GPU Implementation of Multiline TRL Calibration for Efficient Monte-Carlo Uncertainty Analysis
Paweł Linczuk , Piotr Zdunek , Paweł Barmuta , Marcin Kotz , Arkadiusz Lewandowski
AbstractWe present a graphics-processing-unit (GPU) OpenCL implementation of the multiline through-reflect-line (TRL) algorithm of vector-network-analyzer (VNA) calibration. We obtained about 40x of speed improvement on a middle-end GPU as compared to a single-threaded C/C++ implementation. This speed improvement leads to a significant acceleration of VNA-measurement Monte-Carlo uncertainty analysis, making it possible to evaluate VNA measurement uncertainties in a timeframe of a few minutes.
|Publication size in sheets||0.5|
|Book||Organizing Committee of Conference MIKON: Proc. 21st International Conference on Microwaves, Radar and Wireless Communications, 2016, IEEE, ISBN 9781509022151, 732 p.|
|Keywords in English||multline through-reflect-line (TRL) calibra- tion, Monte-Carlo uncertainty analysis, graphics processing unit (GPU), high-performance computing (HPC)|
|Score|| = 15.0, 30-06-2020, BookChapterMatConfByConferenceseries|
= 15.0, 30-06-2020, BookChapterMatConfByConferenceseries
|Publication indicators||= 3; = 0; = 3.0|
|Citation count*||3 (2020-07-01)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.