Cite
Iiyama Y, Cerminara G, Gupta A, et al. Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics. Front Big Data. 2021;3:598927doi: 10.3389/fdata.2020.598927.
Iiyama, Y., Cerminara, G., Gupta, A., Kieseler, J., Loncar, V., Pierini, M., Qasim, S. R., Rieger, M., Summers, S., Van Onsem, G., Wozniak, K. A., Ngadiuba, J., Di Guglielmo, G., Duarte, J., Harris, P., Rankin, D., Jindariani, S., Liu, M., Pedro, K., Tran, N., Kreinar, E., & Wu, Z. (2020). Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics. Frontiers in big data, 3598927. https://doi.org/10.3389/fdata.2020.598927
Iiyama, Yutaro, et al. "Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics." Frontiers in big data vol. 3 (2020): 598927. doi: https://doi.org/10.3389/fdata.2020.598927
Iiyama Y, Cerminara G, Gupta A, Kieseler J, Loncar V, Pierini M, Qasim SR, Rieger M, Summers S, Van Onsem G, Wozniak KA, Ngadiuba J, Di Guglielmo G, Duarte J, Harris P, Rankin D, Jindariani S, Liu M, Pedro K, Tran N, Kreinar E, Wu Z. Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics. Front Big Data. 2021 Jan 12;3:598927. doi: 10.3389/fdata.2020.598927. eCollection 2020. PMID: 33791596; PMCID: PMC8006281.
Copy
Download .nbib