Evaluating LSTM Time Series Prediction Performance on Benchmark CPUs and GPUs in Cloud Environments
Aditi Saha, Mohammad Rahman, Fan Wu · 2024
This research delves into the performance analysis of Long Short-Term Memory (LSTM) models for time series data prediction, emphasizing system resource utilization. Through extensive experiments conducted on multi-GPU and CPU-configured cloud-based environments, our objective is to discern the more effective platform for deploying LSTM algorithms. The study provides valuable insights into optimizing computational resources for enhanced LSTM performance in time series prediction tasks.