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Significant new challenges are continuously confronting the High EnergyPhysics (HEP) experiments, in particular the two detectors at the Large HadronCollider (LHC) at CERN, where nominal conditions deliver proton-protoncollisions to the detectors at a rate of 40 MHz. This rate must besignificantly reduced to comply with both the performance limitations of themass storage hardware and the capabilities of the computing resources toprocess the collected data in a timely fashion for physics analysis. At thesame time, the physics signals of interest must be retained with highefficiency.  The quest for rare new physics phenomena at the LHC leads us to evaluate aGraphics Processing Unit (GPU) enhancement of the existing High-Level Trigger(HLT), made possible by the current flexibility of the trigger system, whichnot only provides faster and more efficient event selection, but also includesthe possibility of new complex triggers that were not previously feasible. Anew tracking algorithm is evaluated on a NVIDIA Tesla K20c GPU, allowing forthe first time the reconstruction of long-lived particles at the tracker systemin the trigger. Preliminary time performance and efficiency will be presented.

GPU Enhancement of the Trigger to Extend Physics Reach at the LHC