Thermal-constrained Memory Management for Three-Dimensional DRAM-PCM Memory with Deep Neural Network Applications

Microprocessors and Microsystems ◽

10.1016/j.micpro.2022.104444 ◽

2022 ◽

pp. 104444

Author(s):

Shu-Yen Lin ◽

Shao-Cheng Wang

Keyword(s):

Neural Network ◽

Memory Management ◽

Deep Neural Network ◽

Three Dimensional ◽

Network Applications ◽

Neural Network Applications

Download Full-text

Hierarchical Approximate Memory for Deep Neural Network Applications

2020 54th Asilomar Conference on Signals, Systems, and Computers ◽

10.1109/ieeeconf51394.2020.9443540 ◽

2020 ◽

Author(s):

Minho Ha ◽

Seokha Hwang ◽

Jeonghun Kim ◽

Youngjoo Lee ◽

Sunggu Lee

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Network Applications ◽

Neural Network Applications

Download Full-text

A Lightweight Posit Processing Unit for RISC-V Processors in Deep Neural Network Applications

IEEE Transactions on Emerging Topics in Computing ◽

10.1109/tetc.2021.3120538 ◽

2021 ◽

pp. 1-1

Author(s):

Marco Cococcioni ◽

Federico Rossi ◽

Emanuele Ruffaldi ◽

Sergio Saponara

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Processing Unit ◽

Network Applications ◽

Neural Network Applications

Download Full-text

Design of a Low Power Bfloat16 Pipelined MAC Unit for Deep Neural Network Applications

10.1109/tensymp52854.2021.9550912 ◽

2021 ◽

Author(s):

Ankita Tiwari ◽

Gaurav Trivedi ◽

Prithwijit Guha

Keyword(s):

Neural Network ◽

Low Power ◽

Deep Neural Network ◽

Network Applications ◽

Neural Network Applications

Download Full-text

Architecture-Centric Bottleneck Analysis for Deep Neural Network Applications

2019 IEEE 26th International Conference on High Performance Computing, Data, and Analytics (HiPC) ◽

10.1109/hipc.2019.00034 ◽

2019 ◽

Author(s):

Jihyun Ryoo ◽

Mengran Fan ◽

Xulong Tang ◽

Huaipan Jiang ◽

Meena Arunachalam ◽

...

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Network Applications ◽

Bottleneck Analysis ◽

Neural Network Applications

Download Full-text

TensorClog: An Imperceptible Poisoning Attack on Deep Neural Network Applications

IEEE Access ◽

10.1109/access.2019.2905915 ◽

2019 ◽

Vol 7 ◽

pp. 41498-41506 ◽

Cited By ~ 2

Author(s):

Juncheng Shen ◽

Xiaolei Zhu ◽

De Ma

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Network Applications ◽

Neural Network Applications

Download Full-text

Machine Learning and Deep Neural Network Applications in the Thorax

Journal of Thoracic Imaging ◽

10.1097/rti.0000000000000492 ◽

2020 ◽

Vol 35 ◽

pp. S40-S48

Author(s):

Martine Remy-Jardin ◽

Jean-Baptiste Faivre ◽

Rainer Kaergel ◽

Antoine Hutt ◽

Paul Felloni ◽

...

Keyword(s):

Neural Network ◽

Machine Learning ◽

Deep Neural Network ◽

Network Applications ◽

Neural Network Applications

Download Full-text

Enhancing LiAlOX synaptic performance by reducing the Schottky barrier height for deep neural network applications

Nanoscale ◽

10.1039/d0nr04782a ◽

2020 ◽

Vol 12 (45) ◽

pp. 22970-22977

Author(s):

Yaoyao Fu ◽

Boyi Dong ◽

Wan-Ching Su ◽

Chih-Yang Lin ◽

Kuan-Ju Zhou ◽

...

Keyword(s):

Neural Network ◽

Schottky Barrier ◽

Barrier Height ◽

Deep Neural Network ◽

Schottky Barrier Height ◽

Network Applications ◽

Neural Network Applications

The synaptic behaviors of LiAlOX devices are optimized by lowering the Schottky barrier height.

Download Full-text

Blockchain-based edge computing for deep neural network applications

Proceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications - INTESA '18 ◽

10.1145/3285017.3285027 ◽

2018 ◽

Cited By ~ 2

Author(s):

Jae-Yun Kim ◽

Soo-Mook Moon

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Edge Computing ◽

Network Applications ◽

Neural Network Applications

Download Full-text

Scalable Data Management on Hybrid Memory System for Deep Neural Network Applications

10.1109/bigdata52589.2021.9671309 ◽

2021 ◽

Author(s):

Wei Rang ◽

Donglin Yang ◽

Zhimin Li ◽

Dazhao Cheng

Keyword(s):

Neural Network ◽

Data Management ◽

Deep Neural Network ◽

Memory System ◽

Hybrid Memory ◽

Network Applications ◽

Neural Network Applications

Download Full-text

Sanity-Check: Boosting the Reliability of Safety-Critical Deep Neural Network Applications

2019 IEEE 28th Asian Test Symposium (ATS) ◽

10.1109/ats47505.2019.000-8 ◽

2019 ◽

Cited By ~ 5

Author(s):

Elbruz Ozen ◽

Alex Orailoglu

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Safety Critical ◽

Network Applications ◽

Neural Network Applications

Download Full-text