Parallel architecture for multidimensional image processing

1990 ◽  
Author(s):  
Raj S. Acharya ◽  
Jean Hecquard
Keyword(s):  
Image Processing ◽  
Parallel Architecture

scholarly journals COSMO: Computing with Stochastic Numbers in Memory

2022 ◽  
Vol 18 (2) ◽  
pp. 1-25
Author(s):  
Saransh Gupta ◽  
Mohsen Imani ◽  
Joonseop Sim ◽  
Andrew Huang ◽  
Fan Wu ◽  
...  
Keyword(s):  
Neural Networks ◽  
Image Processing ◽  
Energy Efficient ◽  
Deep Neural Networks ◽  
Parallel Architecture ◽  
Low Energy ◽  
Stochastic Computing ◽  
Wide Range ◽  
Low Energy Consumption ◽  
Sc Addition

Stochastic computing (SC) reduces the complexity of computation by representing numbers with long streams of independent bits. However, increasing performance in SC comes with either an increase in area or a loss in accuracy. Processing in memory (PIM) computes data in-place while having high memory density and supporting bit-parallel operations with low energy consumption. In this article, we propose COSMO, an architecture for co mputing with s tochastic numbers in me mo ry, which enables SC in memory. The proposed architecture is general and can be used for a wide range of applications. It is a highly dense and parallel architecture that supports most SC encodings and operations in memory. It maximizes the performance and energy efficiency of SC by introducing several innovations: (i) in-memory parallel stochastic number generation, (ii) efficient implication-based logic in memory, (iii) novel memory bit line segmenting, (iv) a new memory-compatible SC addition operation, and (v) enabling flexible block allocation. To show the generality and efficiency of our stochastic architecture, we implement image processing, deep neural networks (DNNs), and hyperdimensional (HD) computing on the proposed hardware. Our evaluations show that running DNN inference on COSMO is 141× faster and 80× more energy efficient as compared to GPU.

A novel parallel architecture for real-time image processing

2009 ◽  
Author(s):  
Junhong Hu ◽  
Tianxu Zhang ◽  
Sheng Zhong ◽  
Xujun Chen
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Parallel Architecture ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
Time Image

Parallel image processing with the block data parallel architecture

1996 ◽  
Vol 84 (7) ◽  
pp. 947-968 ◽  
Author(s):  
W.E. Alexander ◽  
D.S. Reeves ◽  
C.S. Gloster
Keyword(s):  
Image Processing ◽  
Parallel Architecture ◽  
Data Parallel ◽  
Parallel Image Processing ◽  
Parallel Image ◽  
Block Data
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