GPU_inspiral

GPU_inspiral is a low-latency, high performance many-core implementation of the matched-filter gravitational wave search algorithm, developed by the RMKI Virgo Group. The base is an architecture and vendor independent OpenCL code. The sub algorithms implemented so far are the following:

• template generation
• PSD calculation
• matched-filtering
• chi2 calculation
• clustering of events

Performance

Performence test was done on a 2048 sec long data chunk, 500 template of 64 sec long was filtered. The code run on an Nvidia Tesla C2050. To produce the SNR time series it took ~17 sec for gpu_inpiral, this has to be compare with the ~40 minutes necessary for lalapps_inspiral to produce the same result.

This results a *speed-up factor of 2 orders of magnitude !

Documentation

Ther is some material available on this project:

Future plans

Developers

1. Bence Somhegyi
2. Gergely Debreczeni