GPU Implementation of Multiline TRL Calibration for Efficient Monte-Carlo Uncertainty Analysis
Paweł Linczuk , Piotr Zdunek , Paweł Barmuta , Marcin Kotz , Arkadiusz Lewandowski
Abstract
We 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.| Author | |||||
| Pages | 1-4 | ||||
| Publication size in sheets | 0.5 | ||||
| Book | Organizing Committee of Conference MIKON: Proc. 21st International Conference on Microwaves, Radar and Wireless Communications, 2016, USA, 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) | ||||
| DOI | DOI:10.1109/MIKON.2016.7492106 | ||||
| URL | http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7492106&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7492106 | ||||
| Language | en angielski | ||||
| File |
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| Score (nominal) | 15 | ||||
| Score source | conferenceIndex | ||||
| Score | = 15.0, 30-06-2020, BookChapterMatConfByConferenceseries = 15.0, 30-06-2020, BookChapterMatConfByConferenceseries | ||||
| Publication indicators | = 3; = 0; = 3.0 | ||||
| Citation count* | 3 (2020-09-28) |
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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