Philip Harris

GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments

Kevin Pedro, Michael Wang, Burt Holzman, 2020, Frontiers in Big Data.

Machine learning uncertainties with adversarial neural networks

Philip Harris, Christoph Englert, Peter Galler, 2018, The European Physical Journal C.

Commissioning of the CMS High-Level Trigger with Cosmic Rays

J. Yarba, Jin Su Kim, A. Tsirou, 2010 .

GPU coprocessors as a service for deep learning inference in high energy physics pdf

Javier Duarte, Kevin Pedro, Scott Hauck, 2020, Mach. Learn. Sci. Technol..

FPGAs-as-a-Service Toolkit (FaaST)

Yu Lou, Javier Duarte, Kevin Pedro, 2020, 2020 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC).

Joint UK Land Environment Simulator (JULES) Version 2.0 User Manual

Douglas B. Clark, Philip Harris, D. Clark, 2007 .

Fast inference of Boosted Decision Trees in FPGAs for particle physics pdf

Javier Duarte, Maurizio Pierini, Vladimir Loncar, 2020, Journal of Instrumentation.

Fast convolutional neural networks on FPGAs with hls4ml pdf

Javier Duarte, Yutaro Iiyama, Kevin Pedro, 2021, ArXiv.

FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing

Javier Duarte, Benjamin Kreis, Kevin Pedro, 2019, Computing and Software for Big Science.

Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs pdf

Javier Duarte, Maurizio Pierini, Mark Neubauer, 2020, ArXiv.

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics

Gianluca Cerminara, Javier Duarte, Yutaro Iiyama, 2020, Frontiers in Big Data.