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High Speed Accelerators Hardware Implementation for Fully Connected Neural Network Model Using 3D Systolic Array Architecture

High Speed Accelerators Hardware Implementation for Fully Connected Neural Network Model Using 3D Systolic Array Architecture

publishedDate Venue IEIE Transactions on Smart Processing & Computing

Source-permitted summary

High Speed Accelerators Hardware Implementation for Fully Connected Neural Network Model Using 3D Systolic Array Architecture

SourceThe Institute of Electronics Engineers of Korea

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Primary source
The Institute of Electronics Engineers of Korea
Correction status
none
Evidence coverage
1 sources / 1 publishers
Last metadata check
Jul 19, 2026
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Core signal
High Speed Accelerators Hardware Implementation for Fully Connected Neural Network Model Using 3D Systolic Array Architecture
Field context
Compute and Hardware
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Not stated in the reviewed source.
Why it matters
Recent source-backed research output for AISci Stage A browsing.
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IEIE Transactions on Smart Processing & ComputingSourceThe Institute of Electronics Engineers of Korea

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  1. paperHigh Speed Accelerators Hardware Implementation for Fully Connected Neural Network Model Using 3D Systolic Array Architecture