Deep searches for long duration transient sources

Document #:

JGW-G1605589-v1

Document type:

G

Submitted by:

Maurice H.P.M van Putten

Updated by:

Maurice H.P.M van Putten

Document Created:

27 Aug 2016, 10:03

Contents Revised:

27 Aug 2016, 10:03

DB Info Revised:

27 Aug 2016, 10:03

Abstract:

A GPU-implementation of a recently introduced butterfly filter (van Putten, 2016, ApJ, 819, 169) is presented with preliminary results on LIGO S6 hardware injections. It achieves compute-limited clFFT/AMD performance under OpenCL by dedicated pre- and post-callback functions, exploiting sparsity of high signal-to-noise candidate detections. It appears to be a cost-effective approach to deep searches for transient events by butterfly filtering. This research is supported, in part, by grants from NRF under 2015R1D1A1A01059793 and 2016R1A5A1013277.

Files in Document:

• KAGRAf2fToyama (talk.pdf, 1.8 MB)

Topics:

• Management:Collaboration meeting:KAGRA meeting
• Detector:Data Analysis
• Activity:Data Analysis

Authors:

• Maurice H.P.M van Putten

Keywords:

transient sources GPU-computing