activity
20112019
most citedFast inference of deep neural networks in FPGAs for particle physics

438 citations · 516 across the 5 of their papers we have counts for

collaborators

5 papers

physics.data-an2019★ 63 cited

FPGA-accelerated machine learning inference as a service for particle physics computing

Javier Duarte, Philip Harris, Scott Hauck +20

New heterogeneous computing paradigms on dedicated hardware with increased parallelization, such as Field Programmable Gate Arrays (FPGAs), offer exciting solutions with large pote…

physics.ins-det2018★ 3 cited

Particle Flow and PUPPI in the Level-1 Trigger at CMS for the HL-LHC

Benjamin Kreis

With the planned addition of tracking information to the Compact Muon Solenoid (CMS) Level-1 trigger for the High-Luminosity Large Hadron Collider (HL-LHC), the trigger algorithms…

physics.ins-det2018★ 438 cited

Fast inference of deep neural networks in FPGAs for particle physics

Javier Duarte, Song Han, Philip Harris +8

Recent results at the Large Hadron Collider (LHC) have pointed to enhanced physics capabilities through the improvement of the real-time event processing techniques. Machine learni…

physics.ins-det2015★ 7 cited

Run 2 Upgrades to the CMS Level-1 Calorimeter Trigger

B. Kreis, J. Berryhill, R. Cavanaugh +61

The CMS Level-1 calorimeter trigger is being upgraded in two stages to maintain performance as the LHC increases pile-up and instantaneous luminosity in its second run. In the firs…

physics.ins-det2011★ 5 cited

The Online Calibration, Operation, and Performance of the CMS Pixel Detector

B. Kreis

The CMS pixel detector consists of approximately 66 million silicon pixels whose analog signals are read out by 15,840 programmable Readout Chips. With the recent startup of the LH…