu Bai

Keyword(s):

Neural Networks ◽

Hall Effect ◽

Convolutional Neural Networks ◽

Spin Hall Effect ◽

Memory Architecture

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Optimizing Weight Mapping and Data Flow for Convolutional Neural Networks on Processing-in-Memory Architectures

IEEE Transactions on Circuits and Systems I Regular Papers ◽

10.1109/tcsi.2019.2958568 ◽

2020 ◽

Vol 67 (4) ◽

pp. 1333-1343 ◽

Author(s):

Xiaochen Peng ◽

Rui Liu ◽

Shimeng Yu

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Data Flow ◽

Memory Architectures

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Learning Convolutional Neural Networks for Data-Flow Graph Mapping on Spatial Programmable Architectures (Abstract Only)

Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays - FPGA '17 ◽

10.1145/3020078.3021801 ◽

2017 ◽

Author(s):

Shouyi Yin ◽

Dajiang Liu ◽

Lifeng Sun ◽

Xinhan Lin ◽

Leibo Liu ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Data Flow ◽

Data Flow Graph ◽

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Towards memory-efficient processing-in-memory architecture for convolutional neural networks

ACM SIGPLAN Notices ◽

10.1145/3140582.3081032 ◽

2017 ◽

Vol 52 (5) ◽

pp. 81-90 ◽

Author(s):

Yi Wang ◽

Mingxu Zhang ◽

Jing Yang

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Memory Architecture ◽

Efficient Processing ◽

Memory Efficient

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A ReRAM-Based Row-Column-Oriented Memory Architecture for Convolutional Neural Networks

IEICE Transactions on Electronics ◽

10.1587/transele.2018cts0001 ◽

2019 ◽

Vol E102.C (7) ◽

pp. 580-584

Author(s):

Yan CHEN ◽

Jing ZHANG ◽

Yuebing XU ◽

Yingjie ZHANG ◽

Renyuan ZHANG ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Memory Architecture

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XNORAM: An Efficient Computing-in-Memory Architecture for Binary Convolutional Neural Networks with Flexible Dataflow Mapping

2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) ◽

10.1109/aicas48895.2020.9073848 ◽

2020 ◽

Author(s):

Shiwei Liu ◽

Haozhe Zhu ◽

Chixiao Chen ◽

Lihua Zhang ◽

C.-J. Richard Shi

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Memory Architecture

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Towards memory-efficient processing-in-memory architecture for convolutional neural networks

Proceedings of the 18th ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems - LCTES 2017 ◽

10.1145/3078633.3081032 ◽

2017 ◽

Author(s):

Yi Wang ◽

Mingxu Zhang ◽

Jing Yang

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Memory Architecture ◽

Efficient Processing ◽

Memory Efficient

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XNOR-POP: A processing-in-memory architecture for binary Convolutional Neural Networks in Wide-IO2 DRAMs

2017 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) ◽

10.1109/islped.2017.8009163 ◽

2017 ◽

Author(s):

Lei Jiang ◽

Minje Kim ◽

Wujie Wen ◽

Danghui Wang

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Memory Architecture

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An Efficient Racetrack Memory-Based Processing-in-Memory Architecture for Convolutional Neural Networks

2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC) ◽

10.1109/ispa/iucc.2017.00061 ◽

2017 ◽

Author(s):

Bicheng Liu ◽

Shouzhen Gu ◽

Mingsong Chen ◽

Wang Kang ◽

Jingtong Hu ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Memory Architecture

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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.

10.1055/s-0040-1703340 ◽

2020 ◽

Author(s):

F Seith ◽

J Vogel ◽

C la Fougère ◽

T Küstner ◽

K Nikolaou ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

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