Data crowdsourcing is one of most remarkable results of pervasive and internet connected low-power devices making diverse and different âthingsâ as a world wide distributed system. This paper is focused on a vertical application of GPGPU virtualization software exploitation targeted on high performance geographical data interpolation. We present an innovative implementation of the Inverse Distance Weight (IDW) interpolation algorithm leveraging on CUDA GPGPUs. We perform tests in both physical and virtualized environments in order to demonstrate the potential scalability in production. We present an use case related to high resolution bathymetry interpolation in a crowdsource data context.
|Titolo:||Using GPGPU accelerated interpolation algorithms for marine bathymetry processing with on-premises and cloud based computational resources|
|Data di pubblicazione:||2018|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|