2019 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications (EMC2)
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9781728167633

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Bootstrapping Deep Neural Networks from Approximate Image Processing Pipelines

2019 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications (EMC2) ◽

10.1109/emc249363.2019.00009 ◽

2019 ◽

Author(s):

Sek Chai ◽

Kilho Son ◽

Jesse Hostetler

Keyword(s):

Neural Networks ◽

Image Processing ◽

Deep Neural Networks

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[Title page i]

2019 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications (EMC2) ◽

10.1109/emc249363.2019.00001 ◽

2019 ◽

Keyword(s):

Title Page

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Author Index

2019 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications (EMC2) ◽

10.1109/emc249363.2019.00016 ◽

2019 ◽

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NNBench-X: A Benchmarking Methodology for Neural Network Accelerator Designs

2019 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications (EMC2) ◽

10.1109/emc249363.2019.00010 ◽

2019 ◽

Author(s):

Xinfeng Xie ◽

Xing Hu ◽

Peng Gu ◽

Shuangchen Li ◽

Yu Ji ◽

...

Keyword(s):

Neural Network

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Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs

2019 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications (EMC2) ◽

10.1109/emc249363.2019.00008 ◽

2019 ◽

Cited By ~ 6

Author(s):

Partha Maji ◽

Andrew Mundy ◽

Ganesh Dasika ◽

Jesse Beu ◽

Matthew Mattina ◽

...

Keyword(s):

Convolution Kernel

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PyRTLMatrix: An Object-Oriented Hardware Design Pattern for Prototyping ML Accelerators

2019 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications (EMC2) ◽

10.1109/emc249363.2019.00015 ◽

2019 ◽

Cited By ~ 1

Author(s):

Dawit Aboye ◽

Dylan Kupsh ◽

Maggie Lim ◽

Jacqueline Mai ◽

Deeksha Dangwal ◽

...

Keyword(s):

Design Pattern ◽

Hardware Design ◽

Object Oriented

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EMC2 2019 Review Committee

2019 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications (EMC2) ◽

10.1109/emc249363.2019.00006 ◽

2019 ◽

Keyword(s):

Review Committee

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2019 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications (EMC2) ◽

10.1109/emc249363.2019.00004 ◽

2019 ◽

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Integrating NVIDIA Deep Learning Accelerator (NVDLA) with RISC-V SoC on FireSim

2019 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications (EMC2) ◽

10.1109/emc249363.2019.00012 ◽

2019 ◽

Cited By ~ 3

Author(s):

Farzad Farshchi ◽

Qijing Huang ◽

Heechul Yun

Keyword(s):

Deep Learning

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EMC2 2019 Invited Talk Abstracts

2019 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications (EMC2) ◽

10.1109/emc249363.2019.00007 ◽

2019 ◽

Download Full-text

2019 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications (EMC2)
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Bootstrapping Deep Neural Networks from Approximate Image Processing Pipelines

[Title page i]

Author Index

NNBench-X: A Benchmarking Methodology for Neural Network Accelerator Designs

Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs

PyRTLMatrix: An Object-Oriented Hardware Design Pattern for Prototyping ML Accelerators

EMC2 2019 Review Committee

Table of contents

Integrating NVIDIA Deep Learning Accelerator (NVDLA) with RISC-V SoC on FireSim

EMC2 2019 Invited Talk Abstracts

Export Citation Format

2019 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications (EMC2)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Bootstrapping Deep Neural Networks from Approximate Image Processing Pipelines

[Title page i]

Author Index

NNBench-X: A Benchmarking Methodology for Neural Network Accelerator Designs

Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs

PyRTLMatrix: An Object-Oriented Hardware Design Pattern for Prototyping ML Accelerators

EMC2 2019 Review Committee

Table of contents

Integrating NVIDIA Deep Learning Accelerator (NVDLA) with RISC-V SoC on FireSim

EMC2 2019 Invited Talk Abstracts

2019 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications (EMC2)
Latest Publications