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Parallelizing SRAM arrays with customized bit-cell for binary neural networks

Overview of attention for article published in this source, June 2018
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Article details
Title
Parallelizing SRAM arrays with customized bit-cell for binary neural networks
Published by
Association for Computing Machinery (ACM), June 2018
DOI 10.1145/3195970.3196089
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 13 22%
Student > Master 12 20%
Student > Bachelor 7 12%
Student > Doctoral Student 4 7%
Other 2 3%
Other 3 5%
Unknown 19 32%
Readers by discipline
Readers by discipline Count As %
Engineering 25 42%
Computer Science 15 25%
Physics and Astronomy 1 2%
Neuroscience 1 2%
Unknown 18 30%