Can FPGA’s Beat GPU’s in Accelerating Next-Generation Deep Neural Networks?

The exponential growth of digital data such as images, videos, and speech, from myriad sources (e.g., social media, internet-of-things) is driving the need for analytics to extract knowledge from the data.

Data analytics often rely on machine learning (ML) algorithms.

Among ML algorithms, deep convolutional neural networks (DNN’s) offer stat-of-the-art accuracies for important image classification task, and therefore are becoming widely adopted.

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