Implemetation of image classification CNN using multi thread GPU

Seong-Hyeon Han, Kwang-Yeob Lee · 2017

This study implemented an image classification CNN using a multi-thread GPU. For the CNN, the CIFAR10 dataset was used, and the multi-thread GPU had 256 threads. Using the 256 threads limited to each layer, allocation and parallel processing were conducted. The image classification CNN took 807 ms for computation.

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