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Table 3 Training time (in seconds) for a single iteration under different implementations of MedGP

From: Sparse multi-output Gaussian processes for online medical time series prediction

Implementation

Sequential

Multithreading

Computing Gram matrix

11

2

Inverting Gram matrix

13

3

Computing gradients

2497

97

Total per iteration

2521

102

  1. The total number of observations across time for this patient is 6679. The sequential test used a single CPU, while the multithreading test used 35 CPUs—one thread per CPU
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