Alexander D. Tapper

According to our database, Alexander D. Tapper authored at least 9 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

JEDI-linear: Fast and Efficient Graph Neural Networks for Jet Tagging on FPGAs.

Zhiqiang Que, Chang Sun, Sudarshan Paramesvaran, Emyr John Clement, Katerina Karakoulaki, Christopher Brown, Lauri Laatu, Arianna Cox, Alexander D. Tapper, Wayne Luk, Maria Spiropulu

CoRR, August, 2025

2024

LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics.

Zhiqiang Que, Hongxiang Fan, Marcus Loo, He Li, Michaela Blott, Maurizio Pierini, Alexander D. Tapper, Wayne Luk

ACM Trans. Embed. Comput. Syst., March, 2024

Ultrafast jet classification at the HL-LHC.

Patrick Odagiu, Zhiqiang Que, Javier M. Duarte, Johannes Haller, Gregor Kasieczka, Artur Lobanov, Vladimir Loncar, Wayne Luk, Jennifer Ngadiuba, Maurizio Pierini, Philipp Rincke, Arpita Seksaria, Sioni Summers, Andre Sznajder, Alexander D. Tapper, Thea Klæboe Årrestad

Mach. Learn. Sci. Technol., 2024

Quantum pathways for charged track finding in high-energy collisions.

Christopher Brown, Michael Spannowsky, Alexander D. Tapper, Simon Williams, Ioannis Xiotidis

Frontiers Artif. Intell., 2024

Sets are all you need: Ultrafast jet classification on FPGAs for HL-LHC.

Patrick Odagiu, Zhiqiang Que, Javier M. Duarte, Johannes Haller, Gregor Kasieczka, Artur Lobanov, Vladimir Loncar, Wayne Luk, Jennifer Ngadiuba, Maurizio Pierini, Philipp Rincke, Arpita Seksaria, Sioni Summers, Andre Sznajder, Alexander D. Tapper, Thea Klæboe Årrestad

CoRR, 2024

2022

LL-GNN: Low Latency Graph Neural Networks on FPGAs for Particle Detectors.

Zhiqiang Que, Marcus Loo, Hongxiang Fan, Michaela Blott, Maurizio Pierini, Alexander D. Tapper, Wayne Luk

CoRR, 2022

Accelerating Transformer Neural Networks on FPGAs for High Energy Physics Experiments.

Filip Wojcicki, Zhiqiang Que, Alexander D. Tapper, Wayne Luk

Proceedings of the International Conference on Field-Programmable Technology, 2022

Optimizing Graph Neural Networks for Jet Tagging in Particle Physics on FPGAs.

Zhiqiang Que, Marcus Loo, Hongxiang Fan, Maurizio Pierini, Alexander D. Tapper, Wayne Luk

Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

2017

A novel FPGA-based track reconstruction approach for the level-1 trigger of the CMS experiment at CERN.

Robin Aggleton, Luis E. Ardila-Perez, Fionn Amhairghen Ball, Matthias Norbert Balzer, James John Brooke, Luigi Calligaris, Michele Caselle, Davide Cieri, Emyr John Clement, Geoffrey Hall, Kristian Harder, Peter R. Hobson, Gregory M. Iles, Thomas James, Konstantinos Manolopoulos, Takashi Matsushita, Alexander D. Morton, David Newbold, Sudarshan Paramesvaran, Mark Franco Pesaresi, Ivan D. Reid, Andrew W. Rose, Oliver Sander, Thomas Schuh, Claire Shepherd-Themistocleous, Antoni Shtipliyski, Sioni Paris Summers, Alexander D. Tapper, Ian Tomalin, Kirika Uchida, Paschalis Vichoudis, Marc Weber

Proceedings of the 27th International Conference on Field Programmable Logic and Applications, 2017