Tricks and Tips: Covariance calculation with CUDA

Covariance calculation in CUDA can be easily performed by using cuBLAS in conjunction with Thrust.
Considering N realizations of K random variables, the covariance estimation formula is the following:


where qjkj,k=1,…,K are the covariance estimate values,  and   are the random variable means as estimated from the available realizations.

A fully worked example on how calculating the covariance matrix with Thrust and cuBLAS is reported on our GitHub page.

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