Optimization of Scatter Network Architectures and Bank Allocations for Sparse CNN Accelerators

Optimization of Scatter Network Architectures and Bank Allocations for Sparse CNN Accelerators

Sparse convolutional neural network (SCNN) accelerators eliminate unnecessary computations and memory access by exploiting zero-valued activation pixels and filter weights. However, data movement between the multiplier array and accumulator buffer tends to be a performance bottleneck. Specifically,...

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Bibliographic Details
Main Authors: Sunwoo Kim, Sungkyung Park, Chester Sungchung Park
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Accelerator
convolutional neural networks (CNNs)
cycle-accurate simulator
data compression
dataflow
network on a chip (NoC)
Online Access:https://ieeexplore.ieee.org/document/9857922/

Internet

https://ieeexplore.ieee.org/document/9857922/

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