GPU_inspiral < RmiVirgo

---+ 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. 

<center>
---++++!! This results a *speed-up factor of 2 orders of magnitude* ! 
</center>

---+ Documentation
Ther is some material available on this project:

---+ Future plans

---+ Developers
   1 Bence Somhegyi 
   1 Gergely Debreczeni

This topic: RmiVirgo > WebHome > GPU_inspiral
Topic revision: r1 - 2011-06-28 - GergelyDebreczeni

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