On tensor calculations via parallel programming

摘要

The paper describes an innovative approach of tensor calculations using parallel programming architecture. General use of a Graphic Processor Unit (GPU) in complicated and time-consuming operations on a large volume of data represented by tensor algebra is considered. Experimental verifications show practical utility of this approach. As a result, significant increase in speed of calculations compared with the classic sequential method have been demonstrated.