GPU Parallel Noise Filtering In LHASSO-WCDA

Abstract

High level of single noise rate is one of the difficult problems of the LHAASO-WCDA that leads to a stage of a GPU based noise filtering method. With NVIDIA CUDA technology this method use parallelization sky cells analysis to find the most possible direction. Through this process it could filter the noise in LHAASO-WCDA as well as compressed data volume. The test run separately in CPU and GPU serve shows: the program is ten times faster running at GPU serve than CPU serve. When this application turns mature and stable, the large computer cluster to be built at the LHAASO site could be replaced by a small scaled GPU-based computing facility and improve the real-time monitoring in LHAASO-WCDA.

Department(s)

Physics

Keywords and Phrases

Cosmic rays; GPGPU; LHAASO-WCDA; Noise filtering

International Standard Serial Number (ISSN)

0258-0934

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2025 The Atomic Energy Press, All rights reserved.

Publication Date

20 Jan 2018

This document is currently not available here.

Share

 
COinS