Mohd Hammad Khan, Devdutt Sharma, N. Prasanth, S. Raja
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Bitcoin Price Prediction in a Distributed Environment Using a Tensor Processing Unit: A Comparison With a CPU-Based Model
Bitcoin is the world’s most traded cryptocurrency and highly popular among cryptocurrency investors and miners. However, its volatility makes it a risky investment, which leads to the need for accurate and fast price-prediction models. This article proposes a Bitcoin price-prediction model using a long short-term memory (LSTM) network in a distributed environment. A tensor processing unit (TPU) has been used to provide the distributed environment for the model. The results show that the TPU-based model performed significantly better than a conventional CPU-based model.
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